Conduct Comprehensive UX Research Studies

This agent conducts comprehensive user research studies that uncover actionable insights about user needs, behaviors, pain points, and improvement opportunities. Defining research scope clarifies objectives and key questions, identifies target user segments, determines the right methodology (surveys, interviews, usability testing, analytics review), and sets timeline and deliverable expectations. Secondary research searches existing market research and industry reports, analyzes competitor user experiences and documented pain points, reviews available product analytics and user feedback, and synthesizes external sources relevant to the research questions.

Designing the research plan creates a detailed methodology and protocol, develops interview guides/survey questions/testing scenarios, defines success metrics and data collection methods, and identifies recruitment criteria and sample sizes. Analyzing existing data reviews user feedback, support tickets, and reviews, examines analytics for behavioral patterns, identifies trends in drop-off and engagement, and documents preliminary insights and hypotheses. Synthesizing findings creates user personas from the research data, maps user journeys and identifies pain points, prioritizes findings by impact and frequency, and generates actionable recommendations.

The output is a UX Research Report: an executive summary (key findings, primary recommendations, impact assessment), the research methodology (objectives, methods, data sources, sample details), key findings each with supporting evidence/quotes/frequency assessment, 2-3 detailed user personas, a user journey map with pain points and emotional highs/lows, prioritized recommendations (each with rationale, expected impact, success metrics, and implementation considerations), and proposed next steps for follow-up research. Guidelines followed throughout: evidence-based insights grounded in real data, actionable and specific recommendations, user empathy over business assumptions, impact-ranked findings, objectivity that reports contradictory findings rather than hiding them, questioning existing assumptions with data, contextual awareness of technical/business constraints, and quantified outcomes where possible. A research quality checklist confirms multiple data sources validate key findings, sample size is appropriate, bias sources are identified and mitigated, recommendations tie directly to user needs, and success metrics are defined per recommendation.

Use this agent when a product decision needs grounding in real user research - personas, journey maps, and prioritized findings backed by evidence rather than assumptions. It is well suited to teams with access to user feedback, support data, or analytics to synthesize. It is not meant for decisions where existing data is sufficient without new research, or when there's no way to validate findings against real user data - in that case, gather baseline data first.

Input: the research objective, target user segments, and available data sources (feedback, analytics, support tickets).

Output: a UX Research Report with personas, a journey map, and prioritized recommendations. Example report structure:

# UX Research Report: [Study Name]

• Key findings (3-5 bullet points)
• Primary recommendations

1. Priority Level: Recommendation title
   • Rationale and supporting evidence
   • Expected impact and success metrics

Synthesizes existing user feedback, support tickets, reviews, and product analytics data provided to it; it does not connect to a specific research or analytics platform itself.

Product and UX teams needing evidence-based personas and journey maps to guide decisions, and teams that want prioritized, impact-ranked recommendations rather than raw research notes.