For UX Designers ·
What you'll accomplish
Watching session recordings one at a time and taking notes works fine for two or three participants. Past that, it turns into hours you don't have before the next sprint starts. This guide sets up Maze so a completed usability round produces an AI-summarized findings report you can prioritize from, instead of a stack of recordings you'll get to eventually.
What you'll need
What you should see: A project dashboard with an option to create a new usability test.
What you should see: A test builder showing your task list, with a preview of what participants will experience. Troubleshooting: Keep the task list short. more than five or six tasks per session tends to produce fatigued, less useful responses.
What you should see: A live test link and a dashboard tracking how many participants have started and completed the study.
What you should see: Task completion rates, time-on-task, and individual session recordings populating as participants finish.
What you should see: A report highlighting where participants struggled most, grouped by task or theme, rather than a separate written note for every individual session. Troubleshooting: If the AI summary feels thin or generic, check that you have enough completed sessions. summarization features work better with a meaningful sample rather than two or three responses.
Maze's AI summarization works from your test data rather than a typed prompt, but these framings help you get more out of the review step:
Prioritization framing while reviewing the report: "Which flagged issue affected the most participants, and which one caused an outright task failure versus mild hesitation?"
Cross-checking a summary claim: Open the specific session recording tied to a flagged issue and watch just that segment, rather than assuming the summary captured the full context.
Sprint-ready framing: Turn each flagged issue into a one-line backlog entry: "[Task] failed or stalled for [X of N] participants because [specific friction point]."