How does this complement our existing UserTesting, Maze, or Hotjar setup?

Those tools are strong at scale, unmoderated tasks, and session replay. OpenScouter sits alongside them for the deep behavioural studies where you need correlated voice, clicks, and expression on the same timeline. We are a complement, not a replacement.

Why neurodivergent participants for general usability research?

Participants with ADHD, autism, dyslexia, and low vision encounter friction earlier and articulate it more directly during think-aloud. Issues they surface almost always affect the wider user base too, which is why we treat the panel as a higher-signal usability panel first.

Is the facial expression data sent to a cloud model?

No. Facial expression is processed locally on the participant device using on-device computer vision. Only the derived signal timeline is shared, which keeps the study compatible with stricter privacy reviews.

Can findings support Consumer Duty or European Accessibility Act preparation?

For FCA-regulated firms working under Consumer Duty PS22/9, our reports provide behavioural evidence of consumer understanding and support outcomes. For teams preparing ahead of the European Accessibility Act deadline and its national transpositions such as the German BFSG, the cognitive accessibility findings are evidence, not legal opinion.

How long does a study take end to end?

From brief to human-confirmed report is typically days, not months. Recruitment, sessions, three-stream capture, AI correlation, and researcher review are sequenced so your roadmap is not held hostage to a long fieldwork window.

Behavioural research vs traditional user testing for research teams

Traditional usability tests tell you what users did. Behavioural research tells you why. OpenScouter captures clicks, voice, and facial expression in parallel, then correlates them into evidence research teams can defend to stakeholders.

Try OpenScouter for Free All research methods

What this shift means for research teams

As a research lead, you are asked to produce findings that product, design, and engineering will actually act on. Survey scores and session replays alone rarely close that loop. Stakeholders push back with the same line every quarter: how do we know this issue is real, and how do we know it matters to revenue?

Traditional moderated testing surfaces what a participant clicked and what they said when prompted. It often misses the gap between stated preference and observed hesitation. For research teams running mixed-methods programmes, that gap is exactly where conversion, retention, and accessibility complaints live.

You also need evidence that holds up under scrutiny from legal and compliance, particularly for FCA-regulated firms working under Consumer Duty PS22/9, and for product teams preparing for the European Accessibility Act as it is transposed into national law such as the German BFSG. Qualitative quotes are not enough. You need correlated behavioural signal.

Our approach

Three streams, captured in parallel

Interaction signals, concurrent think-aloud voice, and facial expression processed on-device. Research teams get three independent views of the same task moment, not three separate studies stitched together after the fact.

AI correlation, human confirmation

Our pipeline aligns rage clicks with hesitation in voice and confusion in expression, then a researcher confirms each finding before it reaches your report. You can cite the evidence in a stakeholder review without caveats.

A higher-signal panel

Sessions run with neurodivergent participants, including people with ADHD, autism, dyslexia, and low vision. They surface usability issues that neurotypical panels routinely miss, which sharpens findings for the whole user base, not only accessibility cohorts.

What you receive

A study brief aligned to your existing research ops cadence and ResearchOps repository conventions
Remote sessions with vetted neurodivergent participants, recruited against your target journey
Three-stream recordings with synchronised clicks, voice, and facial expression timelines
A human-confirmed findings report mapping each issue to the task step, the behavioural evidence, and a suggested fix
Raw clips and tagged moments you can drop into Dovetail, Notion, or your existing insights repository

Evidence

Concurrent think-aloud is the canonical usability method for surfacing the reasoning behind observed behaviour during task performance, complemented by observed interaction signals and retrospective recall

Nielsen Norman Group, Thinking Aloud, the number 1 usability tool · 2012

For research teams, this matters because the methodological backbone of OpenScouter is not a novel claim, it is the established usability tradition. Concurrent think-aloud has long been treated as the canonical method for understanding the reasoning behind observed behaviour, and Nielsen Norman Group's position reinforces that pairing voice with observed interaction is the right way to interpret task performance. What is new is the ability to run that pairing remotely, at the cadence a modern product team needs, with facial expression added as a third corroborating stream and a human researcher confirming every finding before it reaches your stakeholders.

Frequently asked

How does this complement our existing UserTesting, Maze, or Hotjar setup?: Those tools are strong at scale, unmoderated tasks, and session replay. OpenScouter sits alongside them for the deep behavioural studies where you need correlated voice, clicks, and expression on the same timeline. We are a complement, not a replacement.
Why neurodivergent participants for general usability research?: Participants with ADHD, autism, dyslexia, and low vision encounter friction earlier and articulate it more directly during think-aloud. Issues they surface almost always affect the wider user base too, which is why we treat the panel as a higher-signal usability panel first.
Is the facial expression data sent to a cloud model?: No. Facial expression is processed locally on the participant device using on-device computer vision. Only the derived signal timeline is shared, which keeps the study compatible with stricter privacy reviews.
Can findings support Consumer Duty or European Accessibility Act preparation?: For FCA-regulated firms working under Consumer Duty PS22/9, our reports provide behavioural evidence of consumer understanding and support outcomes. For teams preparing ahead of the European Accessibility Act deadline and its national transpositions such as the German BFSG, the cognitive accessibility findings are evidence, not legal opinion.
How long does a study take end to end?: From brief to human-confirmed report is typically days, not months. Recruitment, sessions, three-stream capture, AI correlation, and researcher review are sequenced so your roadmap is not held hostage to a long fieldwork window.