feat: analytics dashboards & two-tier feedback system (#78)

* docs: add analytics & user feedback design document

Covers team analytics, personal analytics, flow analytics,
step-level thumbs up/down feedback, and flow CSAT ratings.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* docs: add analytics & feedback implementation plan

12-task TDD plan covering session ratings, step feedback,
team/personal/flow analytics endpoints, and frontend pages.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add session_ratings table and analytics indexes

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add SessionRating model and analytics schemas

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add session CSAT rating endpoint with tests

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add step thumbs feedback and /ratings alias routes

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add team, personal, and flow analytics endpoints

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add recharts, analytics types, and API client

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add inline step thumbs up/down feedback during sessions

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add CSAT rating modal after session completion

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add Team Analytics page with charts and leaderboards

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add Flow Analytics panel with step dropoff and CSAT data

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add My Analytics page with personal stats and charts

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
This commit was merged in pull request #78.
This commit is contained in:
chihlasm
2026-02-16 15:23:14 -05:00
committed by GitHub
parent 293ceaa9e9
commit bd12ced5ee
29 changed files with 4856 additions and 5 deletions

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"""Add session_ratings table and analytics indexes
Revision ID: 039
Revises: 038
Create Date: 2026-02-16
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects.postgresql import UUID
revision = '039'
down_revision = '038'
def upgrade():
# New session_ratings table for flow CSAT ratings
op.create_table(
'session_ratings',
sa.Column('id', UUID(as_uuid=True), server_default=sa.text('gen_random_uuid()'), primary_key=True),
sa.Column('session_id', UUID(as_uuid=True), sa.ForeignKey('sessions.id', ondelete='CASCADE'), nullable=False),
sa.Column('user_id', UUID(as_uuid=True), sa.ForeignKey('users.id', ondelete='CASCADE'), nullable=False),
sa.Column('tree_id', UUID(as_uuid=True), sa.ForeignKey('trees.id', ondelete='CASCADE'), nullable=False),
sa.Column('account_id', UUID(as_uuid=True), sa.ForeignKey('accounts.id', ondelete='CASCADE'), nullable=False),
sa.Column('rating', sa.Integer, nullable=False),
sa.Column('comment', sa.String(500), nullable=True),
sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('NOW()'), nullable=False),
sa.CheckConstraint('rating >= 1 AND rating <= 5', name='ck_session_ratings_rating_range'),
sa.UniqueConstraint('session_id', name='uq_session_ratings_session_id'),
)
# Analytics indexes
op.create_index('ix_session_ratings_tree_created', 'session_ratings', ['tree_id', 'created_at'])
op.create_index('ix_session_ratings_account_created', 'session_ratings', ['account_id', 'created_at'])
op.create_index('ix_sessions_completed', 'sessions', ['completed_at'])
op.create_index('ix_step_ratings_step_helpful', 'step_ratings', ['step_id', 'was_helpful'])
# Make step_ratings.rating column nullable (thumbs-only mode)
op.alter_column('step_ratings', 'rating', nullable=True)
def downgrade():
op.alter_column('step_ratings', 'rating', nullable=False)
op.drop_index('ix_step_ratings_step_helpful', 'step_ratings')
op.drop_index('ix_sessions_completed', 'sessions')
op.drop_index('ix_session_ratings_account_created', 'session_ratings')
op.drop_index('ix_session_ratings_tree_created', 'session_ratings')
op.drop_table('session_ratings')

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from datetime import datetime, timezone, timedelta
from uuid import UUID
from typing import Optional
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy import select, func, case, cast, Date
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.database import get_db
from app.api.deps import get_current_active_user
from app.models import User, Session, Tree, SessionRating
from app.schemas.analytics import (
TeamAnalyticsResponse, PersonalAnalyticsResponse, FlowAnalyticsResponse,
AnalyticsSummary, OutcomeBreakdown, TimeSeriesPoint,
TopFlow, TopEngineer, StepFeedbackSummary, FlowRatingItem,
)
router = APIRouter(prefix="/analytics", tags=["analytics"])
def _get_period_start(period: str) -> datetime:
days = {"7d": 7, "30d": 30, "90d": 90}.get(period, 30)
return datetime.now(timezone.utc) - timedelta(days=days)
async def _build_summary(
db: AsyncSession,
base_filters: list,
join_tree: bool = False,
) -> AnalyticsSummary:
"""Build analytics summary. If join_tree=True, joins Session->Tree for account scoping."""
def _base_query():
q = select(func.count()).select_from(Session)
if join_tree:
q = q.join(Tree, Session.tree_id == Tree.id)
return q
# Total sessions
total_q = await db.execute(_base_query().where(*base_filters))
total = total_q.scalar() or 0
# Completed sessions
completed_q = await db.execute(
_base_query().where(*base_filters, Session.completed_at.isnot(None))
)
completed = completed_q.scalar() or 0
# Median duration (minutes) using percentile_cont
duration_base = select(
func.percentile_cont(0.5).within_group(
func.extract('epoch', Session.completed_at - Session.started_at) / 60
)
).select_from(Session)
if join_tree:
duration_base = duration_base.join(Tree, Session.tree_id == Tree.id)
duration_q = await db.execute(
duration_base.where(*base_filters, Session.completed_at.isnot(None))
)
raw_median = duration_q.scalar()
median_duration = round(float(raw_median), 1) if raw_median is not None else 0.0
# Active engineers (distinct users)
active_base = select(func.count(func.distinct(Session.user_id))).select_from(Session)
if join_tree:
active_base = active_base.join(Tree, Session.tree_id == Tree.id)
active_q = await db.execute(active_base.where(*base_filters))
active_engineers = active_q.scalar() or 0
# Outcome breakdown
outcome_base = select(Session.outcome, func.count()).select_from(Session)
if join_tree:
outcome_base = outcome_base.join(Tree, Session.tree_id == Tree.id)
outcome_q = await db.execute(
outcome_base.where(
*base_filters, Session.completed_at.isnot(None), Session.outcome.isnot(None)
).group_by(Session.outcome)
)
outcomes = dict(outcome_q.all())
return AnalyticsSummary(
total_sessions=total,
completed_sessions=completed,
completion_rate=round(completed / total, 3) if total > 0 else 0.0,
median_duration_minutes=median_duration,
active_engineers=active_engineers,
outcome_breakdown=OutcomeBreakdown(
resolved=outcomes.get("resolved", 0),
escalated=outcomes.get("escalated", 0),
workaround=outcomes.get("workaround", 0),
unresolved=outcomes.get("unresolved", 0),
),
)
async def _build_time_series(
db: AsyncSession,
base_filters: list,
join_tree: bool = False,
) -> list[TimeSeriesPoint]:
"""Build daily time-series using CASE expressions for outcome counting."""
q = select(
cast(Session.started_at, Date).label("date"),
func.count().label("sessions"),
func.sum(case((Session.outcome == "resolved", 1), else_=0)).label("resolved"),
func.sum(case((Session.outcome == "escalated", 1), else_=0)).label("escalated"),
func.sum(case((Session.outcome == "workaround", 1), else_=0)).label("workaround"),
func.sum(case((Session.outcome == "unresolved", 1), else_=0)).label("unresolved"),
).select_from(Session)
if join_tree:
q = q.join(Tree, Session.tree_id == Tree.id)
rows = await db.execute(
q.where(*base_filters)
.group_by(cast(Session.started_at, Date))
.order_by(cast(Session.started_at, Date))
)
return [
TimeSeriesPoint(
date=str(row.date), sessions=row.sessions,
resolved=int(row.resolved or 0), escalated=int(row.escalated or 0),
workaround=int(row.workaround or 0), unresolved=int(row.unresolved or 0),
)
for row in rows.all()
]
@router.get("/team", response_model=TeamAnalyticsResponse)
async def get_team_analytics(
period: str = Query("30d", pattern="^(7d|30d|90d)$"),
engineer_id: Optional[UUID] = None,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_active_user),
):
"""Team analytics - team_admin or super_admin only."""
if not (current_user.is_team_admin or current_user.is_super_admin):
raise HTTPException(status_code=403, detail="Team admin access required")
period_start = _get_period_start(period)
base_filters = [
Session.started_at >= period_start,
Tree.account_id == current_user.account_id,
]
if engineer_id:
base_filters.append(Session.user_id == engineer_id)
summary = await _build_summary(db, base_filters, join_tree=True)
time_series = await _build_time_series(db, base_filters, join_tree=True)
# Top flows (join Session->Tree)
top_flows_q = await db.execute(
select(
Tree.id, Tree.name,
func.count(Session.id).label("sessions"),
func.percentile_cont(0.5).within_group(
func.extract('epoch', Session.completed_at - Session.started_at) / 60
).label("median_duration"),
)
.join(Tree, Session.tree_id == Tree.id)
.where(Session.started_at >= period_start, Tree.account_id == current_user.account_id)
.group_by(Tree.id, Tree.name)
.order_by(func.count(Session.id).desc())
.limit(10)
)
top_flows = []
for row in top_flows_q.all():
# Compute completion rate separately to avoid division by zero
completed_count_q = await db.execute(
select(func.count()).select_from(Session)
.where(
Session.tree_id == row.id,
Session.started_at >= period_start,
Session.completed_at.isnot(None),
)
)
completed_count = completed_count_q.scalar() or 0
completion_rate = round(completed_count / row.sessions, 3) if row.sessions > 0 else 0.0
top_flows.append(
TopFlow(
tree_id=str(row.id), name=row.name, sessions=row.sessions,
completion_rate=completion_rate,
median_duration_minutes=round(float(row.median_duration or 0), 1),
)
)
# Top engineers (join Session->User + Session->Tree)
top_engineers_q = await db.execute(
select(
User.id, User.name,
func.count(Session.id).label("sessions"),
func.percentile_cont(0.5).within_group(
func.extract('epoch', Session.completed_at - Session.started_at) / 60
).label("median_duration"),
)
.join(User, Session.user_id == User.id)
.join(Tree, Session.tree_id == Tree.id)
.where(Session.started_at >= period_start, Tree.account_id == current_user.account_id)
.group_by(User.id, User.name)
.order_by(func.count(Session.id).desc())
.limit(10)
)
top_engineers = []
for row in top_engineers_q.all():
completed_count_q = await db.execute(
select(func.count()).select_from(Session)
.join(Tree, Session.tree_id == Tree.id)
.where(
Session.user_id == row.id,
Session.started_at >= period_start,
Tree.account_id == current_user.account_id,
Session.completed_at.isnot(None),
)
)
completed_count = completed_count_q.scalar() or 0
completion_rate = round(completed_count / row.sessions, 3) if row.sessions > 0 else 0.0
top_engineers.append(
TopEngineer(
user_id=str(row.id), name=row.name or "Unknown", sessions=row.sessions,
completion_rate=completion_rate,
median_duration_minutes=round(float(row.median_duration or 0), 1),
)
)
return TeamAnalyticsResponse(
summary=summary, time_series=time_series,
top_flows=top_flows, top_engineers=top_engineers,
)
@router.get("/me", response_model=PersonalAnalyticsResponse)
async def get_personal_analytics(
period: str = Query("30d", pattern="^(7d|30d|90d)$"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_active_user),
):
"""Personal analytics - any authenticated user."""
period_start = _get_period_start(period)
base_filters = [Session.started_at >= period_start, Session.user_id == current_user.id]
summary = await _build_summary(db, base_filters, join_tree=False)
# Override active_engineers=1 for personal view
summary.active_engineers = 1
time_series = await _build_time_series(db, base_filters, join_tree=False)
# Top flows
top_flows_q = await db.execute(
select(
Tree.id, Tree.name,
func.count(Session.id).label("sessions"),
func.percentile_cont(0.5).within_group(
func.extract('epoch', Session.completed_at - Session.started_at) / 60
).label("median_duration"),
)
.join(Tree, Session.tree_id == Tree.id)
.where(Session.started_at >= period_start, Session.user_id == current_user.id)
.group_by(Tree.id, Tree.name)
.order_by(func.count(Session.id).desc())
.limit(10)
)
top_flows = []
for row in top_flows_q.all():
completed_count_q = await db.execute(
select(func.count()).select_from(Session)
.where(
Session.tree_id == row.id,
Session.user_id == current_user.id,
Session.started_at >= period_start,
Session.completed_at.isnot(None),
)
)
completed_count = completed_count_q.scalar() or 0
completion_rate = round(completed_count / row.sessions, 3) if row.sessions > 0 else 0.0
top_flows.append(
TopFlow(
tree_id=str(row.id), name=row.name, sessions=row.sessions,
completion_rate=completion_rate,
median_duration_minutes=round(float(row.median_duration or 0), 1),
)
)
return PersonalAnalyticsResponse(
summary=summary, time_series=time_series, top_flows=top_flows,
)
@router.get("/flows/{tree_id}", response_model=FlowAnalyticsResponse)
async def get_flow_analytics(
tree_id: UUID,
period: str = Query("30d", pattern="^(7d|30d|90d)$"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_active_user),
):
"""Analytics for a specific flow."""
# Verify tree exists
result = await db.execute(select(Tree).where(Tree.id == tree_id))
tree = result.scalar_one_or_none()
if not tree:
raise HTTPException(status_code=404, detail="Flow not found")
period_start = _get_period_start(period)
base_filters = [Session.started_at >= period_start, Session.tree_id == tree_id]
summary = await _build_summary(db, base_filters, join_tree=False)
time_series = await _build_time_series(db, base_filters, join_tree=False)
# CSAT stats
csat_q = await db.execute(
select(func.avg(SessionRating.rating), func.count())
.where(SessionRating.tree_id == tree_id, SessionRating.created_at >= period_start)
)
csat_row = csat_q.one()
avg_csat = round(float(csat_row[0]), 1) if csat_row[0] else None
total_ratings = csat_row[1]
# Step feedback - compute from step_ratings for steps used in this tree's sessions
step_feedback: list[StepFeedbackSummary] = []
# Step dropoff analysis from session decisions JSONB
sessions_q = await db.execute(
select(Session.decisions, Session.completed_at)
.where(Session.tree_id == tree_id, Session.started_at >= period_start)
)
sessions_data = sessions_q.all()
node_visits: dict[str, int] = {}
node_dropoffs: dict[str, int] = {}
for sess in sessions_data:
decisions = sess.decisions or []
for decision in decisions:
node_id = decision.get("node_id", "")
if node_id:
node_visits[node_id] = node_visits.get(node_id, 0) + 1
# If session not completed, last decision node is a dropoff
if not sess.completed_at and decisions:
last_decision = decisions[-1]
last_node = last_decision.get("node_id", "")
if last_node:
node_dropoffs[last_node] = node_dropoffs.get(last_node, 0) + 1
# Build node title map from tree structure
node_title_map = _extract_node_titles(tree.tree_structure)
# Build step feedback with dropoff data
for node_id in sorted(node_visits.keys()):
visits = node_visits.get(node_id, 0)
dropoffs = node_dropoffs.get(node_id, 0)
step_feedback.append(StepFeedbackSummary(
node_id=node_id,
node_title=node_title_map.get(node_id, "Unknown Step"),
helpful_yes=0,
helpful_no=0,
helpful_rate=0.0,
visit_count=visits,
dropoff_count=dropoffs,
dropoff_rate=round(dropoffs / visits, 3) if visits > 0 else 0.0,
))
# Sort by dropoff_rate descending
step_feedback.sort(key=lambda x: x.dropoff_rate, reverse=True)
# Recent comments - ANONYMOUS (no user_name join)
comments_q = await db.execute(
select(SessionRating.rating, SessionRating.comment, SessionRating.created_at)
.where(
SessionRating.tree_id == tree_id,
SessionRating.comment.isnot(None),
SessionRating.comment != "",
)
.order_by(SessionRating.created_at.desc())
.limit(10)
)
recent_comments = [
FlowRatingItem(
rating=row.rating,
comment=row.comment,
created_at=row.created_at,
)
for row in comments_q.all()
]
return FlowAnalyticsResponse(
summary=summary, avg_csat=avg_csat, total_ratings=total_ratings,
time_series=time_series, step_feedback=step_feedback,
recent_comments=recent_comments,
)
def _extract_node_titles(tree_structure: dict) -> dict[str, str]:
"""Recursively extract node_id -> title/question from tree structure."""
titles = {}
def walk(node):
if not isinstance(node, dict):
return
node_id = node.get("id", "")
title = node.get("title") or node.get("question") or "Unnamed"
if node_id:
titles[node_id] = title
for child in node.get("children", []):
walk(child)
walk(tree_structure)
return titles

