Triage feedback loop
Skill alexe-ev/product-plugins/customer-success/skills/triage-feedback-loop
Skill library for AI agents — 15 product domains, 121 skills. Tells the agent what to ask, how to reason, and what to output.
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Establish a feedback intake and triage system that routes insights to the right product teams. Use this skill when a team needs a reliable system for processing incoming customer feedback.
SKILL.md
2.3 KB, 448 tokens by cl100k_base, as published. Nobody here has run it
Triage Feedback Loop
Purpose
Help teams design a structured feedback intake and triage system that ensures insights reach the right people and inform product decisions without creating noise.
Skill type
Conceptual skill
Use this skill when
- Feedback is arriving from multiple channels without a clear routing process
- Product teams are overwhelmed by raw feedback volume
- High-signal feedback is getting lost in the noise
- CS and support are not effectively passing feedback to product
Do not use this skill when
- The goal is designing the full VoC program (use run-voc-program)
- The goal is analyzing churn (use analyze-churn-retention)
Required inputs
- Current feedback sources and volume (rough)
- Teams involved in receiving and acting on feedback
Optional inputs
- Current triage process (if any)
- CRM or support tooling
- Feedback tagging taxonomy
Upstream context
Works best when:
- VoC program exists or is being designed
- Product team structure is known
Downstream handoff
Output can feed:
- synthesize-qualitative-research (triaged feedback is synthesized into insights)
- identify-problem-opportunity (feedback themes become product problems)
Instructions
- Map all incoming feedback sources and their volume.
- Define a tagging taxonomy (product area, type, urgency, segment).
- Design the triage process: who reviews, how often, what criteria.
- Define routing rules: which feedback goes to which team.
- Define escalation for urgent or high-impact feedback.
- Design the feedback-to-action loop: how does feedback become a product decision?
Output
Provide:
- Feedback source map with volume estimates
- Tagging taxonomy
- Triage process design (who, how often, criteria)
- Routing rules by team
- Escalation process
- Feedback-to-action loop
- Tooling requirements
Risks / caveats
- Feedback that is collected but not routed creates the illusion of listening
- Triage must be fast — delayed triage creates backlogs that are never cleared
- Edge case feedback (one angry customer) must be distinguished from systematic signals
What ships with it: 4 files
7.8 KB alongside SKILL.md
examples/
- example-light-context.md2.3 KB
- example-poor-context.md790 B
- example-rich-context.md4.8 KB
- .gitkeep0 B
Gives 0 of the 12 instructions most debug triage skills give in 448 tokens
Counted across 839 of the 1,149 authors here whose files we hold, read 2026-08-07
- Investigate root cause before proposing any fixin 102 of 839, across 67 files
- Read error messages completelyin 89 of 839, across 49 files
- Create a failing test case before fixingin 84 of 839, across 46 files
- Reproduce the issue consistentlyin 82 of 839, across 41 files
- Change one variable at a timein 82 of 839, across 42 files
- Check recent changesin 74 of 839, across 36 files
- Write the regression test before fixingin 74 of 839, across 40 files
- Fix the root cause not the symptomin 60 of 839, across 45 files
- Implement a single fix at a timein 59 of 839, across 20 files
- Trace data flow backward to the sourcein 50 of 839, across 20 files
- Remove all debug instrumentationin 49 of 839, across 13 files
- Form a single hypothesisin 48 of 839, across 18 files
Said here and by no other author read
- Map all incoming feedback sources and their volume
- Define a tagging taxonomy
- Design the triage process
- Define routing rules for each team
- Define escalation for urgent feedback
- Design the feedback-to-action loop
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.