We identify the hidden behavioural barriers affecting customer decisions, uptake, and retention — using research‑backed frameworks and data‑driven analysis.
But what does that actually mean in practice? And how do we do it?
When business performance stalls—whether it’s a drop in user retention, low adoption of a new digital feature, or a sudden drop-off in a sign-up funnel—the standard response is often to look at the what. Analytics tools will show you exactly where customers are leaving.
What traditional analytics can’t tell you is why.
That is where Behavioural Diagnostics comes in. Instead of guessing or relying on what customers say they will do in focus groups (which is notoriously unreliable), we look at the psychological mechanics driving their actual behaviour.
Here is our practical, three-step framework for diagnosing and fixing behavioural friction:
1. Mapping the Behavioural Journey
Before we can look for barriers, we map the exact, step-by-step actions a user needs to take to achieve a desired outcome. We strip away assumptions and look at the real-world environment. Is the user distracted? Are they experiencing choice overload? Are we asking them to trust us before we’ve built credibility? By breaking the journey down into micro-behaviours, we can pinpoint precisely where cognitive friction occurs.
2. Diagnosing the Barriers (The COM-B Model)
Once we know where the drop-offs are, we apply robust behavioural science frameworks—such as the COM-B model—to understand the root cause. We evaluate three core drivers:
Capability: Does the customer have the physical or psychological capacity to take action? (e.g., Is the information too complex to process quickly?)
Opportunity: Does their environment support the action? (e.g., Are there physical obstacles, or a lack of social proof from peers?)
Motivation: Do they actually want to do it at that specific moment? (e.g., Is status quo bias or loss aversion holding them back?)
By categorising the problem this way, we move from vague guesswork to a precise diagnosis.
3. Data-Driven Validation
We don’t just rely on theory. We validate our behavioural hypotheses using a blend of qualitative user research and quantitative data analysis. We look for the delta between intention and action. This gives us a definitive, evidence-backed picture of the hidden biases and friction points sabotaging your conversion and retention rates.
From Diagnosis to Impact
Identifying the barrier is only half the battle; the real value is in the cure.
By defining the exact psychological roadblock, we can design targeted interventions—whether that’s restructuring a pricing page to reduce choice paralysis, rewriting communications to leverage social proof, or redesigning a user flow to reduce cognitive load.
Ultimately, Behavioural Diagnostics takes the guesswork out of optimization. It ensures that when you invest time and budget into fixing a customer journey, you are solving the actual problem, not just treating a symptom.
Want to uncover the hidden barriers in your customer journey? Get in touch with the Kinnersley Labs team today.