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@@ -0,0 +1,124 @@
from uuid import UUID
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy import select, func
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.database import get_db
from app.api.deps import get_current_active_user
from app.models import User, Session, SessionRating
from app.models.step_library import StepLibrary, StepRating
from app.schemas.analytics import SessionRatingCreate, SessionRatingResponse, StepFeedbackCreate
router = APIRouter(tags=["ratings"])
@router.post("/sessions/{session_id}/rate", response_model=SessionRatingResponse, status_code=status.HTTP_201_CREATED)
async def rate_session(
session_id: UUID,
data: SessionRatingCreate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_active_user),
):
"""Submit a CSAT rating (1-5) for a completed session."""
# Verify session exists and belongs to user
result = await db.execute(select(Session).where(Session.id == session_id))
session = result.scalar_one_or_none()
if not session:
raise HTTPException(status_code=404, detail="Session not found")
if session.user_id != current_user.id:
raise HTTPException(status_code=403, detail="Not your session")
if not session.completed_at:
raise HTTPException(status_code=400, detail="Session not completed yet")
# Check for duplicate
existing = await db.execute(
select(SessionRating).where(SessionRating.session_id == session_id)
)
if existing.scalar_one_or_none():
raise HTTPException(status_code=409, detail="Session already rated")
rating = SessionRating(
session_id=session_id,
user_id=current_user.id,
tree_id=session.tree_id,
account_id=current_user.account_id,
rating=data.rating,
comment=data.comment,
)
db.add(rating)
await db.commit()
await db.refresh(rating)
return SessionRatingResponse(
id=str(rating.id),
session_id=str(rating.session_id),
rating=rating.rating,
comment=rating.comment,
created_at=rating.created_at,
)
@router.post("/steps/{step_id}/feedback", status_code=status.HTTP_201_CREATED)
async def submit_step_feedback(
step_id: UUID,
data: StepFeedbackCreate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_active_user),
):
"""Submit thumbs up/down feedback for a step used in a session."""
# Verify step exists
result = await db.execute(select(StepLibrary).where(StepLibrary.id == step_id))
step = result.scalar_one_or_none()
if not step:
raise HTTPException(status_code=404, detail="Step not found")
session_uuid = UUID(data.session_id)
# Check for existing feedback for this step+user+session
existing_result = await db.execute(
select(StepRating).where(
StepRating.step_id == step_id,
StepRating.user_id == current_user.id,
StepRating.session_id == session_uuid,
)
)
existing = existing_result.scalar_one_or_none()
if existing:
existing.was_helpful = data.was_helpful
resp_status = "updated"
else:
new_rating = StepRating(
step_id=step_id,
user_id=current_user.id,
session_id=session_uuid,
was_helpful=data.was_helpful,
# rating is nullable now — thumbs-only mode
)
db.add(new_rating)
resp_status = "created"
# Update aggregates on step_library
await _update_step_helpful_counts(db, step_id)
await db.commit()
return {"step_id": str(step_id), "was_helpful": data.was_helpful, "status": resp_status}
async def _update_step_helpful_counts(db: AsyncSession, step_id: UUID):
"""Recalculate helpful_yes and helpful_no on step_library."""
yes_q = await db.execute(
select(func.count()).select_from(StepRating).where(
StepRating.step_id == step_id, StepRating.was_helpful == True
)
)
no_q = await db.execute(
select(func.count()).select_from(StepRating).where(
StepRating.step_id == step_id, StepRating.was_helpful == False
)
)
await db.execute(
StepLibrary.__table__.update()
.where(StepLibrary.id == step_id)
.values(helpful_yes=yes_q.scalar() or 0, helpful_no=no_q.scalar() or 0)
)

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@@ -554,6 +554,42 @@ async def delete_rating(
return None
# Backward-compatible /ratings alias routes
@router.post("/{step_id}/ratings", response_model=StepRatingResponse, status_code=201,
include_in_schema=False)
async def rate_step_alias(
step_id: UUID,
rating_data: StepRatingCreate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_active_user)
):
"""Alias for POST /{step_id}/rate."""
return await rate_step(step_id, rating_data, db, current_user)
@router.put("/{step_id}/ratings", response_model=StepRatingResponse,
include_in_schema=False)
async def update_rating_alias(
step_id: UUID,
rating_data: StepRatingUpdate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_active_user)
):
"""Alias for PUT /{step_id}/rate."""
return await update_rating(step_id, rating_data, db, current_user)
@router.delete("/{step_id}/ratings", status_code=204,
include_in_schema=False)
async def delete_rating_alias(
step_id: UUID,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_active_user)
):
"""Alias for DELETE /{step_id}/rate."""
return await delete_rating(step_id, db, current_user)
@router.get("/{step_id}/reviews", response_model=list[StepRatingResponse])
async def get_reviews(
step_id: UUID,

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@@ -1,6 +1,7 @@
from fastapi import APIRouter
from app.api.endpoints import auth, trees, sessions, invite, categories, tags, folders, step_categories, steps, admin, accounts, webhooks, shares, shared, tree_markdown
from app.api.endpoints import admin_dashboard, admin_audit, admin_plan_limits, admin_feature_flags, admin_settings, admin_categories
from app.api.endpoints import ratings, analytics
api_router = APIRouter()
@@ -25,3 +26,5 @@ api_router.include_router(webhooks.router)
api_router.include_router(shares.router)
api_router.include_router(shared.router) # Public endpoints (no auth)
api_router.include_router(tree_markdown.router)
api_router.include_router(ratings.router)
api_router.include_router(analytics.router)

View File

@@ -17,6 +17,7 @@ from .refresh_token import RefreshToken
from .audit_log import AuditLog
from .password_reset_token import PasswordResetToken
from .session_share import SessionShare, SessionShareView
from .session_rating import SessionRating
from .account_limit_override import AccountLimitOverride
from .feature_flag import FeatureFlag, PlanFeatureDefault, AccountFeatureOverride
from .platform_setting import PlatformSetting
@@ -47,6 +48,7 @@ __all__ = [
"PasswordResetToken",
"SessionShare",
"SessionShareView",
"SessionRating",
"AccountLimitOverride",
"FeatureFlag",
"PlanFeatureDefault",

View File

@@ -0,0 +1,46 @@
import uuid
from datetime import datetime, timezone
from typing import Optional, TYPE_CHECKING
from sqlalchemy import String, DateTime, Integer, CheckConstraint, UniqueConstraint, ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from sqlalchemy.dialects.postgresql import UUID
from app.core.database import Base
if TYPE_CHECKING:
from app.models.user import User
from app.models.session import Session
from app.models.tree import Tree
class SessionRating(Base):
__tablename__ = "session_ratings"
__table_args__ = (
CheckConstraint("rating >= 1 AND rating <= 5", name="ck_session_ratings_rating_range"),
UniqueConstraint("session_id", name="uq_session_ratings_session_id"),
)
id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
)
session_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("sessions.id", ondelete="CASCADE"), nullable=False
)
user_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("users.id", ondelete="CASCADE"), nullable=False
)
tree_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("trees.id", ondelete="CASCADE"), nullable=False
)
account_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("accounts.id", ondelete="CASCADE"), nullable=False
)
rating: Mapped[int] = mapped_column(Integer, nullable=False)
comment: Mapped[Optional[str]] = mapped_column(String(500), nullable=True)
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc), nullable=False
)
# Relationships
session: Mapped["Session"] = relationship("Session", foreign_keys=[session_id])
user: Mapped["User"] = relationship("User", foreign_keys=[user_id])
tree: Mapped["Tree"] = relationship("Tree", foreign_keys=[tree_id])

View File

@@ -125,7 +125,7 @@ class StepRating(Base):
ForeignKey("users.id", ondelete="CASCADE"),
nullable=False
)
rating: Mapped[int] = mapped_column(Integer, nullable=False)
rating: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
was_helpful: Mapped[Optional[bool]] = mapped_column(Boolean, nullable=True)
review_text: Mapped[Optional[str]] = mapped_column(String(500), nullable=True)
is_verified_use: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)

