Product design question
If you had to build a health monitoring feature in a smartwatch, how would you approach it?
- Samsung
- Product design
- Medium
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What this question tests
Tests product design for a data-sensitive wearable feature: can you balance genuine health value against accuracy limitations and regulatory caution appropriate for consumer health hardware.
How to approach it
- Clarify scope: a health feature on a consumer smartwatch, not a certified medical device, so the design must be clear about what it can and cannot diagnose.
- Identify the target use case: passive tracking of a signal like heart rate variability or sleep quality, giving everyday insight without claiming diagnosis.
- Design the core experience: background tracking with a simple daily summary plus trend view over weeks, since one data point is less useful than a pattern.
- Address accuracy limits directly: wrist-based sensors have known limits from movement and skin tone, so the design should communicate confidence, not precise readings.
- Address regulatory caution: avoid diagnostic claims without regulatory clearance, frame features as general wellness insight, and escalate to 'consult a doctor' on anomalies.
- Define success as consistent daily wear rate and, where relevant, self-reported improvement in a tracked habit like sleep consistency.
What a strong answer includes
- Explicitly distinguishes wellness insight from medical diagnosis, showing regulatory awareness relevant to consumer health hardware.
- Names a real accuracy limitation of wrist-based optical sensors, showing the design accounts for genuine hardware constraints.
- Proposes a trend-based summary rather than a single noisy data point, how real wearable health features are actually designed.
- Picks a metric tied to consistent wear and behavior change, not raw accuracy, since the value is habit formation.
Common mistakes
- Designing a feature that implies medical diagnosis capability without addressing regulatory constraints or accuracy limitations.
- Ignoring known hardware limitations of wrist-based sensors, presenting all readings as precise and reliable.
- No mention of how to keep users wearing the device consistently, which is required for any trend-based health feature to work.
Likely follow-up questions
- How would you handle a reading that suggests a potential serious health issue?
- How would you validate the accuracy of your sensor data before shipping this feature?
- How would this feature differ for an older user focused on health monitoring versus a younger athlete focused on performance?
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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