Agent skill · research science · anthropics

synthesize-research

Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap recommendations.

Why this skill is useful

Provides a structured methodology for synthesizing user research insights that the AI wouldn't reliably generate on its own.

What it needs

About 9k tokens when loaded. Last updated 2026-08-07. 23,345 stars on the source repository.

What this skill does

Synthesize Research If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md. Synthesize user research from multiple sources into structured insights and recommendations. Usage Workflow 1. Gather Research Inputs Accept research from any combination of: Pasted text: Interview notes, transcripts, survey responses, feedback Uploaded files: Research documents, spreadsheets, recordings summaries ~~knowledge base (if connected): Search for research documents, interview notes, survey results ~~user feedback (if connected): Pull recent support tickets, feature requests, bug reports ~~product analytics (if connected): Pull usage data, funnel metrics, behavioral data ~~meeting transcription (if connected): Pull interview recordings, meeting summaries, and discussion notes Ask the user what they have: What type of research? (interviews, surveys, usability tests, analytics, support tickets, sales call notes) How many sources / participants? Is there a specific question or hypothesis they are investigating? What decisions will this research inform? 2. Process the Research For each source, extract: Key observations: What did users say, do, or experience? Quotes: Verbatim quotes that illustrate important points Behaviors: What users actually did (vs what they said they do) Pain points: Frustrations, workarounds, and unmet needs Positive signals: What works well, moments of delight Context: User segment, use case, experience level 3. Identify Themes and Patterns Apply thematic analysis — see Research Synthesis Methodology below for detailed guidance on thematic analysis, affinity mapping, and triangulation techniques. Group observations into themes, count frequency across participants, and assess impact severity. Note contradictions and surprises. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills anthropics/synthesize-research

View the source on GitHub

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