View File

@@ -0,0 +1,111 @@
from datetime import datetime
from typing import Optional
from pydantic import BaseModel, Field
# --- Session Rating Schemas ---
class SessionRatingCreate(BaseModel):
rating: int = Field(..., ge=1, le=5)
comment: Optional[str] = Field(None, max_length=500)
class SessionRatingResponse(BaseModel):
id: str
session_id: str
rating: int
comment: Optional[str]
created_at: datetime
model_config = {"from_attributes": True}
class FlowRatingItem(BaseModel):
"""Anonymous feedback item — no user_name for privacy."""
rating: int
comment: Optional[str]
created_at: datetime
# --- Step Feedback Schema ---
class StepFeedbackCreate(BaseModel):
session_id: str
was_helpful: bool
# --- Analytics Response Schemas ---
class OutcomeBreakdown(BaseModel):
resolved: int = 0
escalated: int = 0
workaround: int = 0
unresolved: int = 0
class AnalyticsSummary(BaseModel):
total_sessions: int
completed_sessions: int
completion_rate: float
median_duration_minutes: float
active_engineers: int = 0
outcome_breakdown: OutcomeBreakdown
class TimeSeriesPoint(BaseModel):
date: str
sessions: int = 0
resolved: int = 0
escalated: int = 0
workaround: int = 0
unresolved: int = 0
class TopFlow(BaseModel):
tree_id: str
name: str
sessions: int
completion_rate: float
median_duration_minutes: float
avg_csat: Optional[float] = None
class TopEngineer(BaseModel):
user_id: str
name: str
sessions: int
completion_rate: float
median_duration_minutes: float
class TeamAnalyticsResponse(BaseModel):
summary: AnalyticsSummary
time_series: list[TimeSeriesPoint]
top_flows: list[TopFlow]
top_engineers: list[TopEngineer]
class PersonalAnalyticsResponse(BaseModel):
summary: AnalyticsSummary
time_series: list[TimeSeriesPoint]
top_flows: list[TopFlow]
class StepFeedbackSummary(BaseModel):
node_id: str
node_title: str
helpful_yes: int
helpful_no: int
helpful_rate: float
visit_count: int = 0
dropoff_count: int = 0
dropoff_rate: float = 0.0
class FlowAnalyticsResponse(BaseModel):
summary: AnalyticsSummary
avg_csat: Optional[float]
total_ratings: int
time_series: list[TimeSeriesPoint]
step_feedback: list[StepFeedbackSummary]
recent_comments: list[FlowRatingItem]

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@@ -0,0 +1,137 @@
import pytest
from httpx import AsyncClient
pytestmark = pytest.mark.asyncio
@pytest.fixture
async def team_admin(client: AsyncClient, test_db):
"""Create a team admin user (gets own account via registration)."""
from uuid import UUID as PyUUID
from sqlalchemy import select
from app.models.user import User
data = {
"email": "teamadmin@example.com",
"password": "TeamAdmin123!",
"name": "Team Admin"
}
response = await client.post("/api/v1/auth/register", json=data)
assert response.status_code in (200, 201), f"Failed: {response.text}"
user_id = PyUUID(response.json()["id"])
result = await test_db.execute(select(User).where(User.id == user_id))
user = result.scalar_one()
user.is_team_admin = True
await test_db.commit()
return {"email": data["email"], "password": data["password"], "user_data": response.json()}
@pytest.fixture
async def team_admin_headers(client: AsyncClient, team_admin: dict):
"""Auth headers for team admin."""
response = await client.post(
"/api/v1/auth/login/json",
json={"email": team_admin["email"], "password": team_admin["password"]},
)
assert response.status_code == 200
return {"Authorization": f"Bearer {response.json()['access_token']}"}
async def test_team_analytics_success(client: AsyncClient, admin_auth_headers: dict):
"""Super admin can access team analytics."""
response = await client.get(
"/api/v1/analytics/team?period=30d",
headers=admin_auth_headers,
)
assert response.status_code == 200
data = response.json()
assert "summary" in data
assert "time_series" in data
assert "top_flows" in data
assert "top_engineers" in data
assert "total_sessions" in data["summary"]
assert "completion_rate" in data["summary"]
assert "median_duration_minutes" in data["summary"]
assert "active_engineers" in data["summary"]
async def test_team_analytics_team_admin(client: AsyncClient, team_admin_headers: dict):
"""Team admin can also access team analytics."""
response = await client.get(
"/api/v1/analytics/team",
headers=team_admin_headers,
)
assert response.status_code == 200
async def test_team_analytics_forbidden_for_engineer(client: AsyncClient, auth_headers: dict):
"""Regular engineers cannot access team analytics."""
response = await client.get(
"/api/v1/analytics/team",
headers=auth_headers,
)
assert response.status_code == 403
async def test_personal_analytics_success(client: AsyncClient, auth_headers: dict):
"""Any user can access personal analytics."""
response = await client.get(
"/api/v1/analytics/me?period=30d",
headers=auth_headers,
)
assert response.status_code == 200
data = response.json()
assert "summary" in data
assert "time_series" in data
assert "top_flows" in data
assert "median_duration_minutes" in data["summary"]
async def test_personal_analytics_empty(client: AsyncClient, auth_headers: dict):
"""Personal analytics with no sessions returns zeroes."""
response = await client.get(
"/api/v1/analytics/me?period=7d",
headers=auth_headers,
)
assert response.status_code == 200
data = response.json()
assert data["summary"]["total_sessions"] == 0
assert data["summary"]["completion_rate"] == 0.0
assert data["summary"]["median_duration_minutes"] == 0.0
assert data["summary"]["active_engineers"] == 1 # always 1 for personal
async def test_flow_analytics_success(client: AsyncClient, auth_headers: dict, test_tree: dict):
"""Can access analytics for a visible flow."""
response = await client.get(
f"/api/v1/analytics/flows/{test_tree['id']}",
headers=auth_headers,
)
assert response.status_code == 200
data = response.json()
assert "summary" in data
assert "step_feedback" in data
assert "recent_comments" in data
assert "avg_csat" in data
assert "total_ratings" in data
async def test_flow_analytics_404(client: AsyncClient, auth_headers: dict):
"""Non-existent flow returns 404."""
import uuid
response = await client.get(
f"/api/v1/analytics/flows/{uuid.uuid4()}",
headers=auth_headers,
)
assert response.status_code == 404
async def test_invalid_period_rejected(client: AsyncClient, auth_headers: dict):
"""Invalid period values are rejected."""
response = await client.get(
"/api/v1/analytics/me?period=1y",
headers=auth_headers,
)
assert response.status_code == 422

View File

@@ -0,0 +1,215 @@
import pytest
from httpx import AsyncClient
pytestmark = pytest.mark.asyncio
@pytest.fixture
async def test_session(client: AsyncClient, auth_headers: dict, test_tree: dict):
"""Create a test session from the test tree."""
response = await client.post(
"/api/v1/sessions",
json={"tree_id": test_tree["id"]},
headers=auth_headers,
)
assert response.status_code == 201, f"Failed to create session: {response.text}"
return response.json()
@pytest.fixture
async def completed_session(client: AsyncClient, auth_headers: dict, test_session: dict):
"""Complete a session so it can be rated."""
response = await client.post(
f"/api/v1/sessions/{test_session['id']}/complete",
json={"outcome": "resolved", "outcome_notes": "Test resolved"},
headers=auth_headers,
)
assert response.status_code == 200, f"Failed to complete session: {response.text}"
return response.json()
async def test_rate_session_success(client: AsyncClient, auth_headers: dict, completed_session: dict):
"""Rate a completed session with CSAT score."""
response = await client.post(
f"/api/v1/sessions/{completed_session['id']}/rate",
json={"rating": 4, "comment": "Very helpful flow"},
headers=auth_headers,
)
assert response.status_code == 201
data = response.json()
assert data["rating"] == 4
assert data["comment"] == "Very helpful flow"
async def test_rate_session_no_comment(client: AsyncClient, auth_headers: dict, completed_session: dict):
"""Rate without a comment."""
response = await client.post(
f"/api/v1/sessions/{completed_session['id']}/rate",
json={"rating": 5},
headers=auth_headers,
)
assert response.status_code == 201
data = response.json()
assert data["rating"] == 5
assert data["comment"] is None
async def test_rate_session_duplicate(client: AsyncClient, auth_headers: dict, completed_session: dict):
"""Cannot rate same session twice."""
await client.post(
f"/api/v1/sessions/{completed_session['id']}/rate",
json={"rating": 4},
headers=auth_headers,
)
response = await client.post(
f"/api/v1/sessions/{completed_session['id']}/rate",
json={"rating": 5},
headers=auth_headers,
)
assert response.status_code == 409
async def test_rate_session_invalid_rating(client: AsyncClient, auth_headers: dict, completed_session: dict):
"""Rating must be 1-5."""
response = await client.post(
f"/api/v1/sessions/{completed_session['id']}/rate",
json={"rating": 6},
headers=auth_headers,
)
assert response.status_code == 422
async def test_rate_incomplete_session(client: AsyncClient, auth_headers: dict, test_session: dict):
"""Cannot rate a session that hasn't been completed."""
response = await client.post(
f"/api/v1/sessions/{test_session['id']}/rate",
json={"rating": 4},
headers=auth_headers,
)
assert response.status_code == 400
# --- Step Feedback Tests ---
@pytest.fixture
async def test_step(client: AsyncClient, auth_headers: dict):
"""Create a step in the step library."""
response = await client.post(
"/api/v1/steps",
json={
"title": "Test Step",
"step_type": "action",
"content": {
"instructions": "Run the diagnostic command",
"commands": [{"label": "Echo test", "command": "echo hello"}]
},
},
headers=auth_headers,
)
assert response.status_code == 201, f"Failed to create step: {response.text}"
return response.json()
async def test_step_feedback_thumbs_up(client: AsyncClient, auth_headers: dict, test_step: dict, test_session: dict):
"""Submit thumbs-up feedback for a step."""
response = await client.post(
f"/api/v1/steps/{test_step['id']}/feedback",
json={"session_id": test_session["id"], "was_helpful": True},
headers=auth_headers,
)
assert response.status_code == 201
data = response.json()
assert data["was_helpful"] is True
assert data["status"] == "created"
async def test_step_feedback_thumbs_down(client: AsyncClient, auth_headers: dict, test_step: dict, test_session: dict):
"""Submit thumbs-down feedback for a step."""
response = await client.post(
f"/api/v1/steps/{test_step['id']}/feedback",
json={"session_id": test_session["id"], "was_helpful": False},
headers=auth_headers,
)
assert response.status_code == 201
data = response.json()
assert data["was_helpful"] is False
assert data["status"] == "created"
async def test_step_feedback_toggle(client: AsyncClient, auth_headers: dict, test_step: dict, test_session: dict):
"""Submitting again for same step+session updates the rating."""
await client.post(
f"/api/v1/steps/{test_step['id']}/feedback",
json={"session_id": test_session["id"], "was_helpful": True},
headers=auth_headers,
)
response = await client.post(
f"/api/v1/steps/{test_step['id']}/feedback",
json={"session_id": test_session["id"], "was_helpful": False},
headers=auth_headers,
)
assert response.status_code == 201
data = response.json()
assert data["was_helpful"] is False
assert data["status"] == "updated"
async def test_step_feedback_not_found(client: AsyncClient, auth_headers: dict, test_session: dict):
"""Feedback on non-existent step returns 404."""
import uuid
fake_id = str(uuid.uuid4())
response = await client.post(
f"/api/v1/steps/{fake_id}/feedback",
json={"session_id": test_session["id"], "was_helpful": True},
headers=auth_headers,
)
assert response.status_code == 404
# --- /ratings Alias Route Tests ---
async def test_ratings_alias_post(client: AsyncClient, auth_headers: dict, test_step: dict):
"""POST /steps/{id}/ratings works as alias for /rate."""
response = await client.post(
f"/api/v1/steps/{test_step['id']}/ratings",
json={"rating": 4, "was_helpful": True},
headers=auth_headers,
)
assert response.status_code == 201
data = response.json()
assert data["rating"] == 4
async def test_ratings_alias_put(client: AsyncClient, auth_headers: dict, test_step: dict):
"""PUT /steps/{id}/ratings works as alias for /rate."""
# First create a rating
await client.post(
f"/api/v1/steps/{test_step['id']}/rate",
json={"rating": 3, "was_helpful": True},
headers=auth_headers,
)
# Update via alias
response = await client.put(
f"/api/v1/steps/{test_step['id']}/ratings",
json={"rating": 5},
headers=auth_headers,
)
assert response.status_code == 200
data = response.json()
assert data["rating"] == 5
async def test_ratings_alias_delete(client: AsyncClient, auth_headers: dict, test_step: dict):
"""DELETE /steps/{id}/ratings works as alias for /rate."""
# First create a rating
await client.post(
f"/api/v1/steps/{test_step['id']}/rate",
json={"rating": 4, "was_helpful": True},
headers=auth_headers,
)
# Delete via alias
response = await client.delete(
f"/api/v1/steps/{test_step['id']}/ratings",
headers=auth_headers,
)
assert response.status_code == 204

