What problem does it solve?
Product teams and researchers struggle to turn messy interview notes, survey responses, support tickets, and community messages into clear, prioritized insights that inform product decisions and roadmaps. This Skill provides a repeatable synthesis process that extracts observations, quotes, behaviors, pain points, and opportunity areas and ranks them by frequency, impact, and confidence so teams can act with evidence.
Core Features & Use Cases
- Multi-source ingestion: Accepts pasted text, uploaded documents, transcripts, survey data, support tickets, and community messages to create a unified dataset for analysis.
- Qualitative analysis workflow: Performs thematic analysis, affinity mapping guidance, and triangulation across sources to identify robust themes and contradictions.
- Structured outputs: Produces a research overview, prioritized key findings with evidence and confidence levels, user segments/personas, opportunity sizing, and concrete roadmap recommendations.
- Actionable follow-ups: Generates open questions, suggested follow-up research, and artifacts such as persona briefs, opportunity maps, or research presentations tailored to stakeholder needs.
- Use Case: Turn 30 interview transcripts and 200 open-ended survey responses into 5–8 prioritized findings, three personas, and five roadmap recommendations ready for stakeholder review.
Quick Start
Synthesize 30 interview notes on onboarding and generate a prioritized research synthesis with findings, evidence, frequency, impact, confidence level, personas, and three roadmap recommendations.
