See whether people can actually use it.
UX research at Klymeo is task-based: participants get a concrete task, the AI moderates the interview and probes the why — meanwhile Klymeo quietly measures behaviour (clicks, scrolling, time, friction) and assesses whether the task was completed against your success criterion. Purely behavioural, no biometrics.
Best for: Product, UX and design teams who want to know — before rolling out — whether a flow, prototype or concept actually works, not just whether people like it.
Example evaluation
What the participant sees
Your task
Find the notification settings in the app and turn off the weekly summary.
Noted: task completed ✓
What you get as a researcher
Usability-Ergebnis
Success criterion: Participant opens the notification settings and saves the change.
- Outcome
- Completed
- Time on task
- 73 s
- Clicks
- 12
- Friction points
- 1
Illustration of the real usability evaluation — no real participant data. Purely behavioural, no emotion or biometric analysis.
From the task to an evidenced usability result.
Four connected steps — from the defined task to the server-computed result. Recruited by link, your own pool or a panel, with no moderator.
- 1Set up
Define the task & success criterion
LiveSet a concrete task in the study and describe what makes success measurable. The success criterion stays researcher-side — participants only ever see the task itself.
- 2Run
The participant completes the task
LiveThe task appears as a card beside the AI interview. With consent, Klymeo records the interaction — clicks, scrolling, dwell time — and the person explicitly marks “done” or “couldn't” at the end.
- 3Measure
Behaviour & success — computed server-side
LiveKlymeo computes server-side: outcome, time on task, click count and friction from rage-clicks. An AI verdict additionally assesses against your success criterion — separate from the behavioural signal, never overriding it.
- 4Analyze
Usability result per session & study
LiveA result card per interview; across the study a success rate with average time, clicks and friction rate — aggregated only once there are enough sessions, never traceable to a single person.
What UX Research delivers, concretely.
Every capability works on real behaviour from real people — from the task to the aggregated usability result.
Task & success criterion
Define a concrete task and its success criterion. Participants see the task as a card in the interview; the criterion stays researcher-side.
Behavioural signals, computed server-side
Clicks, scrolling and time on task are captured quietly during the interview and distilled into metrics server-side — not estimated by the model.
Spot friction
Rage-clicks — several rapid clicks on the same spot — are flagged as friction points. A behavioural signal, not affect.
AI success verdict
An AI model assesses from the transcript whether the task was completed against your criterion — as a second opinion in its own field. The authoritative success signal stays behavioural.
Usability metrics per study
Across all sessions: success rate, average time on task, average clicks and friction rate — aggregated above a minimum count, never traceable to a single person.
AI-Act- & GDPR-clean
Behaviour only — no emotion recognition, no biometrics, granular consent. Hosted in the EU, no US cloud.
What does your market want? Needs, brand, concept and creative — evidenced in the conversation, not derived from hypotheses.
Who are your users — and why do they behave the way they do? Discovery in-depth interviews on the same engine, before you build.
Evidenced personas, distilled from real interviews rather than invented.
The engine behind every use case: AI interviews, Voice Agent, Stimulus, screening, synthesis with PDF & PowerPoint export.
Test whether your flow actually works.
Book a demo and see how Klymeo measures task success and friction from real behaviour — evidenced, not assumed.