user-research-synthesis
user-research-synthesis is a User interviews & surveys skill for AI agents, published by mohitagw15856 in the pm-claude-skills repository on GitHub. Skillspace rates user-research-synthesis C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze and synthesize user research findings into structured, actionable insights. Use when given user research data, interview transcripts, survey results, or user feedback that needs to be analyzed and summarised. Produces a themed synthesis with prevalence data, supporting quotes, pain points analysis, feature request prioritisation, and recommended next steps. For interview transcripts specifically use user-interview-synthesis instead.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 1,187
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Portable: works in any project. General user research synthesis methodology
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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