behavioural research
Behavioural Research for Telehealth Onboarding
Telehealth platforms lose patients at the moments that matter most: identity verification, consent forms, symptom questionnaires, and first appointment booking. OpenScouter runs remote behavioural research sessions with neurodivergent participants to show you exactly where onboarding breaks and why.
Where Telehealth Onboarding Breaks and What It Costs You
The activation funnel for a telehealth service is unusually demanding. A new patient must complete identity checks, read and sign clinical consent documentation, answer structured symptom questionnaires, and book an appointment, often in a single session, often on a mobile device, often when they are already anxious or cognitively stretched. Each of those steps is a drop-off point. Most product teams can see where patients leave in their analytics. Very few can see why.
Behavioural research is the diagnostic method that closes that gap. Watching a real person attempt to complete your onboarding, hearing what they say aloud, seeing where they hesitate, and capturing the micro-expressions that accompany confusion gives you evidence that a funnel chart cannot. That evidence is what turns a hypothesis about a broken consent screen into a specific, actionable design change.
For telehealth services operating under CQC registration in England, or preparing for obligations under the NHS App and digital health procurement frameworks, the quality of the patient onboarding experience is not only a commercial question. It is a clinical governance question. Patients who abandon onboarding before completing consent or symptom capture are patients who do not receive care. Fixing onboarding is fixing access.
Our approach
Three Behavioural Streams Captured in Parallel
Every OpenScouter session records interaction signals (clicks, scrolls, rage clicks, hesitation pauses), a think-aloud voice track, and facial expression data processed locally on the participant's device. For telehealth onboarding, this means you see not just that a participant abandoned the consent form, but that they re-read clause three twice, said 'I don't understand what this means for my GP record', and showed a visible expression of uncertainty before closing the tab.
Neurodivergent Participants as a Higher-Signal Panel
Neurodivergent testers, people with ADHD, autism, dyslexia, and other cognitive differences, surface usability failures that neurotypical participants navigate around without noticing. In a telehealth context, where symptom questionnaires use clinical language and consent forms carry legal weight, cognitive load issues are especially consequential. Our panel does not just represent an accessibility demographic. It represents the patients most likely to abandon a demanding onboarding flow.
Human-Confirmed Reports Your Clinical and Product Teams Can Act On
AI correlation across the three streams produces a draft insight set. A human researcher reviews and confirms every finding before the report is delivered. Reports are structured around specific onboarding steps, with annotated session clips and prioritised recommendations. Your product team gets evidence. Your clinical governance team gets documentation. Neither gets a raw data dump to interpret themselves.
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
A significant and growing share of adults seeking telehealth mental health or neurodevelopmental services arrive at onboarding already self-identified as neurodivergent, having waited years for formal NHS assessment. According to NHS England's 2024 ADHD services improvement summary, NHS adult ADHD assessment waiting times exceeded five years in some regions, leaving a generation of professionals self-identifying with ADHD before formal diagnosis. For telehealth platforms, this is directly relevant to onboarding design: these users are not occasional edge cases. They are a substantial and motivated segment of your inbound patient population. They are also the users most likely to encounter friction with dense consent language, multi-step symptom questionnaires, and time-pressured booking flows, and most likely to abandon if that friction is not resolved. Designing onboarding without testing it on this population is designing for a user who does not represent your actual patient mix.
What you receive
- Recruitment and scheduling of neurodivergent participants matched to your patient demographic
- Moderated or unmoderated remote sessions covering your full onboarding flow from registration through to first appointment booking
- Three-stream behavioural data capture: interaction signals, think-aloud voice, and on-device facial expression
- AI-correlated, human-confirmed insight report structured by onboarding stage with annotated session clips
- Prioritised recommendations tied to specific screens and journey steps, ready for your next sprint
Frequently asked
- Which telehealth onboarding steps do you typically cover in a session?
- We scope sessions to match your actual funnel. Common steps include account creation and identity verification, clinical consent and data-sharing agreements, symptom or intake questionnaires, appointment type selection, and first booking confirmation. We can cover the full flow or focus on a specific stage where your analytics show the highest drop-off.
- Does CQC registration affect what we can test or how findings are used?
- CQC registration governs clinical service delivery, not the conduct of usability research on your onboarding interface. OpenScouter sessions are observational research, not clinical trials or patient safety assessments. Our reports are usability evidence, not clinical opinion or legal advice. If your governance team has specific questions about research ethics or data handling, we are happy to provide documentation to support their review.
- Are your participants actual patients or recruited testers?
- Participants are recruited from our neurodivergent panel, not from your patient population. They interact with your onboarding flow as a new user would, without access to real clinical records. This keeps the research clean and avoids any data protection complexity around patient data under UK GDPR. If you want to supplement panel sessions with research involving your own patients, that requires a separate ethics and consent process that sits outside our standard engagement.
- How do you handle the sensitive nature of telehealth content during sessions?
- Participants are briefed that they will encounter health-related content, including consent language and symptom questions, and they consent to the session before it begins. Facial expression data is processed locally on the participant's device and is not transmitted or stored as raw video. Think-aloud recordings are handled under our standard data processing agreement. We can provide a data processing addendum for your DPO to review ahead of engagement.
- We already use session recording tools on our platform. Why do we need OpenScouter?
- Session recording tools show you aggregate behaviour across your existing user base. They cannot tell you what a user was thinking, what they said aloud, or what their expression revealed at the moment of confusion. They also cannot recruit a specific participant profile, such as adults with ADHD navigating a symptom questionnaire, and observe them in a controlled, structured session. OpenScouter is a complement to your existing analytics stack, not a replacement for it.
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