Synthesize qualitative research

Skill alexe-ev/product-plugins/product-discovery/skills/synthesize-qualitative-research

Synthesize user interviews, JTBD analysis, and qualitative data into actionable product insights. Use this skill when a team has raw qualitative data and needs structured insights.From its SKILL.md

Install

npx -y skills add alexe-ev/product-plugins --skill synthesize-qualitative-research

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SKILL.md

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Synthesize Qualitative Research

Purpose

Transform raw qualitative data (interview notes, JTBD maps, survey responses, support logs) into structured, actionable product insights.

Skill type

Conceptual skill

Use this skill when

Interview notes or research data need to be organized and synthesized
The team has collected feedback but can't see the pattern
A JTBD exercise needs to be turned into product implications
Support tickets, reviews, or NPS comments need to be analyzed for themes

Do not use this skill when

No qualitative data has been collected yet (first run identify-problem-opportunity)
The goal is quantitative analysis (use data-analytics skills)

Required inputs

Raw qualitative data (interview notes, quotes, feedback, JTBD statements)

Optional inputs

Research questions the team was trying to answer
User segment context
Hypotheses being tested

Upstream context

Works best when:

Research questions are defined
Target segment is known

If upstream context is missing

Synthesize what exists but explicitly flag that without research questions, themes may not map to actionable decisions.

Downstream handoff

Output can feed:

develop-persona-segment
frame-insight-opportunity
formulate-experiment-hypothesis

Instructions

Identify the research questions being answered (or infer from data).
Extract key themes and patterns from the raw data.
Identify the most frequently mentioned pain points, jobs, and motivations.
Separate observations (what users said/did) from interpretations (what it means).
Flag outliers and edge cases separately.
Summarize top 3–5 actionable insights.
Identify gaps: what was not answered by the research.

Output

Provide:

Research questions (stated or inferred)
Key themes (with supporting evidence)
Top insights (3–5, actionable)
JTBD summary (if JTBD data was provided)
Outliers and edge cases
Research gaps
Confidence level: thin-data / moderate / well-supported