Instead of letting a necessary security feature (like verifying an email change) become a frustrating dead end for a user, proactively guide them to a human solution. Providing a direct line to customer service for these edge cases maintains the feeling of care and can even generate valuable feedback.
MedTech companies often focus on pitching their solution's features. A more effective strategy for gaining trust and adoption is to first demonstrate a deep understanding of the user's (clinician, patient, admin) specific problems and pain points. This builds credibility and makes the solution itself more believable.
Product features inevitably change due to compliance or technical hurdles. To preserve a product's core vision, leaders should rally their team around a 'banner' that defines the ultimate, revolutionary change in a user's life. This vision is more resilient to compromise than a feature list.
Indecision is more damaging than a bad decision because it doesn't just waste time; it dramatically reduces the team's available options. Delaying a hard choice (e.g., on a compliance issue) eats up the time needed to develop creative workarounds, forcing last-minute cuts to essential elements.
When implementing AI in health tech, focus on applications with a low error rate that demonstrably make the user's life better, like improved search. Users are sensitive to and will reject AI that seems primarily aimed at cutting company costs, such as replacing human customer service, as it breaks trust.
The UX team's work is not finished when mockups are approved and handed to development. They must remain actively involved to handle the constant, small negotiations and compromises that arise from real-world technical and compliance obstacles, ensuring the final product preserves the intended user experience.