Product design question
Design a wearable for health workers. Assume you are the PM for a company that builds smart watches for elite athletes. The company now wants to build for health workers.
- Razorpay
- Product design
- Medium
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What this question tests
Product design that adapts an existing hardware platform to a new user segment, checking whether you understand how needs diverge between athletes and health workers.
How to approach it
- Define the new user: health workers like nurses or paramedics, who need reliability and safety monitoring, unlike athletes who prioritize performance metrics.
- Identify the core divergence: athletes want performance optimization data, while health workers need fatigue and exposure monitoring during long, physically demanding shifts.
- Prioritize fatigue and safety alerts over performance analytics, since burnout and exposure risk are the dominant health worker concerns, not athletic performance.
- Propose features: continuous fatigue-indicator tracking through heart rate variability, a discreet emergency alert button, and shift-length exposure warnings for high-stress environments.
- Address the environment: ensure the watch is durable and easy to sanitize, and works reliably through glove use or frequent hand-washing, unlike a typical athletic wearable.
- Define success as adoption among health worker pilot groups and a measurable reduction in reported fatigue-related incidents.
What a strong answer includes
- Names the specific divergence, performance optimization versus fatigue and safety monitoring, rather than assuming the same features apply to both groups.
- Proposes features grounded in health worker realities, like glove compatibility and emergency alerts, not just repackaged athletic metrics.
- Ties success to a safety outcome, fatigue-related incidents, appropriate for this specific user group's actual risk.
Common mistakes
- Simply porting existing athletic features to health workers without redesigning for their fundamentally different needs and environment.
- Ignoring practical environmental constraints like glove use, sanitization needs, and long shift durability.
Likely follow-up questions
- How would you validate the fatigue-detection algorithm's accuracy for this specific user group?
- How would pricing and distribution differ for a hospital system buying in bulk versus individual consumers?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop