Value: Shows the run’s risk load so reviewers know whether to escalate now, schedule validation, or backlog.
No priority pattern yet.
Step 1
Enter signal
Add the issue, source URL, file context, or pasted notes the AI should review.
Step 2
Review results
See priority, owner, impact, confidence, charts, clusters, and editable signal rows.
Step 3
Take action
Copy a Jira ticket, send a coworker update, save the session, or download handoff docs.
Step 1 · Intake
Enter a signal and source context
Start with one messy enterprise signal, then add any URL, file, ticket text, research note, or operational context that helps explain it.
Start here
Paste any messy product signal
Support tickets, QA notes, customer complaints, stakeholder asks, incident updates, or research findings all work. The system will convert the messy input into priority, ownership, confidence, risk, and next actions.
URLs are included as source evidence for the AI review. Server-side fetching can be added later when the host allows authenticated URL access.
Drop files here
or choose files to attach to this triage run.
.txt, .md, .csv, and .json files are read directly in the browser. PDF, DOCX, and XLSX files are attached as source metadata until server-side parsing is connected.
No source URLs or files attached yet.
Examples:
AI triage in progress
Building the review workspace
We’re turning the signal, files, URLs, and notes into a structured review: priority, owner routing, confidence, risk, recommended action, and handoff-ready outputs.
- Preparing signal intake…
- Reading attached sources…
- Extracting UX signals…
- Scoring risk and confidence…
- Mapping owners and impact…
- Building action plan…
- Preparing review workspace…
Step 2 · AI Review
Review the AI results
The AI output is organized for human review: use the summary, color-coded risk areas, charts, clusters, and editable rows to decide what happens next.
Real AI route ready
0Signals
0High Risk
—Confidence
0Clusters
Signal Charts
Risk, routing, and confidence
These charts turn the triage result into review guidance: what needs escalation, where work may bottleneck, and which recommendations need human verification.
Value: Shows whether ownership is balanced or one team is becoming the bottleneck for follow-up.
No owner pattern yet.
Value: Shows which AI recommendations are ready to act on versus which need human review before assignment.
No confidence pattern yet.
Priority matrix
Value: Combines risk/impact and effort so teams can spot do-now work, planned work, quick wins, and deferrable items.
Run triage to map signals by impact and effort.
Decision Workspace
Decision Summary
Run triage to get an executive readout of risk, owner concentration, confidence, and recommended next moves.
Run triage to see whether the output is ready for assignment, needs validation, or has bottleneck risk.
Before: messy notes, tickets, sources, and feedback. After: structured signals, clusters, risk scores, workflow states, and handoff-ready actions.
Executive Summary
AI-generated summary will appear here.
Suggested Next Step
Recommended action will appear here.
Action Plan
Waiting for triage- Run triage to generate recommended actions for escalation, validation, assignment, and follow-up.
Why this recommendation?
AI reasoning will appear here.
Step 2 · Pattern Detection
Signal Clusters
Run triage to group related signals and expose likely duplicate issue patterns.
Step 2 · Breakdown
UX Signal Table
This summary shows the strongest patterns in the current triage run: how much risk exists, which teams may be overloaded, and how many signals affect customers.
0High-risk signals0% need escalation or close review
0Needs design review0% require UX/product validation
0Routed to Engineering0% may create an engineering bottleneck
0Customer-impacting0% affect customer experience or trust
Switch between detailed editing and workflow-state review.
| Signal | Priority | Owner | Impact | Status | Cluster | Details |
|---|---|---|---|---|---|---|
| No AI analysis yet. Paste signals or load the sample set. | ||||||
Run triage to see signals grouped by recommended workflow state.
Step 3 · System Check
API Diagnostics
ModeNot run
Route—
Model—
Run Time—
Run triage to see whether the live AI route or local fallback generated the result.
Step 3 · Take Action
Choose the right handoff
Pick the outcome you need: send a ready email, create a ticket document, post a team update, download structured documents, or create a complete handoff package.
Communicate
Email, team-channel, and stakeholder-ready updates generated from the triage.
Ready-to-send email
The subject and message are prepopulated from the triage. Add recipients if you have them, review the wording, then create the email in your default mail app.
Enter complete email addresses, separated by commas.
Track work
Create ticket and action documents for follow-up ownership.
Create the top Jira ticket
Use this when the highest-risk signal needs a ticket with priority, owner, evidence, open questions, and recommended workflow already formatted.
Run triage to generate a ticket preview.
Post a Slack / Teams update
Use this for a quick internal update that summarizes the risk, next actions, and owner routing without the full report.
Run triage to generate a team update.
Review checkpoint
Confirm human review before handoff or export.
Mark the run reviewed
Use this after a human has checked the AI output, owner routing, confidence, and open questions.
Create reviewed actions doc
Use this after editing or accepting items. It copies only the reviewed or highest-priority actions for follow-up.
Executive summary
Use this for a concise stakeholder readout: signals found, top risks, confidence, and next step.
Run triage to generate an executive summary.
Create full handoff package
Use this when PM, Design, Engineering, Support, or leadership needs one package with summary, risks, action plan, clusters, and tickets.
Save & export
Move structured triage output into docs, repos, spreadsheets, or archives.
Export structured files
Use exports when the output needs to move into a repo, spreadsheet, design doc, or stakeholder archive.
Step 3 · Save
Saved Sessions
Save the current signal review, reload prior sessions, or start a clean signal when the handoff is complete.
Save Signal
Store the current triage locally so you can return to the reviewed signals, sources, decisions, and handoff actions later.
Enter a signal name or use the default name before saving.
Start New Signal
Clear this intake and return to Step 1 with an empty signal, source tray, and review state.
Saved signal list
0 saved
Saved Signals
Saved signals appear here immediately after saving. Use Load to reopen a prior triage run or Delete to remove it from local storage.
No saved signals yet. Save the current signal review to add it to this list.