User Research Synthesis (Grade A) logo

User Research Synthesis (Grade A)Security-tested data-ai skill for Claude AI. Grade A. When the user has raw customer interview transcripts, survey responses, support tickets, or other qualitative data and needs to extract actionable

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

User Research Synthesis is a skill for analyzing qualitative data, such as customer interview transcripts, survey responses, support tickets, and other feedback sources. It helps extract actionable insights and structured information to inform product development and decision-making. The process involves reading and understanding the data, capturing metadata, identifying current solutions and pain points, and framing findings using the Jobs to Be Done (JTBD) approach. The output includes interview summaries, cross-interview synthesis, and actionable insights with recommended next steps.

Key features

  • Metadata capture
  • Current solutions and satisfaction level identification
  • Problem and pain point extraction
  • Jobs to Be Done (JTBD) framing
  • Follow-up action recommendation
  • Confidence level assessment

Pricing

Model
Free
Category
Skills
Rating
No reviews yet

Use cases

Product Development

Analyzing customer feedback to inform product development and prioritize features.

Customer Insights

Gaining a deeper understanding of customer needs, pain points, and motivations.

Pros & Cons

Pros

  • Provides a structured approach to analyzing qualitative data
  • Helps identify actionable insights and recommendations
  • Enables prioritization of product development based on customer needs
  • Facilitates understanding of customer pain points and motivations

Cons

  • Requires manual effort and time to read and analyze data
  • May be prone to bias if not done systematically
  • Limited by the quality and quantity of the input data

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Q&A

How Skills Work Together

Every skill reads from startup-context first — your company's stage, product, market, team, and metrics. This shared context means skills produce output tailored to your specific startup, not generic advice. See each skill's Related Skills section for the full dependency map.

Asked by Dumisani Ndlovu · Sep 27, 2025

What are Skills?

Skills are markdown files that give AI agents specialized knowledge and workflows for specific tasks. When you add these to your project, your agent can recognize what you're working on and apply the right frameworks, templates, and best practices — so you get founder-grade output, not generic AI slop.

Asked by Amara Chukwu · Aug 28, 2025

Who Is This For?

Solo technical founders building an MVP who also need to fundraise, sell, hire, and market — without a team to delegate to. First-time founders who know how to code but haven't written a pitch deck, cold email, or job description before. Small founding teams (2-3 people) wearing multiple hats and needing to move fast across every function. Technical co-founders who handle product and engineering but now need to step into sales, recruiting, or investor conversations. If you're at a company with a VP of Sales, a Head of Marketing, and in-house counsel — you probably don't need this. These skills are for founders who are the sales team, the marketing team, and the legal team, all at once.

Asked by Sven Bergqvist · Jul 30, 2025

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