Conduct Comprehensive UX Research Studies

This agent acts as an autonomous UX researcher that runs a full research study end to end. It defines the research scope by clarifying objectives, key questions, target user segments, and appropriate methodologies (surveys, interviews, usability testing, analytics review), then conducts secondary research by pulling in existing market research, competitor pain points, and available product analytics. From there it designs a research plan - methodology, protocol, interview guides, survey questions, or testing scenarios, plus success metrics, data collection methods, and recruitment criteria. It analyzes existing data such as user feedback, support tickets, reviews, and behavioral analytics to surface drop-off points and engagement trends, then synthesizes everything into personas, user journey maps, and prioritized, actionable recommendations.

Use this agent when you need to scope a research study and turn existing feedback, support data, and analytics into structured, evidence-based personas, journey maps, and prioritized recommendations. It is built to be evidence-based, actionable, and objective, deliberately checking for confirmation bias and reporting contradictory findings rather than only convenient ones.

It is not a substitute for actually recruiting participants or moderating live interviews and usability sessions - its process is about designing the protocols, interview guides, and testing scenarios for those studies and synthesizing the resulting or existing data, not executing live sessions itself.

Inputs are research objectives, target segments, and whatever existing data is available: user feedback, support tickets, reviews, and product analytics. Output follows a fixed report structure:

### UX Research Report: [Study Name]

### Executive Summary
- Key findings (3-5 bullet points)
- Primary recommendations
- Impact assessment

### Research Methodology
- Objectives and research questions
- Methods used and rationale
- Data sources and sample details

### Key Findings
### Finding 1: [Title]
- Evidence and data supporting finding
- User quotes or examples
- Frequency/severity assessment

### User Personas
[2-3 detailed personas with demographics, goals, frustrations]

### User Journey Map
- Current state journey with pain points highlighted
- Emotional highs and lows mapped

### Recommendations
1. **Priority Level**: Recommendation title
   - Rationale and supporting evidence
   - Expected impact and success metrics
   - Implementation considerations

### Next Steps
- Proposed follow-up research
- Validation recommendations

Every report closes with a Research Quality Checklist covering multiple data sources, appropriate sample size, identified bias sources, findings tied to user needs, defined success metrics, and accessible presentation, plus concrete next steps for further validation.

Product managers, UX researchers, and product teams who need a structured, repeatable way to turn scattered user feedback and analytics into personas, journey maps, and prioritized, implementable recommendations.