The challenge
Launching their first browser-based home health self-monitoring device required understanding a complex ecosystem where patients, general health practitioners, and health insurance employees each operated from different psychological frameworks.
Traditional single-audience research couldn’t reveal the interconnected decisions behind healthcare technology adoption. And as a new-to-market product, with no baseline data on preferences, pricing, or optimal product features, there was a lack of insight into how trust moves between stakeholders and where behavioural friction occurs across the four key markets (Germany, the US, the UK, and France).
Cracking the psychology behind complex B2B2C healthcare decisions to reveal how technology gets adopted across patients, practitioners, and insurers.
The solution
We developed Holistic Behavioural Ecosystem Mapping, combining demand-side (patient) and supply-side (practitioner/insurer) psychology across 4,816 respondents.
Using the Theory of Planned Behaviour alongside demographic, health, and career factors, we applied Structural Equation Modelling to show how loss aversion, authority bias, and social proof affected each stakeholder differently.
Choice experiments with conjoint analysis identified the best product design and pricing. They also revealed adoption friction from conflicting psychological drivers, mapped how trust flows between practitioners and patients, and uncovered age × condition effects that drive non-linear adoption patterns.
The impact
The cross-stakeholder behavioural mapping enabled market-specific segmentation strategies addressing distinct psychological profiles in each country.
Choice architecture design allowed messaging that simultaneously addressed patient loss aversion, practitioner authority needs, and insurer risk mitigation biases.
Launch strategy aligned with natural psychological patterns through three-phase behavioural synchronisation: practitioner seeding activated authority bias, patient education enabled trust transfer, and insurance approval triggered social proof cascades.
The research revealed that tech-oriented career paths predicted diagnostic device recommendations while people-oriented paths predicted wellness monitoring recommendations, enabling precise practitioner targeting strategies.
Siemens Healthineers | Manish Deshpande, Global Medical Device and Digital Health R&D Leader
“The ecosystem behavioral mapping revealed insights we never would have discovered through traditional research. This fundamentally changed our go-to-market strategy.”
