synthesize-research

Name: synthesize-research
Availability: InStock
Author: FoundationForge

Synthesize user research into prioritized findings with themes and recommendations.

Updated Apr 12, 2026

Search Tags:#insights #recommendations #synthesize #user-research #thematic-analysis #affinity-mapping #opportunity-sizing

Ready to run

npx skills add https://github.com/FoundationForge/cowork-plugins --skill synthesize-research-foundationforge

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: synthesize-research
Source: https://github.com/FoundationForge/cowork-plugins/tree/main/plugins/product-management/skills/synthesize-research
Command: npx skills add https://github.com/FoundationForge/cowork-plugins --skill synthesize-research-foundationforge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts scattered interview notes, survey responses, and user feedback into a clear, prioritized set of findings so teams can make evidence-based product and UX decisions quickly.

Core Features & Use Cases

Thematic analysis: Extracts observations, quotes, behaviors, pain points, and positive signals from mixed research inputs and groups them into themes.
Prioritization & confidence: Counts frequency, assesses impact and confidence, and places findings into a priority matrix for roadmap decisions.
Deliverables & next steps: Produces a structured synthesis with key findings, user segments, opportunity areas, actionable recommendations, and suggested follow-up research.

Quick Start

Ask the assistant to synthesize the attached interview notes and survey responses into a prioritized list of findings with supporting quotes, frequency counts, and recommended next steps.

Frequently Asked Questions about synthesize-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I synthesize user research into prioritized product insights?▼

User research synthesis extracts observations and pain points from mixed inputs like interviews and surveys, groups them into themes, counts frequency, and assesses impact to generate prioritized insights and opportunity areas.

What is thematic analysis and how does it apply to UX research?▼

Thematic analysis in UX research extracts observations, quotes, behaviors, and pain points from user feedback, then groups these mixed research inputs into unified themes for product decision-making.

Can I turn interview notes and support tickets into a priority matrix?▼

Yes, you can process interview notes and support tickets to count issue frequency, assess impact and confidence, and place findings into a priority matrix to guide roadmap decisions.

How do I analyze survey responses for actionable recommendations?▼

Analyzing survey responses involves extracting positive signals and pain points, grouping them into themes, and sizing opportunities to produce actionable recommendations and suggested follow-up research.

What is the best way to do affinity mapping with raw customer feedback?▼

The best way to do affinity mapping with raw customer feedback is to extract behaviors and quotes, group them into themes, and assess frequency and impact to identify clear opportunity areas for product teams.