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10x Analysis: ResolutionFlow
Session 1 | Date: 2026-02-10
Current Value
ResolutionFlow guides MSP engineers through structured troubleshooting decision trees, captures every step/decision/note, and exports professional ticket documentation. Target: Michael Chihlas uses it for 50% of tickets within 3 months.
Core loop: Receive ticket → pick tree → follow guided path → take notes → export documentation → paste into PSA.
What works well: The guided troubleshooting UX is solid. Tree editor supports rich content (markdown, PowerShell commands). Session capture is comprehensive. Export formats cover common needs. Step Library enables knowledge reuse. RBAC/multi-tenant foundations are strong.
The Question
What would make this 10x more valuable — from "useful documentation tool" to "indispensable MSP operating system"?
Massive Opportunities
1. Intelligence Loop: Session Data → Actionable Insights → Better Trees
What: Every session captures rich data (path taken, time per step, outcomes, custom steps created) but today it evaporates after export. Build an analytics engine that mines session data to: surface trending issues, identify dead-end tree branches, recommend tree improvements, and predict what tree an engineer needs based on ticket keywords.
Why 10x: This transforms ResolutionFlow from a static playbook into a learning system. Every session makes the product smarter. MSP managers get visibility they've never had — which trees work, which engineers are efficient, which clients have recurring problems. This is the moat: the more sessions run, the more valuable the platform becomes. No competitor can replicate your accumulated operational intelligence.
Unlocks:
- "Smart tree picker" — paste ticket description, get recommended tree
- Tree health scores — identify underperforming branches
- Auto-detect when custom steps should become permanent tree branches
- Manager dashboards with real ROI metrics (time saved, resolution rates)
Effort: High (analytics pipeline, dashboards, recommendation engine) Risk: Need enough session volume to be useful. Cold start problem for new teams. Score: 🔥 Must do — this is THE compounding moat
2. PSA Integration: One-Click Ticket Documentation
What: Direct API integration with ConnectWise, Autotask, Kaseya BMS, and HaloPSA. When a session completes, one click pushes formatted documentation directly into the ticket. Better yet: start sessions FROM a ticket (pull ticket number, client name, issue description automatically).
Why 10x: The current workflow breaks at the last mile — engineer copies export text, switches to PSA, pastes. This friction is the #1 adoption killer. Every extra click is a reason to skip ResolutionFlow and just wing it. Direct PSA integration makes the tool frictionless AND positions ResolutionFlow inside the tool engineers already live in.
Unlocks:
- Bi-directional flow: ticket → session → documentation → ticket
- Auto-populate client name, ticket number from PSA
- Pull client history from PSA into session context
- Time entry sync (PSA time tracking from session duration)
Effort: High (multiple PSA APIs, OAuth flows, field mapping, each PSA is different) Risk: PSA APIs are notoriously painful. ConnectWise alone could take weeks. Start with ONE (whichever Michael's MSP uses). Score: 🔥 Must do — eliminates the biggest adoption barrier
3. Client Intelligence: "What happened last time?"
What: When starting a session, show the engineer a sidebar with: previous sessions for this client, known configurations, recurring issues, client-specific notes. Build a living client dossier from accumulated session data.
Why 10x: MSPs manage dozens of clients. Engineers often handle tickets for clients they haven't worked with before. Today they dig through PSA history or ask colleagues. ResolutionFlow already captures client_name on sessions — aggregating this into a client profile transforms it from a troubleshooting tool into a client knowledge base.
Unlocks:
- "This client had the same VPN issue 3 times in 6 months" — pattern detection
- Client-specific tree customizations (e.g., "Acme uses Cisco, not Fortinet")
- Handoff quality — new engineer sees full client troubleshooting history
- Churn risk signals for MSP account managers
Effort: Medium-High (client entity, aggregation, UI sidebar in session view) Risk: Depends on consistent client naming (or PSA integration for canonical names) Score: 🔥 Must do — obvious value, data already partially exists
4. AI Copilot: "What should I try next?"
What: An AI assistant within sessions that can: suggest next steps based on symptoms described in notes, generate PowerShell/CLI commands tailored to the situation, explain error messages, and recommend relevant KB articles or similar past sessions.
Why 10x: This makes junior engineers perform like seniors. MSPs constantly struggle with training — juniors escalate too quickly, seniors are bottlenecked. An AI copilot that understands the tree context + session notes + client history could dramatically reduce escalation rates and resolution times.
Unlocks:
- "Paste the error message" → AI suggests likely cause + next tree branch
- Dynamic command generation (fill in hostnames, IPs from session context)
- Natural language search across all trees ("how do I fix BSOD after update?")
- Auto-generate tree drafts from freeform troubleshooting notes
Effort: Very High (LLM integration, prompt engineering, context management, cost control) Risk: Accuracy matters enormously — bad advice in IT troubleshooting can cause outages. Needs confidence indicators and human-in-the-loop. Score: 👍 Strong — transformative but needs careful execution, do after intelligence loop
Medium Opportunities
1. Step-Level Time Tracking + Resolution Outcomes
What: Automatically capture duration at each tree step (timestamp on entry/exit). Add a "Did this resolve the issue?" prompt at session end with outcome categories (resolved, escalated, workaround, unresolved). Surface this in session history and analytics.
