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Set up personas like a qual study

  • Build personas from real research data. Upload interview transcripts, survey exports, or research docs and let Versive distill them — a persona grounded in real quotes and numbers behaves far more specifically than one written from imagination.
  • Treat personas like human qualitative research. You can learn from a sample size of one — a single run will surface real issues. But aim for 3–5 executions per persona so the aggregated summary can group findings and show you which ones are stable versus one-off.
  • Test with more than one persona. Results are attributed per persona, so running your skeptical novice alongside your power user shows you where their experiences diverge.

Scope the test tightly

  • Test small flows and tasks, not open-ended tours. “Sign up and invite a teammate” produces attributable findings; “explore the app” produces noise. Run several small tests instead of one big one.
  • Keep Figma files clean. Import only the frames you actually want tested, in the order you want them seen — stray exploration screens and dead-end frames read as usability failures.
  • Have placeholder content? Turn on the content-accuracy flag. The ignore content accuracy setting tells the AI to disregard lorem ipsum and dummy data and focus on structure and flow — without it, placeholder content gets flagged as confusing.

Pick the right mode

  • Conversational tests simulate real user interviews. Use them when you want reactions, expectations, and the why behind problems — and add a per-screen interview script for the screens you’re most worried about.
  • Expert audits give design-review-style feedback. A systematic pass against Nielsen’s heuristics (or your own design-system rules as custom heuristics) — great before design reviews.
  • Use SUS to compare across concepts. Enable the SUS questionnaire on a fixed test setup and re-run it per concept or design iteration — the 0–100 score gives you a consistent yardstick. Read it relatively (A vs. B), not as an absolute benchmark.

Iterate inside the project

  • Add more test runs anytime. A project isn’t one-and-done — after reading the first results, add runs with new personas or more executions to the same project and regenerate the summary.
  • Test iterations in the same project. When the design changes, run a new round of tests in the same project with the same personas — comparing rounds shows you whether the fixes actually landed.

Know what AI tests are best at

AI tests excel at uncovering usability, product, and design improvements — confusing flows, unclear copy, missing affordances, heuristic violations — in minutes instead of weeks. Treat findings as hypotheses ranked by likelihood: for higher-risk decisions, or research into real-world behavior, attitudes, and willingness to pay, validate with real participants in a study.