Turn scattered prototype feedback into ranked, evidence-backed UX priorities.
Prototype evaluations generate valuable usability feedback across interviews, surveys, session recordings, observation notes, and customer comments, but organizing that feedback into actionable priorities is often overwhelming. Steeped AI automatically transforms prototype testing data into measurable UX intelligence by identifying recurring usability problems, feature confusion, navigation issues, unmet expectations, and improvement opportunities.
Compare feedback across user segments, product versions, and testing rounds while quantifying which usability issues have the greatest impact on adoption, task completion, and satisfaction. Product teams gain evidence-backed recommendations instead of manually reviewing hundreds of observations.
Use Steeped AI's AI topic mapping to turn hundreds of observations into measurable concepts like navigation issues, feature confusion, and unmet expectations. Quantify which problems recur across users and versions, so the roadmap fixes the issues that actually block task completion.
Turn usability session recordings into clean, structured transcripts with Steeped AI's audio transcription. The moments where a user hesitates or thinks aloud become searchable text, so observation notes and recordings feed the same quantified analysis instead of sitting unwatched.
Apply Steeped AI's journey mapping to trace how a user moves through the prototype from first tap to task completion. See exactly which step loses people, so design effort concentrates on the moment that decides adoption instead of a general satisfaction score.
Search every session and note with Steeped AI's enterprise search engines. Ask where users get stuck and get the exact moments back with citations, so a design decision traces to the participant and step it came from, across every testing round.

Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.