Synthesize multiple research sources into coherent insights with clear evidence chains.
8+ hrs → 1 hr
Compared to doing it manually
/research-synthesis-engineType this in Claude to run the skill
Research insights live in scattered docs, slides, and people's heads. When you need evidence, you can't find it. Decisions get made without the full picture.
This skill is part of 2 workflows that automate multiple steps together:
.claude/skills/ folder in your project/research-synthesis-engine in Claude to run the skillExtract Jobs-to-be-Done statements from research data to uncover innovation opportunities.
Transform interview transcripts into structured insights with quotes, patterns, and recommendations.
Analyze and categorize customer feedback into actionable themes using affinity mapping.
Extract themes, complaints, and feature requests from app reviews at scale.
Research synthesis combines findings from multiple research activities (interviews, surveys, analytics) into coherent insights. It identifies patterns, contradictions, and key takeaways that inform product decisions.
Use affinity mapping: write insights on sticky notes, group related ones, identify themes. Look for patterns across sources. Distinguish between what users say, what they do, and what they need.
Lead with insights, not methodology. Use the format: "We learned [insight] which means [implication] so we should [recommendation]." Include supporting quotes but don't overwhelm with data.
Download this skill and drop it in your .claude/skills/ folder.
This skill + 70+ more, context files, and agent workflows — $499