Why 10x: This is the foundation for everything else. Without outcome tracking, you can't measure tree effectiveness. Without time tracking, you can't quantify ROI. This data answers: "Is ResolutionFlow actually saving us time?" — the question every MSP manager will ask before buying.
Impact: Enables ROI dashboards, tree optimization, SLA compliance tracking Effort: Low-Medium (timestamps exist, just need step-level granularity + outcome modal) Score: 🔥 Must do — foundational data, low effort, unlocks analytics
2. Tree Effectiveness Dashboard
What: A dashboard showing: most-used trees, average resolution time per tree, completion rate, escalation rate, most-common paths taken (heatmap on tree visualization), and trees with high custom-step insertion (signals missing content).
Why 10x: MSP managers have zero visibility into troubleshooting quality today. This dashboard sells the product to decision-makers (not just engineers). It answers: "Which trees need improvement?" and "Which engineers need training?"
Impact: Turns ResolutionFlow from an engineer tool into a management tool — expands buyer persona Effort: Medium (aggregation queries, dashboard UI, tree heatmap visualization) Score: 🔥 Must do — sells to managers, not just engineers
3. Tree Templates + Marketplace
What: Pre-built tree packs for common MSP scenarios (M365 admin, Azure AD, network troubleshooting, endpoint management). Allow MSPs to publish and share tree templates. Eventually: a marketplace where top MSPs sell their proven playbooks.
Why 10x: Building trees from scratch is the biggest adoption barrier after PSA integration. If an MSP can import a "Microsoft 365 Troubleshooting" pack on day one, time-to-value collapses from weeks to minutes. A marketplace creates network effects — more MSPs = more templates = more valuable for everyone.
Impact: Eliminates cold start, creates community, potential revenue stream Effort: Medium (template export/import, curation, marketplace UI is later) Score: 👍 Strong — import/export is quick win, full marketplace is later
4. Team Activity Feed + Collaboration
What: A team-wide activity feed showing: sessions started/completed, trees created/updated, custom steps shared, and the ability to comment on sessions ("Hey, next time try X instead"). Add @mentions and notifications.
Why 10x: MSPs are teams, not individuals. Knowledge sharing between engineers is where the real value compounds. Today a senior engineer's expertise lives in their head. Activity feeds make institutional knowledge visible and enable peer learning.
Impact: Transforms solo tool into team platform, increases daily engagement Effort: Medium (activity model, feed UI, notifications) Score: 👍 Strong — high engagement driver, moderate effort
5. Quick-Start from Clipboard
What: Engineer pastes a ticket description or error message → ResolutionFlow analyzes it and suggests the most relevant tree + starting branch. One click to begin a pre-contextualized session.
Why 10x: Eliminates the "which tree do I use?" friction. Engineers currently browse a library — with 50+ trees, this becomes a bottleneck. Clipboard analysis makes the tool feel intelligent and fast.
Impact: Reduces session start time from 30s of browsing to 3s of paste-and-go Effort: Medium (text analysis, tree matching — could be keyword-based initially, AI later) Score: 👍 Strong — significant UX improvement, can start simple
Small Gems
1. Session Timer (Visible Clock)
What: A live timer in the session header showing elapsed time. Optionally, a "target time" per tree (e.g., "Password resets should take <5 min").
Why powerful: Engineers are often unaware of time spent. Visible timer creates gentle urgency, helps with time entries, and provides data for analytics. Trivial to build.
Effort: Low (frontend-only, a Date.now() - startedAt display)
Score: 🔥 Must do
2. Keyboard-First Navigation
What: Number keys (1-9) to select options, Enter to continue, Escape to go back, Tab to focus notes. Full keyboard-driven troubleshooting.
Why powerful: Engineers troubleshoot while on calls or remoted into machines. Mouse-dependent UI slows them down. Keyboard shortcuts make the tool feel professional and fast — power users will love it.