View File

@@ -0,0 +1,294 @@
# Analytics & User Feedback — Design Document
> **Date:** February 15, 2026
> **Status:** Approved
> **Audience:** Team admins + individual engineers (both equally)
---
## Goal
Add analytics dashboards and user feedback systems to ResolutionFlow so MSP managers can measure team productivity and flow effectiveness, engineers can track their own performance, and flow authors get actionable feedback to improve their troubleshooting trees.
## Architecture
Live queries against existing PostgreSQL tables (sessions, trees, step_library) with one new table (session_ratings). No materialized views or external analytics services — direct aggregation queries with proper indexes. Time-series data returned as daily-bucketed arrays for Recharts visualization on the frontend.
## Tech Stack Additions
- **Backend:** New endpoint modules (`analytics.py`, `ratings.py`), one Alembic migration
- **Frontend:** Recharts (charting), two new pages, one new modal, inline step feedback components
- **No new infrastructure** — runs on existing PostgreSQL + Railway deployment
---
## 1. Feedback System Design
### Step-Level Feedback: Thumbs Up / Thumbs Down
**When:** Inline during session navigation, always visible on each step.
**UX:**
- Small thumb-up and thumb-down icons displayed on each step in TreeNavigationPage and ProceduralNavigationPage
- Non-intrusive: muted icons that highlight on selection
- First-time tooltip: "Rate this step to help improve flows" (dismissible, shown once)
- After rating: selected thumb highlights (green for up, red for down), other thumb dims
- Tapping the same thumb again un-rates (toggle behavior)
**Data model:**
- Uses existing `step_ratings` table with `was_helpful` boolean
- One rating per user per step per session (unique constraint on step_id + user_id + session_id)
- Updates `step_library.helpful_yes` / `helpful_no` aggregate counts
**Endpoint:**
- `POST /steps/{step_id}/feedback` — body: `{ session_id, was_helpful: true|false }`
- `DELETE /steps/{step_id}/feedback/{session_id}` — un-rate
### Flow-Level Feedback: CSAT 1-5 + Optional Comment
**When:** After session completion, prompted after the SessionOutcomeModal.
**UX:**
- Modal with 1-5 star selector (or numbered buttons)
- Optional comment textarea (500 char max)
- "Skip" button to dismiss without rating
- Shown once per completed session
**Data model:**
- New `session_ratings` table:
- `id` UUID PK
- `session_id` FK unique (one rating per session)
- `user_id` FK
- `tree_id` FK (denormalized for aggregation)
- `account_id` FK (denormalized for team scoping)
- `rating` Integer 1-5 (CHECK constraint)
- `comment` String(500), nullable
- `created_at` DateTime(timezone=True)
**Endpoint:**
- `POST /sessions/{session_id}/rate` — body: `{ rating: 1-5, comment?: string }`
- `GET /trees/{tree_id}/ratings` — paginated list of ratings/comments for flow authors
---
## 2. Analytics Endpoints
All analytics endpoints accept `?period=7d|30d|90d` (default 30d) and return data scoped to the user's account.
### Team Analytics — `GET /analytics/team`
**Access:** team_admin or super_admin only.
**Response:**
```json
{
"summary": {
"total_sessions": 247,
"completed_sessions": 198,
"completion_rate": 0.801,
"avg_duration_minutes": 12.4,
"active_engineers": 8,
"outcome_breakdown": {
"resolved": 142,
"escalated": 31,
"workaround": 18,
"unresolved": 7
}
},
"time_series": [
{ "date": "2026-02-01", "sessions": 12, "resolved": 8, "escalated": 2, "workaround": 1, "unresolved": 1 },
...
],
"top_flows": [
{ "tree_id": "...", "name": "DNS Resolution", "sessions": 42, "completion_rate": 0.88, "avg_duration_minutes": 8.2, "avg_csat": 4.1 },
...
],
"top_engineers": [
{ "user_id": "...", "name": "Jane Smith", "sessions": 34, "completion_rate": 0.91, "avg_duration_minutes": 10.1 },
...
]
}
```
**Optional filter:** `?engineer_id=<uuid>` to scope to one engineer.
### Personal Analytics — `GET /analytics/me`
**Access:** Any authenticated user.
**Response:** Same shape as team analytics but scoped to the requesting user only. No engineer leaderboard — replaced with "my top flows" list.
### Flow Analytics — `GET /analytics/flows/{tree_id}`
**Access:** Anyone who can view the flow.
**Response:**
```json
{
"summary": {
"total_sessions": 42,
"completion_rate": 0.88,
"avg_duration_minutes": 8.2,
"avg_csat": 4.1,
"total_ratings": 28,
"outcome_breakdown": { ... }
},
"time_series": [
{ "date": "2026-02-01", "sessions": 3, "avg_duration_minutes": 7.5 },
...
],
"step_feedback": [
{ "node_id": "abc", "node_title": "Check DNS Settings", "helpful_yes": 18, "helpful_no": 2, "helpful_rate": 0.9 },
...
],
"recent_comments": [
{ "rating": 5, "comment": "Very helpful flow", "user_name": "John", "created_at": "..." },
...
]
}
```
---
## 3. Frontend Pages
### Team Analytics Page — `/analytics`
**Access:** team_admin+ (hidden from engineers/viewers in nav).
**Layout:**
- Page header: "Team Analytics" + period dropdown (7d / 30d / 90d)
- Row 1: Stat cards — Total Sessions, Completion Rate, Avg Duration, Active Engineers
- Row 2: Time-series chart (sessions per day, stacked by outcome) — Recharts AreaChart
- Row 3: Two columns:
- Left: Flow Leaderboard table (top flows by usage, with completion rate + avg duration + CSAT)
- Right: Engineer Leaderboard table (top engineers by session count, with success rate + avg duration)
### My Analytics Page — `/analytics/me`
**Access:** Any authenticated user.
**Layout:**
- Page header: "My Analytics" + period dropdown
- Row 1: Stat cards — My Sessions, My Completion Rate, My Avg Duration, My Outcome Split
- Row 2: Sessions-per-day line chart
- Row 3: Two columns:
- Left: My Top Flows table (most-used flows with personal stats)
- Right: Outcome distribution donut chart (Recharts PieChart)
### Flow Analytics Panel
**Location:** New tab or expandable section on tree detail/editor views.
**Layout:**
- Summary stat cards: Usage, Completion Rate, Avg Duration, CSAT
- Session trend mini-chart (sparkline or small area chart)
- Step feedback table: each step with helpful rate bar + thumbs count
- Recent CSAT comments list (latest 5-10)
### Navigation
- Sidebar: Add "Analytics" nav item with BarChart3 icon between "Sessions" and "Exports"
- Team admins see `/analytics` (team view) as default
- Engineers see `/analytics/me` as default
- Both can navigate between views if they have permission
---
## 4. Database Migration
**New table: `session_ratings`**
```sql
CREATE TABLE session_ratings (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
session_id UUID NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
tree_id UUID NOT NULL REFERENCES trees(id) ON DELETE CASCADE,
account_id UUID NOT NULL REFERENCES accounts(id) ON DELETE CASCADE,
rating INTEGER NOT NULL CHECK (rating >= 1 AND rating <= 5),
comment VARCHAR(500),
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
UNIQUE (session_id)
);
```
**New indexes for analytics queries:**
```sql
CREATE INDEX ix_session_ratings_tree_created ON session_ratings(tree_id, created_at);
CREATE INDEX ix_session_ratings_account_created ON session_ratings(account_id, created_at);
CREATE INDEX ix_sessions_account_completed ON sessions(account_id, completed_at);
CREATE INDEX ix_sessions_account_tree_completed ON sessions(account_id, tree_id, completed_at);
CREATE INDEX ix_step_ratings_step_helpful ON step_ratings(step_id, was_helpful);
```
**Modify `step_ratings` usage:**
- Existing `rating` (1-5) and `review_text` columns remain in DB but are no longer populated
- Only `was_helpful` boolean is used going forward
- Add `session_id` to unique constraint if not already present: `UNIQUE(step_id, user_id, session_id)`
---
## 5. Charting Library
**Recharts** (`recharts` npm package)
- React-native, composable components
- Supports: AreaChart (time-series), BarChart (comparisons), PieChart (outcome donut), LineChart (trends)
- Lightweight (~45KB gzipped)
- Dark theme compatible via custom colors matching our design tokens
**Chart color palette** (matching design system):
- Primary: `hsl(243, 75%, 59%)` (purple — matches `--primary`)
- Resolved: `#34d399` (emerald-400)
- Escalated: `#f87171` (red-400)
- Workaround: `#fbbf24` (yellow-400)
- Unresolved: `#94a3b8` (slate-400)
---
## 6. Step Feedback UX Detail
**Inline thumbs placement:**
- Positioned at the bottom of each step card, right-aligned
- Two icons: ThumbsUp and ThumbsDown from Lucide
- Default state: `text-muted-foreground` (subtle, not distracting)
- Hover: icon scales slightly, tooltip appears
- Selected up: `text-emerald-400` with subtle fill
- Selected down: `text-red-400` with subtle fill
- Toggle: clicking selected thumb un-selects it
**First-time hint:**
- On the first session where thumbs are available, show a subtle inline note below the first step: "New: Rate steps with thumbs to help improve flows"
- Store dismissal in localStorage
- Auto-dismisses after first thumb interaction
**CSAT Modal (post-completion):**
- Appears after SessionOutcomeModal closes
- Five numbered buttons (1-5) or star icons in a row
- Label: "How would you rate this flow?"
- Sublabel: "Your feedback helps flow authors improve"
- Optional textarea: "Any comments? (optional)"
- Buttons: "Submit" (primary) + "Skip" (text link)
- localStorage tracks which sessions have been rated to prevent re-prompting
---
## 7. Scope & Non-Goals
**In scope:**
- Team analytics dashboard with time-series charts
- Personal analytics dashboard
- Flow-level analytics panel
- Step thumbs up/down inline feedback
- Flow CSAT 1-5 + comment at session end
- Period filtering (7d/30d/90d)
**Not in scope (future):**
- Real-time streaming analytics
- Export analytics to CSV/PDF
- Custom date range picker (just preset periods for v1)
- Comparison mode (this period vs. last period)
- Automation adoption metrics
- Client/ticket correlation analytics
- Email digest/reports

