Track all your UX research projects in one place with status, methods, and key details.
| Project Name | Status | Research Method | Participants | Start Date | Completion Date | Key Findings |
|---|---|---|---|---|---|---|
| Mobile App Onboarding Study | In Progress | User Interviews, Usability Testing | 12 | 2026-03-01 | 2026-03-15 | Users struggling with signup flow |
| E-commerce Checkout Optimization | Completed | A/B Testing, Analytics Review | 500+ | 2026-02-10 | 2026-02-28 | Reduced cart abandonment by 23% |
| Dashboard Redesign Research | Planning | Surveys, Card Sorting | 25 | 2026-03-20 | - | - |
Collect and organize user interview data with quotes, themes, and actionable insights.
<aside> 💡 AI Tip: Use AI to automatically identify recurring themes and sentiment patterns across interviews.
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| Participant ID | Date | Quote | Theme | Insight | Priority |
|---|---|---|---|---|---|
| P001 | 2026-03-05 | "I couldn't find the save button anywhere" | Navigation Issues | Primary actions need better visibility | High |
| P002 | 2026-03-05 | "The app feels too cluttered" | Visual Design | Simplify UI and reduce information density | Medium |
| P003 | 2026-03-06 | "I love the color scheme but hate the icons" | Visual Design, Iconography | Revisit icon set for better clarity | Medium |
| P004 | 2026-03-06 | "I gave up after three tries" | Usability, Frustration | Reduce complexity in core workflows | High |
Document usability test sessions with task performance metrics and issue severity.
| Test ID | Participant | Task | Success Rate | Time (avg) | Issues Found | Severity |
|---|---|---|---|---|---|---|
| UT-001 | P001 | Complete signup process | 50% | 4m 32s | Unclear CTA placement | Critical |
| UT-002 | P002 | Find product and add to cart | 100% | 1m 15s | None | - |
| UT-003 | P003 | Edit profile information | 75% | 2m 48s | Save button not intuitive | High |
| UT-004 | P004 | Navigate to settings | 25% | 5m 10s | Menu structure confusing | Critical |
<aside> ⚠️ Severity Scale: Critical (blocks task completion) → High (major friction) → Medium (minor inconvenience) → Low (cosmetic)
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Create detailed user personas with AI-suggested attributes based on research data.
| Attribute | Details |
|---|---|
| Name | Sarah Chen |
| Age | 32 |
| Occupation | Product Manager |
| Tech Proficiency | High |
| Goals | Streamline workflow, increase productivity, integrate with existing tools |
| Pain Points | Too many disconnected apps, learning curve for new tools, data privacy concerns |
| Behaviors | Early adopter, reads reviews before purchase, values efficiency over aesthetics |
| Quote | "I need tools that work together seamlessly without me having to think about it." |
| Attribute | Details |
|---|---|
| Name | Mike Rodriguez |
| Age | 45 |
| Occupation | Small Business Owner |
| Tech Proficiency | Medium |
| Goals | Simple solutions, reliable performance, good customer support |
| Pain Points | Complex interfaces, lack of guidance, hidden costs |
| Behaviors | Prefers tutorials, sticks with familiar brands, asks for recommendations |
| Quote | "Just make it easy to use. I don't have time to figure out complicated software." |
<aside> 🤖 AI-Suggested Attributes: Based on interview data, consider adding attributes like "preferred communication channel," "device usage patterns," and "decision-making triggers."
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Organize research findings into themes using affinity mapping techniques.