user-research-synthesis

Solid

Specialized skill for synthesizing qualitative user research into actionable insights. Analyzes interview transcripts, extracts patterns and themes, identifies pain points, creates affinity diagrams, and generates persona attributes from research data.

AI & Automation 1,160 stars 71 forks Updated today MIT

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Skill Content

# User Research Synthesis Skill Synthesize qualitative user research data into actionable product insights with thematic analysis and evidence-based recommendations. ## Overview This skill provides comprehensive capabilities for transforming raw user research data into structured insights. It supports interview transcript analysis, survey response synthesis, support ticket mining, and cross-source research aggregation. ## Capabilities ### Transcript Analysis - Analyze interview transcripts for patterns and themes - Extract key quotes and supporting evidence - Identify user pain points, needs, and goals - Tag and categorize research findings - Calculate insight confidence levels based on evidence ### Thematic Analysis - Create affinity diagrams from research data - Build thematic maps showing relationships - Identify emerging patterns across participants - Cluster related findings into themes - Prioritize themes by frequency and impact ### Persona Development - Generate persona attributes from research data - Identify user segments and archetypes - Map behaviors, motivations, and frustrations - Create Jobs-to-be-Done statements per persona - Validate personas against quantitative data ### Research Aggregation - Synthesize research across multiple sources - Combine surveys, interviews, and support tickets - Track sentiment trends over time - Calculate statistical confidence in findings - Generate research repository documentation ## Prerequisites ### Required Tools - ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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