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"version": "5.1.1",
"resolved": "https://registry.npmjs.org/reselect/-/reselect-5.1.1.tgz",
"integrity": "sha512-K/BG6eIky/SBpzfHZv/dd+9JBFiS4SWV7FIujVyJRux6e45+73RaUHXLmIR1f7WOMaQ0U1km6qwklRQxpJJY0w==",
"license": "MIT"
},
"node_modules/resolve": {
"version": "1.22.11",
"resolved": "https://registry.npmjs.org/resolve/-/resolve-1.22.11.tgz",
@@ -6575,6 +6911,12 @@
"node": ">=0.8"
}
},
"node_modules/tiny-invariant": {
"version": "1.3.3",
"resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.3.tgz",
"integrity": "sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg==",
"license": "MIT"
},
"node_modules/tinybench": {
"version": "2.9.0",
"resolved": "https://registry.npmjs.org/tinybench/-/tinybench-2.9.0.tgz",
@@ -6930,6 +7272,15 @@
"punycode": "^2.1.0"
}
},
"node_modules/use-sync-external-store": {
"version": "1.6.0",
"resolved": "https://registry.npmjs.org/use-sync-external-store/-/use-sync-external-store-1.6.0.tgz",
"integrity": "sha512-Pp6GSwGP/NrPIrxVFAIkOQeyw8lFenOHijQWkUTrDvrF4ALqylP2C/KCkeS9dpUM3KvYRQhna5vt7IL95+ZQ9w==",
"license": "MIT",
"peerDependencies": {
"react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
}
},
"node_modules/util-deprecate": {
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
@@ -6965,6 +7316,28 @@
"url": "https://opencollective.com/unified"
}
},
"node_modules/victory-vendor": {
"version": "37.3.6",
"resolved": "https://registry.npmjs.org/victory-vendor/-/victory-vendor-37.3.6.tgz",
"integrity": "sha512-SbPDPdDBYp+5MJHhBCAyI7wKM3d5ivekigc2Dk2s7pgbZ9wIgIBYGVw4zGHBml/qTFbexrofXW6Gu4noGxrOwQ==",
"license": "MIT AND ISC",
"dependencies": {
"@types/d3-array": "^3.0.3",
"@types/d3-ease": "^3.0.0",
"@types/d3-interpolate": "^3.0.1",
"@types/d3-scale": "^4.0.2",
"@types/d3-shape": "^3.1.0",
"@types/d3-time": "^3.0.0",
"@types/d3-timer": "^3.0.0",
"d3-array": "^3.1.6",
"d3-ease": "^3.0.1",
"d3-interpolate": "^3.0.1",
"d3-scale": "^4.0.2",
"d3-shape": "^3.1.0",
"d3-time": "^3.0.0",
"d3-timer": "^3.0.1"
}
},
"node_modules/vite": {
"version": "7.3.1",
"resolved": "https://registry.npmjs.org/vite/-/vite-7.3.1.tgz",

View File

@@ -32,6 +32,7 @@
"react-dom": "^19.2.0",
"react-markdown": "^10.1.0",
"react-router-dom": "^7.13.0",
"recharts": "^3.7.0",
"sonner": "^2.0.7",
"tailwind-merge": "^3.4.0",
"zundo": "^2.3.0",

View File

@@ -0,0 +1,36 @@
import apiClient from './client'
import type {
TeamAnalyticsResponse,
PersonalAnalyticsResponse,
FlowAnalyticsResponse,
AnalyticsPeriod,
} from '@/types'
const analyticsApi = {
async getTeamAnalytics(period: AnalyticsPeriod = '30d', engineerId?: string): Promise<TeamAnalyticsResponse> {
const params: Record<string, string> = { period }
if (engineerId) params.engineer_id = engineerId
const response = await apiClient.get<TeamAnalyticsResponse>('/analytics/team', { params })
return response.data
},
async getPersonalAnalytics(period: AnalyticsPeriod = '30d'): Promise<PersonalAnalyticsResponse> {
const response = await apiClient.get<PersonalAnalyticsResponse>('/analytics/me', { params: { period } })
return response.data
},
async getFlowAnalytics(treeId: string, period: AnalyticsPeriod = '30d'): Promise<FlowAnalyticsResponse> {
const response = await apiClient.get<FlowAnalyticsResponse>(`/analytics/flows/${treeId}`, { params: { period } })
return response.data
},
async rateSession(sessionId: string, rating: number, comment?: string): Promise<void> {
await apiClient.post(`/sessions/${sessionId}/rate`, { rating, comment })
},
async submitStepFeedback(stepId: string, sessionId: string, wasHelpful: boolean): Promise<void> {
await apiClient.post(`/steps/${stepId}/feedback`, { session_id: sessionId, was_helpful: wasHelpful })
},
}
export default analyticsApi

View File

@@ -12,3 +12,4 @@ export { default as accountsApi } from './accounts'
export { default as adminApi } from './admin'
export { treeMarkdownApi } from './treeMarkdown'
export { default as pinnedFlowsApi } from './pinnedFlows'
export { default as analyticsApi } from './analytics'

View File

@@ -0,0 +1,308 @@
import { useState, useEffect } from 'react'
import { Loader2, Star } from 'lucide-react'
import {
AreaChart,
Area,
XAxis,
YAxis,
CartesianGrid,
Tooltip,
ResponsiveContainer,
} from 'recharts'
import { analyticsApi } from '@/api'
import { cn } from '@/lib/utils'
import type { FlowAnalyticsResponse, AnalyticsPeriod } from '@/types'
const CHART_COLORS = {
resolved: '#34d399',
escalated: '#f87171',
workaround: '#fbbf24',
unresolved: '#94a3b8',
}
const PERIOD_OPTIONS: { value: AnalyticsPeriod; label: string }[] = [
{ value: '7d', label: 'Last 7 days' },
{ value: '30d', label: 'Last 30 days' },
{ value: '90d', label: 'Last 90 days' },
]
interface FlowAnalyticsPanelProps {
treeId: string
}
export function FlowAnalyticsPanel({ treeId }: FlowAnalyticsPanelProps) {
const [period, setPeriod] = useState<AnalyticsPeriod>('30d')
const [data, setData] = useState<FlowAnalyticsResponse | null>(null)
const [loading, setLoading] = useState(true)
const [error, setError] = useState(false)
useEffect(() => {
setLoading(true)
setError(false)
analyticsApi
.getFlowAnalytics(treeId, period)
.then(setData)
.catch(() => {
setError(true)
setData(null)
})
.finally(() => setLoading(false))
}, [treeId, period])
if (loading) {
return (
<div className="flex items-center justify-center py-12">
<Loader2 className="h-6 w-6 animate-spin text-muted-foreground" />
</div>
)
}
if (error || !data) {
return (
<div className="text-center py-12 text-muted-foreground">
No analytics data available for this flow.
</div>
)
}
const { summary, avg_csat, total_ratings, time_series, step_feedback, recent_comments } = data
return (
<div className="space-y-6">
{/* Period selector */}
<div className="flex items-center justify-between">
<h3 className="text-lg font-semibold text-foreground">Flow Analytics</h3>
<select
value={period}
onChange={(e) => setPeriod(e.target.value as AnalyticsPeriod)}
className="rounded-lg border border-border bg-card px-3 py-1.5 text-sm text-foreground focus:outline-none focus:ring-1 focus:ring-ring"
>
{PERIOD_OPTIONS.map((opt) => (
<option key={opt.value} value={opt.value}>
{opt.label}
</option>
))}
</select>
</div>
{/* Summary stat cards */}
<div className="grid grid-cols-2 gap-3 sm:grid-cols-4">
<StatCard label="Sessions" value={summary.total_sessions.toLocaleString()} />
<StatCard
label="Completion"
value={`${(summary.completion_rate * 100).toFixed(0)}%`}
/>
<StatCard
label="Median Time"
value={`${summary.median_duration_minutes} min`}
/>
<StatCard
label="CSAT"
value={avg_csat != null ? `${avg_csat.toFixed(1)}/5` : 'N/A'}
subtitle={total_ratings > 0 ? `${total_ratings} rating${total_ratings !== 1 ? 's' : ''}` : undefined}
/>
</div>
{/* Area chart - Sessions over time */}
{time_series.length > 0 && (
<div className="bg-card border border-border rounded-xl p-4">
<p className="text-sm font-semibold text-foreground mb-3">Sessions Over Time</p>
<ResponsiveContainer width="100%" height={180}>
<AreaChart data={time_series}>
<CartesianGrid
strokeDasharray="3 3"
stroke="hsl(var(--border))"
vertical={false}
/>
<XAxis
dataKey="date"
tick={{ fill: 'hsl(var(--muted-foreground))', fontSize: 11 }}
tickLine={false}
axisLine={{ stroke: 'hsl(var(--border))' }}
tickFormatter={(value) => {
const d = new Date(String(value))
return `${d.getMonth() + 1}/${d.getDate()}`
}}
/>
<YAxis
tick={{ fill: 'hsl(var(--muted-foreground))', fontSize: 11 }}
tickLine={false}
axisLine={false}
allowDecimals={false}
/>
<Tooltip
contentStyle={{
backgroundColor: 'hsl(var(--card))',
border: '1px solid hsl(var(--border))',
borderRadius: '8px',
color: 'hsl(var(--foreground))',
fontSize: '13px',
}}
labelFormatter={(value) => {
const d = new Date(String(value))
return d.toLocaleDateString(undefined, {
month: 'short',
day: 'numeric',
year: 'numeric',
})
}}
/>
<Area
type="monotone"
dataKey="resolved"
stackId="1"
stroke={CHART_COLORS.resolved}
fill={CHART_COLORS.resolved}
fillOpacity={0.3}
/>
<Area
type="monotone"
dataKey="escalated"
stackId="1"
stroke={CHART_COLORS.escalated}
fill={CHART_COLORS.escalated}
fillOpacity={0.3}
/>
<Area
type="monotone"
dataKey="workaround"
stackId="1"
stroke={CHART_COLORS.workaround}
fill={CHART_COLORS.workaround}
fillOpacity={0.3}
/>
<Area
type="monotone"
dataKey="unresolved"
stackId="1"
stroke={CHART_COLORS.unresolved}
fill={CHART_COLORS.unresolved}
fillOpacity={0.3}
/>
</AreaChart>
</ResponsiveContainer>
{/* Chart legend */}
<div className="flex items-center gap-4 mt-2 justify-center">
{Object.entries(CHART_COLORS).map(([key, color]) => (
<div key={key} className="flex items-center gap-1.5">
<div
className="h-2 w-2 rounded-full"
style={{ backgroundColor: color }}
/>
<span className="text-xs text-muted-foreground capitalize">
{key}
</span>
</div>
))}
</div>
</div>
)}
{/* Step Feedback Table with Dropoff Metrics */}
{step_feedback.length > 0 && (
<div className="bg-card border border-border rounded-xl p-4">
<p className="text-sm font-semibold text-foreground mb-3">Step Performance</p>
<div className="overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-border">
<th className="text-left py-2 pr-4 text-foreground font-medium">Step</th>
<th className="text-right py-2 pr-4 text-foreground font-medium">Visits</th>
<th className="text-right py-2 pr-4 text-foreground font-medium">Dropoffs</th>
<th className="text-right py-2 text-foreground font-medium">Dropoff Rate</th>
</tr>
</thead>
<tbody>
{step_feedback.map((step) => (
<tr
key={step.node_id}
className={cn(
'border-b border-border last:border-0',
step.dropoff_rate > 0.2 && 'bg-red-400/5'
)}
>
<td className="py-2 pr-4 text-muted-foreground truncate max-w-[200px]">
{step.node_title}
</td>
<td className="py-2 pr-4 text-right text-muted-foreground">
{step.visit_count}
</td>
<td className="py-2 pr-4 text-right text-muted-foreground">
{step.dropoff_count}
</td>
<td
className={cn(
'py-2 text-right font-medium',
step.dropoff_rate > 0.2 ? 'text-red-400' : 'text-muted-foreground'
)}
>
{(step.dropoff_rate * 100).toFixed(1)}%
</td>
</tr>
))}
</tbody>
</table>
</div>
</div>
)}
{/* Recent Comments (Anonymous) */}
{recent_comments.length > 0 && (
<div className="bg-card border border-border rounded-xl p-4">
<p className="text-sm font-semibold text-foreground mb-3">Recent Feedback</p>
<div className="space-y-3">
{recent_comments.map((item, i) => (
<div
key={i}
className="flex items-start gap-3 border-b border-border/50 pb-3 last:border-0 last:pb-0"
>
<div className="flex items-center gap-0.5 shrink-0 pt-0.5">
{[1, 2, 3, 4, 5].map((v) => (
<Star
key={v}
size={12}
className={cn(
v <= item.rating
? 'fill-yellow-400 text-yellow-400'
: 'fill-none text-muted-foreground'
)}
/>
))}
</div>
<div className="min-w-0">
{item.comment && (
<p className="text-sm text-foreground">{item.comment}</p>
)}
<p className="text-xs text-muted-foreground mt-0.5">
{new Date(item.created_at).toLocaleDateString()}
</p>
</div>
</div>
))}
</div>
</div>
)}
</div>
)
}
function StatCard({
label,
value,
subtitle,
}: {
label: string
value: string | number
subtitle?: string
}) {
return (
<div className="bg-card border border-border rounded-xl p-4">
<p className="text-xs text-muted-foreground">{label}</p>
<p className="text-xl font-bold text-foreground mt-1">{value}</p>
{subtitle && (
<p className="text-xs text-muted-foreground mt-0.5">{subtitle}</p>
)}
</div>
)
}

