behavioural research
Behavioural Research for SaaS Onboarding Flows
Most SaaS products lose users before they reach their first activation moment. OpenScouter runs remote behavioural research sessions that show you exactly where onboarding breaks, who it breaks for, and why. Reports are human-confirmed and ready to act on.
Your onboarding funnel is leaking, and analytics alone cannot tell you where
The drop-off is rarely random. Users abandon during account setup, skip the guided product tour, or reach the first meaningful action and stop. Standard analytics tools tell you the step where the number falls. They do not tell you what the user was thinking, where they hesitated, or what they tried before giving up.
Behavioural research fills that gap. When you watch a real person navigate your onboarding flow while thinking aloud, clicking through your UI, and showing visible signs of confusion or frustration, the cause of the drop-off becomes concrete. You stop guessing and start fixing the right thing.
Neurodivergent users, people with ADHD, dyslexia, or autism, are a higher-signal panel for onboarding research. They surface ambiguous copy, unclear progress indicators, and cognitive overload in ways that neurotypical testers often miss. The issues they find are almost always present for a wider share of your user base than you expect.
Our approach
Three behavioural streams captured in parallel
Every OpenScouter session records interaction signals including clicks, scrolls, and rage clicks, alongside a think-aloud voice track and locally processed facial expression data. The three streams are correlated by an AI pipeline so you see not just what broke but what the user felt at the moment it broke.
Onboarding-specific session design
We design tasks around the specific steps in your onboarding flow: account creation, workspace configuration, the first meaningful product action, and any in-app guidance sequences. Sessions are scoped to the activation journey, not a general usability audit, so every finding maps directly to a funnel stage.
Human-confirmed reports your team can act on
AI correlation surfaces the patterns. A human researcher confirms every insight before the report leaves our platform. You receive structured findings tied to specific onboarding steps, with supporting evidence from voice, clicks, and expression data. No interpretation required on your side.
The median SaaS new-user activation rate is 37.5 percent across product-led growth companies surveyed
The Userpilot 2024 benchmark puts the median new-user activation rate at 37.5 percent across product-led growth companies. That figure matters here because it reframes onboarding failure as the norm rather than the exception. If the median PLG product activates fewer than four in ten new users, the question is not whether your onboarding has friction but where that friction sits and which users it hits hardest. Behavioural research is the diagnostic method that answers both questions at the same time, by showing you the specific step, the specific user type, and the specific moment where the activation journey breaks down.
What you receive
- Structured usability report covering each tested onboarding step, with severity ratings and supporting behavioural evidence
- Annotated session clips showing the exact moments of hesitation, confusion, or abandonment in your flow
- Interaction heatmaps and rage-click summaries mapped to your onboarding UI
- Think-aloud transcript excerpts linked to specific friction points in account setup and activation sequences
- Prioritised recommendations written for product and design teams, ready to take into your next sprint
Frequently asked
- How is this different from running a session on UserTesting or Maze?
- Those platforms give you access to testers and recording infrastructure. OpenScouter adds a neurodivergent panel, three-stream behavioural capture including facial expression processed on-device, and an AI correlation layer that connects what users said, clicked, and felt at the same moment. The output is a structured report, not raw footage you need to analyse yourself.
- Why use neurodivergent testers for onboarding research specifically?
- Onboarding flows are dense with assumptions: that users will read tooltips, understand progress bars, or know what a workspace is. Neurodivergent testers, including people with ADHD and dyslexia, are less likely to compensate for unclear design. They surface the ambiguity that neurotypical testers work around, which means the findings are more actionable for the broader user base.
- Which onboarding steps do you test?
- We scope sessions to the steps you care about most. Common choices include the initial sign-up and email verification sequence, the guided setup or configuration wizard, the first core product action, and any in-app messaging or tooltip sequences. We work from your brief and design tasks that reflect real activation goals.
- How long does a study take from brief to report?
- A standard engagement runs from study brief to delivered report in days, not months. Exact timescales depend on panel recruitment for your target user profile and the number of sessions commissioned. We confirm the timeline before work begins.
- Does OpenScouter replace our existing research or analytics tools?
- No. OpenScouter is a complement to tools like Hotjar, Dovetail, and your product analytics stack. Quantitative data tells you where users drop off. Behavioural research tells you why. The two work together. We are deliberately specialised in the behavioural layer and do not try to replicate what your existing tools already do well.
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Tell us about the vertical, the journey, and the evidence you need. We will scope a pilot in days, not weeks.