Product design question
As a PM for Alexa, you want to increase engagement for kitchen use. What would you do?
- Amazon
- Product design
- Medium
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What this question tests
Whether the candidate can identify a specific in-context pain point and design a focused improvement for a voice assistant.
How to approach it
- Define the use case precisely: hands and eyes are often busy or messy while cooking, so voice is the primary and sometimes only viable input.
- Name pain points: needing to repeat unit conversions, timers getting lost among multiple simultaneous cooking tasks, and recipes requiring constant re-asking for the next step.
- Prioritize a step-by-step guided cooking mode: Alexa reads one recipe step at a time and waits for 'next' or 'repeat'.
- Add supporting features: multiple named timers running simultaneously, and hands-free unit conversion on request.
- Define success as session length and completion rate for guided cooking sessions, plus repeat use across different recipes.
What a strong answer includes
- Grounds the design in the specific hands-busy, eyes-busy context of cooking, not generic voice assistant features.
- Names multi-timer management as a concrete, high-value pain point specific to cooking multiple dishes at once.
- Defines success with session completion rate, showing whether users actually finish a guided recipe, not just start one.
Common mistakes
- Proposing generic Alexa improvements unrelated to the kitchen context, like better music recommendations.
- Ignoring that users' hands are typically unavailable for touch input in this scenario.
Likely follow-up questions
- How would you handle a noisy kitchen environment affecting voice recognition accuracy?
- What would you measure to know this increased overall Alexa engagement, not just kitchen use?
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More questions from Amazon
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