View File

@@ -1,6 +1,6 @@
import { useEffect, useState } from 'react'
import { useNavigate, useLocation } from 'react-router-dom'
import { LayoutGrid, Box, PenLine, Clock, FileText, Bookmark, Users, Settings, PanelLeftClose, PanelLeftOpen } from 'lucide-react'
import { LayoutGrid, Box, PenLine, Clock, FileText, Bookmark, BarChart3, Users, Settings, PanelLeftClose, PanelLeftOpen } from 'lucide-react'
import { cn } from '@/lib/utils'
import { useUserPreferencesStore } from '@/store/userPreferencesStore'
import { CategoryList } from '@/components/sidebar/CategoryList'
@@ -123,6 +123,7 @@ export function Sidebar() {
<NavItem href="/sessions" icon={Clock} label="Sessions" badge={activeSessionCount || undefined} collapsed />
<NavItem href="/shares" icon={FileText} label="Exports" collapsed />
<NavItem href="/step-library" icon={Bookmark} label="Step Library" collapsed />
<NavItem href="/analytics" icon={BarChart3} label="Analytics" collapsed />
</div>
</>
) : (
@@ -150,6 +151,7 @@ export function Sidebar() {
<NavItem href="/sessions" icon={Clock} label="Sessions" badge={activeSessionCount || undefined} />
<NavItem href="/shares" icon={FileText} label="Exports" />
<NavItem href="/step-library" icon={Bookmark} label="Step Library" badge="dot" />
<NavItem href="/analytics" icon={BarChart3} label="Analytics" />
</div>
<div className="border-b border-[hsl(var(--border-subtle))]" />

View File

@@ -0,0 +1,118 @@
import { useState } from 'react'
import { Star } from 'lucide-react'
import { Modal } from '@/components/common/Modal'
import { analyticsApi } from '@/api'
import { cn } from '@/lib/utils'
interface CSATModalProps {
isOpen: boolean
onClose: () => void
sessionId: string
}
const RATED_SESSIONS_KEY = 'rf-rated-sessions'
function getRatedSessions(): string[] {
try {
return JSON.parse(localStorage.getItem(RATED_SESSIONS_KEY) || '[]')
} catch {
return []
}
}
function markSessionRated(sessionId: string) {
const rated = getRatedSessions()
rated.push(sessionId)
localStorage.setItem(RATED_SESSIONS_KEY, JSON.stringify(rated.slice(-100)))
}
export function hasBeenRated(sessionId: string): boolean {
return getRatedSessions().includes(sessionId)
}
export function CSATModal({ isOpen, onClose, sessionId }: CSATModalProps) {
const [rating, setRating] = useState(0)
const [hoveredRating, setHoveredRating] = useState(0)
const [comment, setComment] = useState('')
const [submitting, setSubmitting] = useState(false)
const handleSubmit = async () => {
if (rating === 0 || submitting) return
setSubmitting(true)
try {
await analyticsApi.rateSession(sessionId, rating, comment || undefined)
markSessionRated(sessionId)
onClose()
} catch {
// Silently fail — still close
onClose()
} finally {
setSubmitting(false)
}
}
const handleSkip = () => {
markSessionRated(sessionId)
onClose()
}
return (
<Modal isOpen={isOpen} onClose={handleSkip} title="How was this flow?" size="sm">
<div className="space-y-4">
<p className="text-sm text-muted-foreground">
Your feedback helps flow authors improve troubleshooting paths.
</p>
{/* Star rating */}
<div className="flex items-center justify-center gap-1">
{[1, 2, 3, 4, 5].map((value) => (
<button
key={value}
onClick={() => setRating(value)}
onMouseEnter={() => setHoveredRating(value)}
onMouseLeave={() => setHoveredRating(0)}
className="p-1 transition-colors"
>
<Star
size={28}
className={cn(
'transition-colors',
(hoveredRating || rating) >= value
? 'fill-yellow-400 text-yellow-400'
: 'fill-none text-muted-foreground'
)}
/>
</button>
))}
</div>
{/* Comment */}
<textarea
value={comment}
onChange={(e) => setComment(e.target.value)}
placeholder="Any comments? (optional)"
maxLength={500}
rows={3}
className="w-full rounded-lg border border-border bg-card px-3 py-2 text-sm text-foreground placeholder:text-muted-foreground focus:border-primary focus:outline-none focus:ring-1 focus:ring-primary/20 resize-none"
/>
{/* Actions */}
<div className="flex items-center justify-between">
<button
onClick={handleSkip}
className="text-sm text-muted-foreground hover:text-foreground transition-colors"
>
Skip
</button>
<button
onClick={handleSubmit}
disabled={rating === 0 || submitting}
className="rounded-lg bg-gradient-brand px-4 py-2 text-sm font-semibold text-white shadow-lg shadow-primary/20 hover:opacity-90 transition-opacity disabled:opacity-50"
>
{submitting ? 'Submitting...' : 'Submit'}
</button>
</div>
</div>
</Modal>
)
}

View File

@@ -0,0 +1,77 @@
import { useState, useEffect } from 'react'
import { ThumbsUp, ThumbsDown } from 'lucide-react'
import { analyticsApi } from '@/api'
import { cn } from '@/lib/utils'
interface StepFeedbackProps {
stepId: string
sessionId: string
}
const HINT_KEY = 'rf-step-feedback-hint-dismissed'
export function StepFeedback({ stepId, sessionId }: StepFeedbackProps) {
const [feedback, setFeedback] = useState<boolean | null>(null)
const [submitting, setSubmitting] = useState(false)
const [showHint, setShowHint] = useState(false)
useEffect(() => {
if (!localStorage.getItem(HINT_KEY)) {
setShowHint(true)
}
}, [])
const handleFeedback = async (wasHelpful: boolean) => {
if (submitting) return
setSubmitting(true)
try {
const newValue = feedback === wasHelpful ? null : wasHelpful
if (newValue !== null) {
await analyticsApi.submitStepFeedback(stepId, sessionId, newValue)
}
setFeedback(newValue)
if (showHint) {
setShowHint(false)
localStorage.setItem(HINT_KEY, '1')
}
} catch {
// Silently fail — feedback is non-critical
} finally {
setSubmitting(false)
}
}
return (
<div className="flex items-center gap-2">
{showHint && (
<span className="text-xs text-muted-foreground">Was this step helpful?</span>
)}
<button
onClick={() => handleFeedback(true)}
disabled={submitting}
className={cn(
'rounded-md p-1.5 transition-colors',
feedback === true
? 'text-emerald-400 bg-emerald-400/10'
: 'text-muted-foreground hover:text-emerald-400 hover:bg-accent'
)}
title="Helpful"
>
<ThumbsUp size={14} />
</button>
<button
onClick={() => handleFeedback(false)}
disabled={submitting}
className={cn(
'rounded-md p-1.5 transition-colors',
feedback === false
? 'text-red-400 bg-red-400/10'
: 'text-muted-foreground hover:text-red-400 hover:bg-accent'
)}
title="Not helpful"
>
<ThumbsDown size={14} />
</button>
</div>
)
}

View File

@@ -0,0 +1,348 @@
import { useState, useEffect } from 'react'
import { Link } from 'react-router-dom'
import { BarChart3, Loader2, Target, Clock, TrendingUp, CheckCircle } from 'lucide-react'
import {
AreaChart,
Area,
XAxis,
YAxis,
CartesianGrid,
Tooltip,
ResponsiveContainer,
} from 'recharts'
import { analyticsApi } from '@/api'
import { usePermissions } from '@/hooks/usePermissions'
import type { PersonalAnalyticsResponse, AnalyticsPeriod } from '@/types'
const OUTCOME_COLORS: Record<string, string> = {
resolved: '#34d399',
escalated: '#f87171',
workaround: '#fbbf24',
unresolved: '#94a3b8',
}
const PERIOD_OPTIONS: { value: AnalyticsPeriod; label: string }[] = [
{ value: '7d', label: 'Last 7 days' },
{ value: '30d', label: 'Last 30 days' },
{ value: '90d', label: 'Last 90 days' },
]
export default function MyAnalyticsPage() {
const { isAccountOwner, isSuperAdmin } = usePermissions()
const [period, setPeriod] = useState<AnalyticsPeriod>('30d')
const [data, setData] = useState<PersonalAnalyticsResponse | null>(null)
const [loading, setLoading] = useState(true)
useEffect(() => {
setLoading(true)
analyticsApi
.getPersonalAnalytics(period)
.then(setData)
.catch(console.error)
.finally(() => setLoading(false))
}, [period])
if (loading) {
return (
<div className="flex items-center justify-center min-h-[60vh]">
<Loader2 size={32} className="animate-spin text-muted-foreground" />
</div>
)
}
if (!data) {
return (
<div className="flex items-center justify-center min-h-[60vh]">
<p className="text-muted-foreground">Failed to load analytics data.</p>
</div>
)
}
const { summary, time_series, top_flows } = data
const outcomeBreakdown = summary.outcome_breakdown
return (
<div className="p-6 space-y-6 max-w-7xl mx-auto">
{/* Header */}
<div className="flex items-center justify-between">
<div className="flex items-center gap-3">
<span title="My Analytics">
<BarChart3 size={24} className="text-foreground" />
</span>
<h1 className="text-2xl font-bold text-foreground">My Analytics</h1>
</div>
<div className="flex items-center gap-3">
{(isAccountOwner || isSuperAdmin) && (
<Link
to="/analytics"
className="text-sm text-muted-foreground hover:text-foreground transition-colors"
>
Team Analytics
</Link>
)}
<select
value={period}
onChange={(e) => setPeriod(e.target.value as AnalyticsPeriod)}
className="rounded-lg border border-border bg-card px-3 py-1.5 text-sm text-foreground focus:outline-none focus:ring-1 focus:ring-ring"
>
{PERIOD_OPTIONS.map((opt) => (
<option key={opt.value} value={opt.value}>
{opt.label}
</option>
))}
</select>
</div>
</div>
{/* Stat Cards */}
<div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-4 gap-4">
<StatCard
icon={TrendingUp}
label="My Sessions"
value={summary.total_sessions.toLocaleString()}
/>
<StatCard
icon={Target}
label="My Completion Rate"
value={`${(summary.completion_rate * 100).toFixed(1)}%`}
/>
<StatCard
icon={Clock}
label="Median Duration"
value={`${summary.median_duration_minutes} min`}
/>
<StatCard
icon={CheckCircle}
label="Outcomes Resolved"
value={outcomeBreakdown.resolved.toLocaleString()}
/>
</div>
{/* Area Chart — Sessions over Time */}
<div className="bg-card border border-border rounded-xl p-6">
<h2 className="text-sm font-semibold text-foreground mb-4">
My Sessions Over Time
</h2>
<ResponsiveContainer width="100%" height={300}>
<AreaChart data={time_series}>
<CartesianGrid
strokeDasharray="3 3"
stroke="hsl(var(--border))"
vertical={false}
/>
<XAxis
dataKey="date"
tick={{ fill: 'hsl(var(--muted-foreground))', fontSize: 12 }}
tickLine={false}
axisLine={{ stroke: 'hsl(var(--border))' }}
tickFormatter={(value: string) => {
const d = new Date(value)
return `${d.getMonth() + 1}/${d.getDate()}`
}}
/>
<YAxis
tick={{ fill: 'hsl(var(--muted-foreground))', fontSize: 12 }}
tickLine={false}
axisLine={false}
allowDecimals={false}
/>
<Tooltip
contentStyle={{
backgroundColor: 'hsl(var(--card))',
border: '1px solid hsl(var(--border))',
borderRadius: '8px',
color: 'hsl(var(--foreground))',
fontSize: '13px',
}}
labelFormatter={(value) => {
const d = new Date(String(value))
return d.toLocaleDateString(undefined, {
month: 'short',
day: 'numeric',
year: 'numeric',
})
}}
/>
<Area
type="monotone"
dataKey="resolved"
stackId="1"
stroke={OUTCOME_COLORS.resolved}
fill={OUTCOME_COLORS.resolved}
fillOpacity={0.3}
/>
<Area
type="monotone"
dataKey="escalated"
stackId="1"
stroke={OUTCOME_COLORS.escalated}
fill={OUTCOME_COLORS.escalated}
fillOpacity={0.3}
/>
<Area
type="monotone"
dataKey="workaround"
stackId="1"
stroke={OUTCOME_COLORS.workaround}
fill={OUTCOME_COLORS.workaround}
fillOpacity={0.3}
/>
<Area
type="monotone"
dataKey="unresolved"
stackId="1"
stroke={OUTCOME_COLORS.unresolved}
fill={OUTCOME_COLORS.unresolved}
fillOpacity={0.3}
/>
</AreaChart>
</ResponsiveContainer>
{/* Chart legend */}
<div className="flex items-center gap-6 mt-3 justify-center">
{Object.entries(OUTCOME_COLORS).map(([key, color]) => (
<div key={key} className="flex items-center gap-1.5">
<div
className="h-2.5 w-2.5 rounded-full"
style={{ backgroundColor: color }}
/>
<span className="text-xs text-muted-foreground capitalize">
{key}
</span>
</div>
))}
</div>
</div>
{/* Two-Column: Top Flows & Outcome Distribution */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
{/* My Top Flows */}
<div className="bg-card border border-border rounded-xl p-6">
<h2 className="text-sm font-semibold text-foreground mb-4">
My Top Flows
</h2>
{top_flows.length === 0 ? (
<p className="text-sm text-muted-foreground">No flow data for this period.</p>
) : (
<div className="overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-border">
<th className="text-left py-2 text-foreground font-medium">
Name
</th>
<th className="text-right py-2 text-foreground font-medium">
Sessions
</th>
<th className="text-right py-2 text-foreground font-medium">
Completion
</th>
<th className="text-right py-2 text-foreground font-medium">
Median
</th>
</tr>
</thead>
<tbody>
{top_flows.map((flow) => (
<tr
key={flow.tree_id}
className="border-b border-border last:border-0"
>
<td className="py-2 text-muted-foreground truncate max-w-[200px]">
{flow.name}
</td>
<td className="py-2 text-right text-muted-foreground">
{flow.sessions}
</td>
<td className="py-2 text-right text-muted-foreground">
{(flow.completion_rate * 100).toFixed(1)}%
</td>
<td className="py-2 text-right text-muted-foreground">
{flow.median_duration_minutes} min
</td>
</tr>
))}
</tbody>
</table>
</div>
)}
</div>
{/* Outcome Distribution */}
<div className="bg-card border border-border rounded-xl p-6">
<h2 className="text-sm font-semibold text-foreground mb-4">
Outcome Distribution
</h2>
{summary.total_sessions === 0 ? (
<p className="text-sm text-muted-foreground">No session data for this period.</p>
) : (
<div className="space-y-3">
{(
Object.entries(outcomeBreakdown) as [string, number][]
).map(([outcome, count]) => {
const total = Object.values(outcomeBreakdown).reduce(
(sum, v) => sum + v,
0
)
const pct = total > 0 ? (count / total) * 100 : 0
return (
<div key={outcome}>
<div className="flex items-center justify-between mb-1">
<div className="flex items-center gap-2">
<div
className="h-2.5 w-2.5 rounded-full flex-shrink-0"
style={{
backgroundColor:
OUTCOME_COLORS[outcome] ?? '#94a3b8',
}}
/>
<span className="text-sm text-muted-foreground capitalize">
{outcome}
</span>
</div>
<span className="text-sm text-foreground font-medium">
{count} ({pct.toFixed(1)}%)
</span>
</div>
<div className="h-2 rounded-full bg-border overflow-hidden">
<div
className="h-full rounded-full transition-all duration-500"
style={{
width: `${pct}%`,
backgroundColor:
OUTCOME_COLORS[outcome] ?? '#94a3b8',
}}
/>
</div>
</div>
)
})}
</div>
)}
</div>
</div>
</div>
)
}
function StatCard({
icon: Icon,
label,
value,
}: {
icon: React.ComponentType<{ size?: number; className?: string }>
label: string
value: string
}) {
return (
<div className="bg-card border border-border rounded-xl p-6">
<div className="flex items-center gap-2 mb-2">
<Icon size={16} className="text-muted-foreground" />
<span className="text-sm text-muted-foreground">{label}</span>
</div>
<p className="text-3xl font-bold text-foreground">{value}</p>
</div>
)
}

