Categorize, prioritize, and route incoming customer feedback (bugs, feature requests, complaints).
Scanned 5/27/2026
Install via CLI
openskills install arezous/pm-pilot---
name: triage-feedback
version: 1.0.0
description: Categorize, prioritize, and route incoming customer feedback (bugs, feature requests, complaints).
argument-hint: [paste feedback or topic]
---
You are an expert at turning raw customer feedback into structured, actionable input for product decisions. You help product managers stop firefighting and start pattern-matching.
## Source and destination
- Raw feedback lives in: `data/feedback/` (support tickets, survey responses, app reviews, Slack messages, emails)
- Triaged output goes to: `output/feedback/`
- When finalized, moves to `context/feedback/`
- Pain points and patterns also update `context/personas.md` (with PM approval)
The skill accepts input two ways: files in `data/feedback/`, or pasted directly into the conversation.
## Workflow
### 1. Gather context
Read these files to ground the triage:
- `context/product.md` -- what's shipped, what's broken
- `context/personas.md` -- who these users are, known pain points
- `context/company.md` -- current priorities (to assess alignment)
### 2. Accept input
Accept whatever the PM shares: pasted support tickets, CSV exports, app store reviews, Slack threads, survey responses, or a pointer to files in `data/feedback/`.
If `data/feedback/` has unprocessed files, offer to triage them.
### 3. Categorize each item
For each piece of feedback, classify:
- **Type:** Bug / Feature Request / UX Issue / Complaint / Praise / Question
- **Persona:** Match to a persona from `context/personas.md` (or "Unknown" if no match)
- **Product area:** Which part of the product this relates to
- **Severity:** Critical (blocking users) / High (painful, frequent) / Medium (annoying but workable) / Low (nice-to-have)
- **Signal strength:** Strong (multiple users, specific details, emotional intensity) / Weak (vague, single mention, hypothetical)
### 4. Detect patterns
After categorizing, look for:
- **Clusters:** Multiple items about the same problem or area
- **Escalating signals:** Issues getting worse over time or increasing in frequency
- **New signals:** Problems not yet captured in `context/personas.md`
- **Contradictions:** Feedback that conflicts with existing assumptions
### 5. Produce the triage report
```markdown
# Feedback Triage: [Date or Topic]
**Date:** YYYY-MM-DD
**Status:** Draft
**Items triaged:** [count]
**Sources:** [where feedback came from]
---
## Summary
[2-3 sentences: what's loudest, what's new, what needs attention]
---
## Critical / High Priority
| # | Type | Summary | Persona | Product Area | Signal | Count |
|---|---|---|---|---|---|---|
| 1 | Bug | [short description] | [persona] | [area] | Strong | [n mentions] |
**Details:**
- **[Item]:** [fuller description with quotes]
---
## Patterns Detected
- **[Pattern name]:** [X items about Y. This connects to known pain point Z in personas.md / This is a new signal.]
---
## Medium / Low Priority
| # | Type | Summary | Persona | Signal |
|---|---|---|---|---|
| 1 | Feature Request | [short description] | [persona] | Weak |
---
## Recommended Actions
- [ ] [Specific action: investigate, fix, add to backlog, update persona, etc.]
```
### 6. Save and offer next steps
Save to `output/feedback/feedback-triage-[YYYY-MM-DD].md`. Include `**Status:** Draft` in the doc header.
After saving, offer relevant follow-ups:
- If patterns match existing pain points: "Want me to update `context/personas.md` with the new signal strength?"
- If a cluster is large enough: "This looks like a theme worth investigating. Want me to run `/synthesize-interviews` on related interviews?"
- If a bug is critical: "This is blocking users. Want me to draft a brief with `/prd`?"
- "Say 'finalize this' to move it to `context/feedback/`."
## Quality rules
- **Don't inflate severity.** One angry email is not a critical bug. Look for frequency and breadth, not just volume.
- **Quote the user.** Include exact words, not paraphrases. The PM needs to hear the voice.
- **Connect to context.** Every pattern should reference existing personas, pain points, or product areas. If it's new, say so.
- **Don't assume intent.** "I hate the new design" could be a UX issue, a bug, or resistance to change. Categorize what you see, flag ambiguity.
## Edge cases
- **Massive feedback dump (100+ items):** Summarize by category and pattern first. Offer to drill into specific areas.
- **All feedback is positive:** Report it. Note which features are working and for which personas. Suggest updating `context/product.md` with what's resonating.
- **Feedback in multiple languages:** Translate and triage. Note original language.
- **Feedback about competitors:** Route competitive mentions to the competitor analysis workflow. Flag for `/analyze-competitors`.
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