Effort: Low (event listeners, already have useKeyboardShortcuts hook)
Score: 🔥 Must do
3. "Repeat Last Session" Button
What: One-click to start a new session on the same tree you last used, pre-filled with the same client name. Why powerful: MSP engineers often handle batches of similar tickets. "I'm doing password resets all morning." Eliminating re-selection saves minutes across dozens of sessions. Effort: Very Low (store last session reference, pre-fill modal) Score: 🔥 Must do
4. Session Draft Auto-Recovery
What: If browser crashes or closes mid-session, auto-recover from the last saved state on next visit. Show a "Resume interrupted session?" prompt. Why powerful: Losing a 20-minute troubleshooting session to a browser crash is rage-inducing. Auto-recovery eliminates this anxiety and builds trust. Sessions already persist to DB — just need reconnection logic. Effort: Low (check for incomplete sessions on login, offer resume) Score: 🔥 Must do
5. Copy Individual Step to Clipboard
What: A copy icon on each step during session review that copies just that step's content (command, notes, outcome) to clipboard. Why powerful: Engineers often need to share a specific step with a colleague or paste one command into a remote session. Currently must export entire session and find the relevant line. Effort: Very Low (copy button per step in session detail view) Score: 👍 Strong
6. "This Step is Wrong" Flag
What: A small flag/report button on each tree step during sessions. Flags aggregate for tree authors to review. Why powerful: Creates a quality feedback loop without requiring formal reviews. Engineers won't write bug reports, but they'll click a flag button. Tree authors see which steps get flagged most. Effort: Low (flag button, flag count on tree author view) Score: 👍 Strong
7. Dark/Light Syntax Highlighting in Commands
What: PowerShell/CLI commands in tree steps get proper syntax highlighting (already have Monaco — could reuse its highlighting). Why powerful: Engineers scan commands quickly when they're highlighted. Wall of monochrome text is harder to parse. Makes the product feel more premium and developer-native. Effort: Low (use highlight.js or Monaco's tokenizer for inline code blocks) Score: 🤔 Maybe — nice polish, not urgent
Recommended Priority
Do Now (Quick Wins — ship this week)
- Session Timer — live elapsed time display in session header. Foundation for time analytics.
- Keyboard Navigation — 1-9 for options, Enter/Escape, Tab to notes. Power user essential.
- Repeat Last Session — one-click re-start with same tree/client. Batch workflow enabler.
- Session Draft Auto-Recovery — resume interrupted sessions. Trust builder.
- Copy Step to Clipboard — per-step copy button in session detail. Daily utility.
Do Next (High Leverage — next 2-4 weeks)
- Step-Level Time Tracking + Outcome Capture — foundational data for everything below
- "This Step is Wrong" Flag — quality feedback loop for tree authors
- Tree Effectiveness Dashboard — most-used trees, resolution rates, time metrics. Sells to managers.
- Quick-Start from Clipboard — paste ticket text, get tree recommendation. Start with keyword matching.
Explore (Strategic Bets — next 1-3 months)
- PSA Integration (ConnectWise first) — one-click documentation push. Biggest adoption unlocker. Risk: API complexity. Start with the PSA Michael's team uses.
- Client Intelligence Sidebar — past sessions for this client, recurring issues, client notes. Medium effort, enormous value for MSPs managing 30+ clients.
- Intelligence Loop / Analytics Engine — mine session data for tree improvement signals, trending issues, engineer efficiency. THE compounding moat.
- Tree Templates + Import/Export — pre-built MSP tree packs. Eliminates cold start for new teams.
Backlog (Good but Not Now)
- AI Copilot — powerful but premature. Need more session data and user trust first. Revisit after analytics foundation exists.
- Team Activity Feed — valuable but not urgent until team sizes grow beyond 5-10.
- Marketplace — needs critical mass of templates and users. Phase 4+.
- Syntax Highlighting — polish, not priority.
The Thesis
ResolutionFlow today is a guided workflow tool. That's valuable but replaceable — a good Notion template could approximate it.
The 10x version is a troubleshooting intelligence platform: every session makes the system smarter, every team member's knowledge becomes institutional, every client interaction builds a living dossier, and every metric proves ROI to the person signing the check.
The moat is the data flywheel:
More sessions → better analytics → smarter trees → faster resolutions → more adoption → more sessions
The single most important near-term move: add step-level time tracking + session outcomes. It's low effort, but without it, you can't prove value, optimize trees, or build analytics. Everything else depends on this data.
The single most important strategic move: PSA integration. It's the difference between "another tool to check" and "the tool that lives inside my workflow." MSP engineers live in ConnectWise/Autotask. Meet them there.
Questions
Answered (from codebase research)
- Q: Does the product capture enough data for analytics? A: Yes — session decisions, path taken, timestamps, client names, tree snapshots all exist. Missing: step-level timing and explicit outcomes.
- Q: Is multi-tenant ready? A: Yes — Account/Subscription/Team models exist with RBAC. SaaS foundation is solid.
- Q: What PSA does Michael's MSP use? A: Not specified in codebase. ConnectWise and Kaseya mentioned in Phase 4 roadmap.
Blockers (need user input)
- Q: Which PSA does your MSP use? This determines integration priority.
- Q: How many trees do you realistically expect teams to maintain? (5? 20? 100?) — affects whether search/recommendation is urgent.
- Q: What's the current session volume? Enough to make analytics meaningful?
- Q: Would your manager pay for a dashboard showing team resolution metrics and ROI?
Next Steps
- Ship quick wins (timer, keyboard nav, repeat session, auto-recovery)
- Add step-level timestamps to session decision records
- Add session outcome capture (resolved/escalated/unresolved)
- Determine PSA target for first integration
- Design tree effectiveness dashboard mockup
- Validate "paste ticket → suggest tree" with Michael's real ticket descriptions