behavioural research
Behavioural Research for Mental Health Apps That Reveals What Users Cannot Say
Mental health app teams face a unique challenge: users in distress rarely articulate what broke their experience. OpenScouter runs remote behavioural sessions with neurodivergent participants and delivers correlated evidence across interaction signals, voice, and facial expression so your team can act on what users actually do, not what they report.
Your Analytics Tell You Where Users Drop Off. They Do Not Tell You Why.
Mental health app product teams are under pressure from multiple directions. MHRA and CQC scrutiny of digital therapeutics is increasing. App store reviewers flag emotional friction. And your own retention data shows users abandoning onboarding, skipping mood-logging flows, or never returning after their first crisis-support session. The numbers confirm the problem exists. They do not explain it.
The users most likely to abandon your app are also the least likely to complete a post-session survey or articulate their frustration in a usability interview. Neurodivergent users, people with ADHD, anxiety, or depression, are disproportionately represented in mental health app audiences and disproportionately underrepresented in standard usability panels. That gap between who you are designing for and who you are testing with is where your biggest usability failures hide.
When you bring findings to your clinical advisory board, your engineering lead, or your commercial stakeholders, qualitative quotes from five users are rarely enough to move a roadmap. You need correlated behavioural evidence: what users clicked, what they said aloud, and what their facial expressions indicated at the same moment. That is the kind of evidence that justifies a redesign of your guided-breathing flow or your crisis-escalation pathway.
Our approach
A Panel Built for Your Actual Audience
OpenScouter recruits neurodivergent participants with ADHD, autism, dyslexia, and related cognitive profiles. For mental health apps, this is not a niche accommodation. It is an accurate representation of who your product serves. Sessions are remote, reducing the performance anxiety that in-person testing introduces, which matters especially when the tasks involve disclosing emotional states or navigating sensitive content.
Three Behavioural Streams Captured in Parallel
Every session captures interaction signals (clicks, scrolls, rage clicks, hesitation patterns), think-aloud voice, and locally processed facial expression data simultaneously. For a mental health app, this means you can see whether a user who says 'this feels fine' is showing signs of frustration at the mood-entry screen, or whether rage clicks on your notification-settings page correlate with verbal expressions of overwhelm. The AI pipeline correlates the streams. A human researcher confirms the findings before the report reaches you.
Reports Your Stakeholders Can Act On
OpenScouter reports are structured as evidence, not opinion. Each finding is tied to the specific moment in the session where the behavioural signals converged. For mental health app teams, that means you can present to a clinical lead, a product director, or an investor with the same document. The report does not require you to translate research into business language. That translation is already done.
What you receive
- A recruitment brief and screener tailored to your app's target user profile, including neurodivergent participants relevant to your clinical or wellness focus
- Remote moderated or unmoderated sessions covering your highest-risk flows: onboarding, mood logging, crisis-support pathways, and notification or reminder interactions
- Correlated three-stream behavioural data: interaction signals, voice transcripts, and facial expression indicators aligned to session timestamps
- A human-confirmed usability report with prioritised findings, severity ratings, and specific journey moments where user experience broke down
- A findings summary formatted for non-research stakeholders, suitable for presenting to clinical advisors, product leadership, or commercial partners
NHS adult ADHD assessment waiting times exceeded five years in some regions in 2024, leaving a generation of professionals self-identifying with ADHD before formal diagnosis
This matters directly for mental health app teams because a substantial portion of your users are navigating your product without a formal diagnosis, relying on your app precisely because clinical services are inaccessible to them. That means the cognitive and emotional profiles of your real user base are more varied, and often more demanding, than your personas suggest. Testing with a neurodivergent panel is not a gesture toward inclusion. It is an accurate reflection of who is actually opening your app on a Tuesday evening because they cannot get an appointment.
Frequently asked
- How does OpenScouter handle the sensitivity of mental health app content during sessions?
- Sessions are remote and self-paced, which reduces the social pressure that in-person testing creates. Participants are briefed on the nature of the tasks before they begin. Facial expression data is processed locally on the participant's device and is never stored as raw video. Our recruitment process screens for participants who are comfortable engaging with mental health themed interfaces. We do not use clinical populations as research subjects without appropriate ethical framing agreed with your team in advance.
- Our app is regulated as a medical device or digital therapeutic. Can OpenScouter support that context?
- OpenScouter produces usability evidence, not regulatory submissions. However, the structured, timestamped behavioural reports we deliver are compatible with the kind of usability documentation that MHRA and NICE expect to see as part of a digital health product's evidence base. If your team is working toward a DTx certification or an NHS procurement process, our reports can form part of your usability file. We recommend you confirm the specific documentation requirements with your regulatory affairs lead.
- Why use neurodivergent testers specifically for a mental health app?
- Neurodivergent users, people with ADHD, autism, dyslexia, and related cognitive profiles, are significantly overrepresented among people who seek mental health support. Designing and testing only with neurotypical users means you are optimising for an audience that is not your primary one. Neurodivergent testers also surface usability issues that neurotypical users overlook entirely, particularly around cognitive load, ambiguous language, and non-linear navigation. They are a higher-signal panel for this vertical.
- How long does a typical engagement take from brief to report?
- Most engagements move from a confirmed study brief to a delivered report within two to three weeks. The timeline depends on the number of sessions, the complexity of the flows being tested, and how quickly your team can provide access to a staging or test environment. We will agree a schedule with you before recruitment begins so your product cycle is not disrupted.
- Is OpenScouter a replacement for our existing research tools or in-house researchers?
- No. OpenScouter is a complement to your existing programme. If you use session-recording tools, in-app surveys, or have an in-house UX researcher, our behavioural sessions add a layer of evidence those tools cannot produce on their own: correlated voice, interaction, and facial expression data from a neurodivergent panel. Your researcher can use our reports as primary evidence in their own synthesis. We are deliberately specialised in this method and do not try to replace the broader research function.
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