Usability Test Data Synthesis & Analysis
Transform usability test data into prioritized, evidence-backed insights
What You Can Do
Analyze raw usability testing data—transcripts, session notes, task completion rates, and participant feedback—to surface recurring patterns and user behaviors. Claude identifies the highest-impact issues, extracts testable insights about user mental models, and generates prioritized recommendations ranked by severity, frequency, and business impact. This cuts manual synthesis time from hours to minutes while maintaining analytical rigor.
Features
identifies recurring usability issues, behaviors, and mental models across your full participant sample
ranks findings by impact using frequency, task criticality, and user frustration signals
extracts specific, testable conclusions tied directly to participant quotes and observed behaviors
synthesizes both qualitative observations (transcripts, notes) and quantitative metrics (task completion, SUS scores, time-on-task)
generates numbered, actionable recommendations with implementation guidance and affected user segments
compares findings across testing rounds to flag persisting vs. resolved issues
structures output for executive summaries, including headline findings and supporting evidence
Example Output
Input: Raw session notes from 8 moderated usability tests + SUS scores + task completion data
Output:
Top 3 Critical Findings:
- Navigation confusion affects 62% of participants — Users expected account settings under profile menu, not top navigation. Avg. task time: 4m 23s vs. 1m 48s for successful flow. Evidence: "I assumed it would be under my name..."
- Checkout form field labels unclear — 5/8 participants hesitated at "billing method" field, confusing it with payment history. Severity: High (conversion impact).
- Mobile button sizing causes misclicks — Participants on mobile devices tapped nearby elements instead of intended buttons 3+ times per session.
Recommended Actions (in priority order):
- Move settings to profile menu dropdown (Effort: Low, Impact: High, Affected Users: 62%)
- Relabel to "payment method" with supporting microcopy (Effort: Low, Impact: Medium)
- Increase touch target sizing to 48px minimum (Effort: Medium, Impact: High on mobile users)
What's Included
- SKILL.md instruction file with overview, use cases, and core analysis framework:
- Data Input Template: structured format for organizing raw session notes, quotes, metrics, and behavioral observations
- Pattern Analysis Checklist: guided prompts for identifying recurring issues, mental model gaps, and task blockers
- Prioritization Matrix: framework for ranking findings by severity, frequency, user impact, and implementation effort
- Insight Extraction Worksheet: method for converting raw observations into specific, testable conclusions with supporting evidence
Who It's For
- UX Researchers — synthesizing usability test data into structured findings and recommendations
- Product Managers — extracting and prioritizing user-facing issues from research to inform roadmaps
- Design Teams — identifying high-impact usability problems backed by evidence for design iterations
- User Research Leads — analyzing multi-session or multi-participant studies to track patterns across projects
- Stakeholders/Executives — translating raw research into actionable, business-aligned recommendations
Best For
- Post-test synthesis after 5+ moderated usability sessions
- Mixed-methods studies combining qualitative notes with quantitative metrics (SUS, task completion, time-on-task)
- Remote unmoderated testing analysis with 50+ participants and interaction logs
- Iterative testing rounds tracking issue persistence or resolution across versions
- Stakeholder presentations requiring evidence-backed, ranked recommendations
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