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Synthesizing user feedback v1.0.0
Use this resource to turn a large volume of user feedback into reliable product decisions
New
- 395 downloads
- 222 likes
- 134 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install user-feedback-synthesisWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent groups feedback by theme and segment, checks whether it reflects a vocal minority or a broad need, then suggests using the product yourself. You get a ranked synthesis and an immersion plan.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: feedback synthesis and filtering method
- references/artifacts.md: synthesis grid templates
- references/guest-insights.md: guest insights on listening to customers
Good fit for
- Your support tickets and reviews contradict each other and don't say what to prioritize
- You want to know whether a request comes from a small group or from the wider user base
Not for
Tags
- user feedback
- synthesis
- research
- decisions
About
You say
“Synthesize these 200 customer reviews by theme and tell me which needs are truly broad.”
Skill published by refoundai under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to turn a large volume of user feedback into reliable product decisions
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/artifacts.md26.3 KB
- references/guest-insights.md17.2 KB
- SKILL.md6.5 KB
Origin and licence
Listed unmodified
- Author
- refoundai
- Source
- github.com/refoundai/lenny-skills/tree/13598cc54e09399bc1bc1398b0fca284110efb2f/skills/analyzing-user-feedback
- Licence
- MIT
Notice
« analyzing-user-feedback » (refoundai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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