The all-in-one UX research platform

Every research method you need in one place with faster setup, flexible recruiting, and AI-powered synthesis.

Every method in one platform

All research methods in one workflow: card sorts, tree tests, surveys, prototypes, interviews, and more.

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Launch studies in minutes

Skip the manual setup. Use AI and import tools to generate strong first-draft studies fast, then refine instead of rebuilding from scratch.

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AI that learns from your research repository

All your studies and participant data in one place, so AI can connect the dots across your full research history.

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17,214 researchers, designers, PMs, and educators use UX Metrics to understand their users across startups, enterprises, universities, and public sector teams.

Every method in one platform

No app switching and far less manual setup. Use built-in AI and import tools to launch strong draft studies faster.

Recruit your way, at any stage

Use your own users, invite from your panel, or start with whoever you can reach. UX Metrics supports the participant workflows you have now and as you grow.

Live intercepts on your site

Invite people while they are using your product so your panel reflects real users and real workflows.

Run studies in product context

Launch studies inside your product environment where behavior and decisions are closest to production reality.

Targeted invites from participant pool CRM

Filter your panel and send focused invites to participants who match each study goal.

Shareable study links

Publish a single link and recruit wherever your audience already spends time.

Channel-agnostic recruiting

Recruit from social, newsletters, communities, support channels, or partner networks with the same study link.

Centralized responses and analysis

Even when recruiting from everywhere, responses stay in one repository for easier synthesis and follow-up.

AI powered by your full research context

Keep every study, participant profile, and finding in one repository. As your context compounds, AI surfaces cross-study patterns and recommends next steps automatically.

Before

  • Study data scattered across tools
  • Participant context lost between projects
  • Synthesis done manually, one study at a time

After

  • All studies and participant data in one repository
  • Institutional research context compounds over time
  • AI connects patterns across studies and recommends next steps

Start doing user research today

Run every method in one place, launch faster with AI and imports, recruit your way, and turn results into next steps with AI-powered synthesis.