A UX researcher agent synthesizes user feedback, session data, and support tickets into product insights. It identifies patterns across qualitative and quantitative data and produces research summaries that inform product and design decisions.
This role is most valuable when your product is handling a novel interaction modality or making a significant UX change where assumptions need testing. A role-specific prompt encodes your research methodology, the data sources the agent has access to, and the format for delivering findings to the product and design teams.
What this agent owns
- Analyze support tickets, user interviews, and session recordings for recurring patterns
- Synthesize quantitative funnel data with qualitative feedback to explain drop-off
- Produce research summaries with specific, prioritized findings and confidence levels
- Write usability test plans for new features before they ship
- Track how previously identified issues are addressed over successive releases
Recommended model: Claude Opus
Synthesizing ambiguous qualitative data into reliable insights requires the nuanced reasoning that Opus provides.
Example tasks
- Analyze 50 support tickets about the onboarding flow and identify the top three friction points
- Synthesize session replay observations with funnel drop-off data for a checkout flow
- Write a usability test plan for a new navigation structure before launch
- Produce a research summary on how users discover features they do not know about
# create an agent from this template, then start it
$ fleet agent create --name ux-researcher--vendor claude-code --template <template-name>
$ fleet agent start ux-researcher
Find the exact template name with fleet template list.