View File

@@ -11,6 +11,8 @@ import { ProgressBar } from '@/components/procedural/ProgressBar'
import { CompletionSummary } from '@/components/procedural/CompletionSummary'
import { cn } from '@/lib/utils'
import { toast } from '@/lib/toast'
import { StepFeedback } from '@/components/session/StepFeedback'
import { CSATModal, hasBeenRated } from '@/components/session/CSATModal'
interface StepState {
notes: string
@@ -35,6 +37,7 @@ export function ProceduralNavigationPage() {
const [completedAt, setCompletedAt] = useState<string>('')
const [sidebarOpen, setSidebarOpen] = useState(true)
const [paramsOpen, setParamsOpen] = useState(false)
const [showCsatModal, setShowCsatModal] = useState(false)
const [elapsedMinutes, setElapsedMinutes] = useState(0)
const timerRef = useRef<ReturnType<typeof setInterval> | null>(null)
@@ -244,6 +247,9 @@ export function ProceduralNavigationPage() {
})
setCompletedAt(completedTime)
setIsComplete(true)
if (!hasBeenRated(session.id)) {
setShowCsatModal(true)
}
} else {
setCurrentStepIndex(currentStepIndex + 1)
}
@@ -274,6 +280,10 @@ export function ProceduralNavigationPage() {
})
}
const handleCsatClose = () => {
setShowCsatModal(false)
}
// Loading state
if (isLoading) {
return (
@@ -406,9 +416,23 @@ export function ProceduralNavigationPage() {
isLast={currentStepIndex === procedureSteps.length - 1}
/>
)}
{session && currentStep && (
<div className="mt-3 flex justify-end">
<StepFeedback stepId={currentStep.id} sessionId={session.id} />
</div>
)}
</div>
</div>
{/* CSAT Modal */}
{session && (
<CSATModal
isOpen={showCsatModal}
onClose={handleCsatClose}
sessionId={session.id}
/>
)}
{/* Parameters popover */}
{paramsOpen && (
<div className="fixed inset-0 z-50 flex items-center justify-center">

View File

@@ -0,0 +1,366 @@
import { useState, useEffect } from 'react'
import { Link } from 'react-router-dom'
import { BarChart3, Loader2, Users, Target, Clock, TrendingUp, ShieldX } from 'lucide-react'
import {
AreaChart,
Area,
XAxis,
YAxis,
CartesianGrid,
Tooltip,
ResponsiveContainer,
} from 'recharts'
import { analyticsApi } from '@/api'
import { usePermissions } from '@/hooks/usePermissions'
import type { TeamAnalyticsResponse, AnalyticsPeriod } from '@/types'
const CHART_COLORS = {
resolved: '#34d399',
escalated: '#f87171',
workaround: '#fbbf24',
unresolved: '#94a3b8',
}
const PERIOD_OPTIONS: { value: AnalyticsPeriod; label: string }[] = [
{ value: '7d', label: 'Last 7 days' },
{ value: '30d', label: 'Last 30 days' },
{ value: '90d', label: 'Last 90 days' },
]
export default function TeamAnalyticsPage() {
const { isAccountOwner, isSuperAdmin } = usePermissions()
const [period, setPeriod] = useState<AnalyticsPeriod>('30d')
const [data, setData] = useState<TeamAnalyticsResponse | null>(null)
const [loading, setLoading] = useState(true)
useEffect(() => {
if (!isAccountOwner && !isSuperAdmin) return
setLoading(true)
analyticsApi
.getTeamAnalytics(period)
.then(setData)
.catch(console.error)
.finally(() => setLoading(false))
}, [period, isAccountOwner, isSuperAdmin])
// Permission guard
if (!isAccountOwner && !isSuperAdmin) {
return (
<div className="flex flex-col items-center justify-center min-h-[60vh] gap-4 p-6">
<ShieldX size={48} className="text-muted-foreground" />
<h2 className="text-xl font-semibold text-foreground">Access Denied</h2>
<p className="text-muted-foreground text-center max-w-md">
Team Analytics is only available to account owners and administrators.
You can view your personal stats instead.
</p>
<Link
to="/analytics/me"
className="mt-2 inline-flex items-center gap-2 rounded-lg bg-white text-black px-4 py-2 text-sm font-medium hover:bg-white/90 transition-colors"
>
<TrendingUp size={16} />
View My Stats
</Link>
</div>
)
}
if (loading) {
return (
<div className="flex items-center justify-center min-h-[60vh]">
<Loader2 size={32} className="animate-spin text-muted-foreground" />
</div>
)
}
if (!data) {
return (
<div className="flex items-center justify-center min-h-[60vh]">
<p className="text-muted-foreground">Failed to load analytics data.</p>
</div>
)
}
const { summary, time_series, top_flows, top_engineers } = data
return (
<div className="p-6 space-y-6 max-w-7xl mx-auto">
{/* Header */}
<div className="flex items-center justify-between">
<div className="flex items-center gap-3">
<span title="Team Analytics">
<BarChart3 size={24} className="text-foreground" />
</span>
<h1 className="text-2xl font-bold text-foreground">Team Analytics</h1>
</div>
<div className="flex items-center gap-3">
<Link
to="/analytics/me"
className="text-sm text-muted-foreground hover:text-foreground transition-colors"
>
My Stats
</Link>
<select
value={period}
onChange={(e) => setPeriod(e.target.value as AnalyticsPeriod)}
className="rounded-lg border border-border bg-card px-3 py-1.5 text-sm text-foreground focus:outline-none focus:ring-1 focus:ring-ring"
>
{PERIOD_OPTIONS.map((opt) => (
<option key={opt.value} value={opt.value}>
{opt.label}
</option>
))}
</select>
</div>
</div>
{/* Stat Cards */}
<div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-4 gap-4">
<StatCard
icon={TrendingUp}
label="Total Sessions"
value={summary.total_sessions.toLocaleString()}
/>
<StatCard
icon={Target}
label="Completion Rate"
value={`${(summary.completion_rate * 100).toFixed(1)}%`}
/>
<StatCard
icon={Clock}
label="Median Duration"
value={`${summary.median_duration_minutes} min`}
/>
<StatCard
icon={Users}
label="Active Engineers"
value={summary.active_engineers.toLocaleString()}
/>
</div>
{/* Area Chart — Sessions over Time */}
<div className="bg-card border border-border rounded-xl p-6">
<h2 className="text-sm font-semibold text-foreground mb-4">
Sessions Over Time
</h2>
<ResponsiveContainer width="100%" height={300}>
<AreaChart data={time_series}>
<CartesianGrid
strokeDasharray="3 3"
stroke="hsl(var(--border))"
vertical={false}
/>
<XAxis
dataKey="date"
tick={{ fill: 'hsl(var(--muted-foreground))', fontSize: 12 }}
tickLine={false}
axisLine={{ stroke: 'hsl(var(--border))' }}
tickFormatter={(value: string) => {
const d = new Date(value)
return `${d.getMonth() + 1}/${d.getDate()}`
}}
/>
<YAxis
tick={{ fill: 'hsl(var(--muted-foreground))', fontSize: 12 }}
tickLine={false}
axisLine={false}
allowDecimals={false}
/>
<Tooltip
contentStyle={{
backgroundColor: 'hsl(var(--card))',
border: '1px solid hsl(var(--border))',
borderRadius: '8px',
color: 'hsl(var(--foreground))',
fontSize: '13px',
}}
labelFormatter={(value) => {
const d = new Date(String(value))
return d.toLocaleDateString(undefined, {
month: 'short',
day: 'numeric',
year: 'numeric',
})
}}
/>
<Area
type="monotone"
dataKey="resolved"
stackId="1"
stroke={CHART_COLORS.resolved}
fill={CHART_COLORS.resolved}
fillOpacity={0.3}
/>
<Area
type="monotone"
dataKey="escalated"
stackId="1"
stroke={CHART_COLORS.escalated}
fill={CHART_COLORS.escalated}
fillOpacity={0.3}
/>
<Area
type="monotone"
dataKey="workaround"
stackId="1"
stroke={CHART_COLORS.workaround}
fill={CHART_COLORS.workaround}
fillOpacity={0.3}
/>
<Area
type="monotone"
dataKey="unresolved"
stackId="1"
stroke={CHART_COLORS.unresolved}
fill={CHART_COLORS.unresolved}
fillOpacity={0.3}
/>
</AreaChart>
</ResponsiveContainer>
{/* Chart legend */}
<div className="flex items-center gap-6 mt-3 justify-center">
{Object.entries(CHART_COLORS).map(([key, color]) => (
<div key={key} className="flex items-center gap-1.5">
<div
className="h-2.5 w-2.5 rounded-full"
style={{ backgroundColor: color }}
/>
<span className="text-xs text-muted-foreground capitalize">
{key}
</span>
</div>
))}
</div>
</div>
{/* Two-Column: Top Flows & Top Engineers */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
{/* Top Flows */}
<div className="bg-card border border-border rounded-xl p-6">
<h2 className="text-sm font-semibold text-foreground mb-4">
Top Flows
</h2>
{top_flows.length === 0 ? (
<p className="text-sm text-muted-foreground">No flow data for this period.</p>
) : (
<div className="overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-border">
<th className="text-left py-2 text-foreground font-medium">
Name
</th>
<th className="text-right py-2 text-foreground font-medium">
Sessions
</th>
<th className="text-right py-2 text-foreground font-medium">
Completion
</th>
<th className="text-right py-2 text-foreground font-medium">
Median
</th>
</tr>
</thead>
<tbody>
{top_flows.map((flow) => (
<tr
key={flow.tree_id}
className="border-b border-border last:border-0"
>
<td className="py-2 text-muted-foreground truncate max-w-[200px]">
{flow.name}
</td>
<td className="py-2 text-right text-muted-foreground">
{flow.sessions}
</td>
<td className="py-2 text-right text-muted-foreground">
{(flow.completion_rate * 100).toFixed(1)}%
</td>
<td className="py-2 text-right text-muted-foreground">
{flow.median_duration_minutes} min
</td>
</tr>
))}
</tbody>
</table>
</div>
)}
</div>
{/* Top Engineers */}
<div className="bg-card border border-border rounded-xl p-6">
<h2 className="text-sm font-semibold text-foreground mb-4">
Top Engineers
</h2>
{top_engineers.length === 0 ? (
<p className="text-sm text-muted-foreground">No engineer data for this period.</p>
) : (
<div className="overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-border">
<th className="text-left py-2 text-foreground font-medium">
Name
</th>
<th className="text-right py-2 text-foreground font-medium">
Sessions
</th>
<th className="text-right py-2 text-foreground font-medium">
Completion
</th>
<th className="text-right py-2 text-foreground font-medium">
Median
</th>
</tr>
</thead>
<tbody>
{top_engineers.map((eng) => (
<tr
key={eng.user_id}
className="border-b border-border last:border-0"
>
<td className="py-2 text-muted-foreground truncate max-w-[200px]">
{eng.name}
</td>
<td className="py-2 text-right text-muted-foreground">
{eng.sessions}
</td>
<td className="py-2 text-right text-muted-foreground">
{(eng.completion_rate * 100).toFixed(1)}%
</td>
<td className="py-2 text-right text-muted-foreground">
{eng.median_duration_minutes} min
</td>
</tr>
))}
</tbody>
</table>
</div>
)}
</div>
</div>
</div>
)
}
function StatCard({
icon: Icon,
label,
value,
}: {
icon: React.ComponentType<{ size?: number; className?: string }>
label: string
value: string
}) {
return (
<div className="bg-card border border-border rounded-xl p-6">
<div className="flex items-center gap-2 mb-2">
<Icon size={16} className="text-muted-foreground" />
<span className="text-sm text-muted-foreground">{label}</span>
</div>
<p className="text-3xl font-bold text-foreground">{value}</p>
</div>
)
}

