research-synthesis
Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NPS responses that need to be distilled into patterns, user segments, and prioritized next steps.
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About research-synthesis
The research-synthesis skill transforms raw user research data into structured, actionable insights. It addresses the common challenge of having volumes of qualitative data—interview transcripts, survey responses, usability test notes, support tickets, or NPS feedback—without a clear path to understanding what it means for your product. Instead of manually combing through hours of recordings or hundreds of responses, this skill distills patterns, identifies recurring themes, and surfaces the signal from the noise.
The skill produces comprehensive research syntheses that include thematic analysis with prevalence metrics, direct participant quotes as supporting evidence, and clear implications for product decisions. It identifies user segments based on behavioral patterns and needs, maps insights to actionable opportunities with impact and effort estimates, and provides prioritized recommendations grounded in the research findings. The output follows established UX research frameworks, making it easy to share with stakeholders and incorporate into product planning cycles.
This skill is designed for product managers conducting discovery research, UX researchers analyzing qualitative studies, customer success teams synthesizing feedback trends, and product teams validating feature ideas with user data. It integrates with user feedback systems, product analytics platforms, and knowledge bases when available, allowing you to cross-reference qualitative findings with quantitative data and compare against historical research. Whether you're running formal research studies or analyzing ongoing feedback channels, research-synthesis helps you move from data collection to decision-making faster.
FAQ
What types of research data can I analyze with this skill?
The skill accepts interview transcripts or notes, survey results in CSV or pasted format, usability test recordings or notes, support tickets, customer feedback, NPS/CSAT responses, and app store reviews. You can provide raw data in various formats, and the skill will structure it into themes and insights.
How does this skill differ from the user-research skill?
The user-research skill focuses on research planning, methodology, interview guides, and analysis frameworks. The research-synthesis skill takes the data you've already collected and synthesizes it into structured findings, themes, and recommendations. Use user-research for designing studies, and research-synthesis for analyzing the results.
Do I need connected tools to use this skill?
No, the skill works with any research data you provide directly. However, if you have user feedback systems, product analytics, or knowledge base connectors available, the skill can pull additional data to supplement your analysis, validate findings with usage metrics, and cross-reference with prior research studies.
How does the skill ensure insights are grounded in evidence?
The synthesis includes prevalence metrics showing how many participants exhibited each theme, direct quotes from participants as supporting evidence, and separates observations from interpretations. This evidence-based approach ensures recommendations are credible and traceable back to the source data.
Can this skill identify different user segments?
Yes, the skill analyzes patterns in the research data to identify distinct user segments based on characteristics, needs, and behaviors. It provides a structured breakdown of each segment with rough size estimates, making it easier to prioritize features and personalize experiences for different user groups.
Install research-synthesis
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
anthropics/knowledge-work-plugins