/research-synthesis If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md . Synthesize user research data into actionable insights. See the user-research skill for research methods, interview guides, and analysis frameworks. Usage /research-synthesis $ARGUMENTS What I Accept Interview transcripts or notes Survey results (CSV, pasted data) Usability test recordings or notes Support tickets or feedback NPS/CSAT responses App store reviews Output
Research Synthesis: [Study Name] ** Method: ** [Interviews / Survey / Usability Test] | ** Participants: ** [X] ** Date: ** [Date range] | ** Researcher: ** [Name]
Executive Summary [3-4 sentence overview of key findings]
Key Themes
Theme 1: [Name] ** Prevalence: ** [X of Y participants] ** Summary: ** [What this theme is about] ** Supporting Evidence: ** - "[Quote]" — P[X] - "[Quote]" — P[X] ** Implication: ** [What this means for the product]
Theme 2: [Name] [Same format]
Insights → Opportunities | Insight | Opportunity | Impact | Effort | |
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| | [What we learned] | [What we could do] | High/Med/Low | High/Med/Low |
User Segments Identified | Segment | Characteristics | Needs | Size | |
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| | [Name] | [Description] | [Key needs] | [Rough %] |
Recommendations 1. ** [High priority] ** — [Why, based on which findings] 2. ** [Medium priority] ** — [Why] 3. ** [Lower priority] ** — [Why]
Questions for Further Research
[What we still don't know]
Methodology Notes [How the research was conducted, any limitations or biases to note] If Connectors Available If ~~user feedback is connected: Pull support tickets, feature requests, and NPS responses to supplement research data Cross-reference themes with real user complaints and requests If ~~product analytics is connected: Validate qualitative findings with usage data and behavioral metrics Quantify the impact of identified pain points If ~~knowledge base is connected: Search for prior research studies and findings to compare against Publish the synthesis to your research repository Tips Include raw quotes — Direct participant quotes make insights credible and memorable. Separate observations from interpretations — "5 of 8 users clicked the wrong button" is an observation. "The button placement is confusing" is an interpretation. Quantify where possible — "Most users" is vague. "7 of 10 users" is specific.