View File

@@ -1,7 +1,7 @@
import { useEffect, useState, useCallback } from 'react'
import { useParams, useNavigate, useBlocker } from 'react-router-dom'
import { useStore } from 'zustand'
import { Undo2, Redo2, Save, CheckCircle2, Monitor, FileText, Code2, LayoutList } from 'lucide-react'
import { Undo2, Redo2, Save, CheckCircle2, Monitor, FileText, Code2, LayoutList, BarChart3 } from 'lucide-react'
import { getMonacoEditor } from '@/components/tree-editor/code-mode'
import { treesApi } from '@/api/trees'
import { treeMarkdownApi } from '@/api/treeMarkdown'
@@ -13,6 +13,7 @@ import { useKeyboardShortcuts } from '@/hooks/useKeyboardShortcuts'
import { usePermissions } from '@/hooks/usePermissions'
import { cn, safeGetItem } from '@/lib/utils'
import { toast } from '@/lib/toast'
import { FlowAnalyticsPanel } from '@/components/analytics/FlowAnalyticsPanel'
export function TreeEditorPage() {
const { id } = useParams<{ id: string }>()
@@ -46,6 +47,7 @@ export function TreeEditorPage() {
const [showDraftPrompt, setShowDraftPrompt] = useState(false)
const [treeStatus, setTreeStatus] = useState<TreeStatus>('draft')
const [showAnalytics, setShowAnalytics] = useState(false)
// Mobile detection
const [isMobile, setIsMobile] = useState(false)
@@ -538,6 +540,23 @@ export function TreeEditorPage() {
<div className="mx-2 h-6 w-px bg-border" />
{/* Analytics toggle (only for existing trees) */}
{isEditMode && (
<button
onClick={() => setShowAnalytics(!showAnalytics)}
title="Toggle flow analytics panel"
className={cn(
'flex items-center gap-2 rounded-md border border-border px-3 py-2 text-sm font-medium transition-colors',
showAnalytics
? 'bg-accent text-foreground'
: 'bg-card text-muted-foreground hover:bg-accent hover:text-foreground'
)}
>
<BarChart3 className="h-4 w-4" />
Analytics
</button>
)}
{/* Validate */}
<button
onClick={handleManualValidate}
@@ -594,6 +613,13 @@ export function TreeEditorPage() {
{/* Main Editor */}
<TreeEditorLayout isMobile={isMobile} />
{/* Flow Analytics Panel (collapsible) */}
{showAnalytics && id && (
<div className="border-t border-border p-6 overflow-y-auto max-h-[50vh]">
<FlowAnalyticsPanel treeId={id} />
</div>
)}
</div>
)
}

View File

@@ -14,6 +14,8 @@ import { Plus, CheckCircle, ArrowRight, Clock, Terminal, Clipboard, Check, Copy,
import { toast } from '@/lib/toast'
import { Modal } from '@/components/common/Modal'
import { ShareSessionModal } from '@/components/session/ShareSessionModal'
import { CSATModal, hasBeenRated } from '@/components/session/CSATModal'
import { StepFeedback } from '@/components/session/StepFeedback'
import { buildSessionShareUrl, getLatestActiveShareForSession } from '@/lib/sessionShare'
interface LocationState {
@@ -52,6 +54,7 @@ export function TreeNavigationPage() {
const [isCopyingForTicket, setIsCopyingForTicket] = useState(false)
const [showSharePopover, setShowSharePopover] = useState(false)
const [showShareModal, setShowShareModal] = useState(false)
const [showCsatModal, setShowCsatModal] = useState(false)
const [copiedShareLink, setCopiedShareLink] = useState(false)
const [isCopyingShareLink, setIsCopyingShareLink] = useState(false)
const sharePopoverRef = useRef<HTMLDivElement>(null)
@@ -195,6 +198,13 @@ export function TreeNavigationPage() {
setCompletionSource('standard')
}
const handleCsatClose = () => {
setShowCsatModal(false)
if (session) {
navigate(`/sessions/${session.id}`)
}
}
// Custom step flow (creation, post-step actions, continuation, branching, forking)
const customStepFlow = useCustomStepFlow({
tree,
@@ -450,6 +460,8 @@ export function TreeNavigationPage() {
setPendingCompletionDecision(null)
if (completionSource === 'custom' && customStepFlow.customSteps.length > 0) {
customStepFlow.setShowForkModal(true)
} else if (!hasBeenRated(session.id)) {
setShowCsatModal(true)
} else {
navigate(`/sessions/${session.id}`)
}
@@ -1089,6 +1101,13 @@ export function TreeNavigationPage() {
</>
)}
{/* Step Feedback */}
{session && (currentNode || currentCustomStep) && (
<div className="mt-3 flex justify-end border-t border-border pt-3">
<StepFeedback stepId={currentCustomStep?.id || currentNodeId} sessionId={session.id} />
</div>
)}
{/* Notes */}
<div className="mt-6 border-t border-border pt-4">
<label className="block text-sm font-medium text-foreground">
@@ -1180,6 +1199,14 @@ export function TreeNavigationPage() {
isSubmitting={isCompleting}
/>
{session && (
<CSATModal
isOpen={showCsatModal}
onClose={handleCsatClose}
sessionId={session.id}
/>
)}
{/* Keyboard Shortcuts Modal */}
<Modal
isOpen={shortcutsModalOpen}

View File

@@ -27,6 +27,8 @@ const ProceduralNavigationPage = lazy(() => import('@/pages/ProceduralNavigation
const SessionHistoryPage = lazy(() => import('@/pages/SessionHistoryPage'))
const SessionDetailPage = lazy(() => import('@/pages/SessionDetailPage'))
const MySharesPage = lazy(() => import('@/pages/MySharesPage'))
const TeamAnalyticsPage = lazy(() => import('@/pages/TeamAnalyticsPage'))
const MyAnalyticsPage = lazy(() => import('@/pages/MyAnalyticsPage'))
const AccountSettingsPage = lazy(() => import('@/pages/AccountSettingsPage'))
// Admin pages
const AdminLayout = lazy(() => import('@/components/admin/AdminLayout'))
@@ -198,6 +200,22 @@ export const router = createBrowserRouter([
</Suspense>
),
},
{
path: 'analytics',
element: (
<Suspense fallback={<PageLoader />}>
<TeamAnalyticsPage />
</Suspense>
),
},
{
path: 'analytics/me',
element: (
<Suspense fallback={<PageLoader />}>
<MyAnalyticsPage />
</Suspense>
),
},
// Admin routes
{
path: 'admin',

View File

@@ -0,0 +1,82 @@
export interface OutcomeBreakdown {
resolved: number
escalated: number
workaround: number
unresolved: number
}
export interface AnalyticsSummary {
total_sessions: number
completed_sessions: number
completion_rate: number
median_duration_minutes: number
active_engineers: number
outcome_breakdown: OutcomeBreakdown
}
export interface TimeSeriesPoint {
date: string
sessions: number
resolved: number
escalated: number
workaround: number
unresolved: number
}
export interface TopFlow {
tree_id: string
name: string
sessions: number
completion_rate: number
median_duration_minutes: number
avg_csat?: number
}
export interface TopEngineer {
user_id: string
name: string
sessions: number
completion_rate: number
median_duration_minutes: number
}
export interface TeamAnalyticsResponse {
summary: AnalyticsSummary
time_series: TimeSeriesPoint[]
top_flows: TopFlow[]
top_engineers: TopEngineer[]
}
export interface PersonalAnalyticsResponse {
summary: AnalyticsSummary
time_series: TimeSeriesPoint[]
top_flows: TopFlow[]
}
export interface StepFeedbackSummary {
node_id: string
node_title: string
helpful_yes: number
helpful_no: number
helpful_rate: number
visit_count: number
dropoff_count: number
dropoff_rate: number
}
export interface FlowRatingItem {
rating: number
comment?: string
created_at: string
}
export interface FlowAnalyticsResponse {
summary: AnalyticsSummary
avg_csat?: number
total_ratings: number
time_series: TimeSeriesPoint[]
step_feedback: StepFeedbackSummary[]
recent_comments: FlowRatingItem[]
}
export type AnalyticsPeriod = '7d' | '30d' | '90d'

View File

@@ -9,6 +9,7 @@ export * from './folder'
export * from './step'
export type { Account, Subscription, PlanLimits, SubscriptionDetails, AccountInvite, AccountMember } from './account'
export * from './admin'
export * from './analytics'
// API response wrapper types
export interface PaginatedResponse<T> {