feat: admin survey responses page with expandable detail and CSV export

- Backend: GET /admin/survey-responses (list with stats, invite join)
- Backend: GET /admin/survey-responses/export (CSV download)
- Frontend: SurveyResponsesPage with expandable row detail
- Two-column Q&A grid with typed answer rendering (chips, ranked lists, quote blocks)
- Stats cards (total responses, this week)
- CSV export button with blob download
- Sidebar nav + route wiring
- Also: updated Q14 from product domain ranking to diagnostic prioritization

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

backend/app/api/endpoints/admin_survey.py

@@ -1,8 +1,12 @@
-"""Admin endpoints for managing survey invites."""
+"""Admin endpoints for managing survey invites and responses."""
+import csv
+import io
 import logging
-from typing import Annotated
+from datetime import datetime, timedelta, timezone
+from typing import Annotated, Any
 
 from fastapi import APIRouter, Depends
+from fastapi.responses import StreamingResponse
 from sqlalchemy import select
 from sqlalchemy.ext.asyncio import AsyncSession
 
@@ -11,8 +15,14 @@ from app.core.config import settings
 from app.core.database import get_db
 from app.core.email import EmailService
 from app.models.survey_invite import SurveyInvite
+from app.models.survey_response import SurveyResponse
 from app.models.user import User
-from app.schemas.survey import SurveyInviteCreate, SurveyInviteResponse
+from app.schemas.survey import (
+    SurveyInviteCreate,
+    SurveyInviteResponse,
+    SurveyResponseDetail,
+    SurveyResponseListResponse,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -80,3 +90,148 @@ async def list_survey_invites(
     )
     invites = result.scalars().all()
     return [_build_invite_response(i) for i in invites]
+
+
+@router.get("/survey-responses", response_model=SurveyResponseListResponse)
+async def list_survey_responses(
+    db: Annotated[AsyncSession, Depends(get_db)],
+    current_user: Annotated[User, Depends(require_admin)],
+):
+    """List all survey responses with summary stats."""
+    stmt = (
+        select(SurveyResponse, SurveyInvite.recipient_name)
+        .outerjoin(SurveyInvite, SurveyResponse.invite_id == SurveyInvite.id)
+        .order_by(SurveyResponse.created_at.desc())
+    )
+    result = await db.execute(stmt)
+    rows = result.all()
+
+    one_week_ago = datetime.now(timezone.utc) - timedelta(days=7)
+    this_week = 0
+    responses: list[SurveyResponseDetail] = []
+
+    for survey_resp, invite_name in rows:
+        source = "invite" if survey_resp.invite_id else "direct"
+        responses.append(
+            SurveyResponseDetail(
+                id=str(survey_resp.id),
+                respondent_name=survey_resp.respondent_name,
+                responses=survey_resp.responses,
+                source=source,
+                invite_name=invite_name,
+                created_at=survey_resp.created_at,
+            )
+        )
+        if survey_resp.created_at >= one_week_ago:
+            this_week += 1
+
+    return SurveyResponseListResponse(
+        responses=responses,
+        total=len(responses),
+        this_week=this_week,
+    )
+
+
+# Question IDs in survey order, used for CSV export columns.
+QUESTION_IDS = [
+    "prereqs",
+    "verify_fix",
+    "steps_at_a_time",
+    "first_step",
+    "junior_mistake",
+    "pivot",
+    "scenario_approach",
+    "scenario_deeper",
+    "doc_pct",
+    "go_to_commands",
+    "secret_weapon",
+    "gotcha",
+    "hard_rules",
+    "prioritization",
+    "detail_level",
+    "ai_personality",
+]
+
+QUESTION_LABELS = {
+    "prereqs": "Q1: Prereqs",
+    "verify_fix": "Q2: Verify Fix",
+    "steps_at_a_time": "Q3: Steps at a Time",
+    "first_step": "Q4: First Step",
+    "junior_mistake": "Q5: Junior Mistake",
+    "pivot": "Q6: Pivot",
+    "scenario_approach": "Q7: Scenario Approach",
+    "scenario_deeper": "Q8: Scenario Deeper",
+    "doc_pct": "Q9: Doc Pct",
+    "go_to_commands": "Q10: Go-To Commands",
+    "secret_weapon": "Q11: Secret Weapon",
+    "gotcha": "Q12: Gotcha",
+    "hard_rules": "Q13: Hard Rules",
+    "prioritization": "Q14: Prioritization",
+    "detail_level": "Q15: Detail Level",
+    "ai_personality": "Q16: AI Personality",
+}
+
+
+def _format_answer(value: Any) -> str:
+    """Format a survey answer for CSV export."""
+    if value is None:
+        return ""
+    if isinstance(value, list):
+        # Check if this looks like a ranked list (list of strings to number)
+        # Rank answers: "1. X; 2. Y"
+        # Multi-select: "X; Y"
+        # Heuristic: if it's a list, treat as multi-select joined with "; "
+        return "; ".join(str(v) for v in value)
+    return str(value)
+
+
+def _format_ranked_answer(value: Any) -> str:
+    """Format a ranked answer: '1. X; 2. Y'."""
+    if isinstance(value, list):
+        return "; ".join(f"{i + 1}. {v}" for i, v in enumerate(value))
+    return _format_answer(value)
+
+
+# Question IDs that use ranked answers
+RANKED_QUESTIONS = {"prioritization"}
+
+
+@router.get("/survey-responses/export")
+async def export_survey_responses_csv(
+    db: Annotated[AsyncSession, Depends(get_db)],
+    current_user: Annotated[User, Depends(require_admin)],
+):
+    """Export all survey responses as CSV."""
+    stmt = (
+        select(SurveyResponse)
+        .order_by(SurveyResponse.created_at.desc())
+    )
+    result = await db.execute(stmt)
+    rows = result.scalars().all()
+
+    output = io.StringIO()
+    writer = csv.writer(output)
+
+    # Header row
+    headers = ["Respondent", "Date"] + [QUESTION_LABELS.get(qid, qid) for qid in QUESTION_IDS]
+    writer.writerow(headers)
+
+    for resp in rows:
+        row = [
+            resp.respondent_name or "Anonymous",
+            resp.created_at.strftime("%Y-%m-%d %H:%M") if resp.created_at else "",
+        ]
+        for qid in QUESTION_IDS:
+            answer = resp.responses.get(qid) if resp.responses else None
+            if qid in RANKED_QUESTIONS:
+                row.append(_format_ranked_answer(answer))
+            else:
+                row.append(_format_answer(answer))
+        writer.writerow(row)
+
+    output.seek(0)
+    return StreamingResponse(
+        iter([output.getvalue()]),
+        media_type="text/csv",
+        headers={"Content-Disposition": "attachment; filename=survey-responses.csv"},
+    )