Product design question
You are a product manager at a start-up whose technology can detect emotions. Evaluate potential applications.
- Product design
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Ability to evaluate multiple product applications of a core technology and prioritize using product sense, not just brainstorm.
How to approach it
- Clarify the technology's input and accuracy, facial expression, voice tone, or text, and its latency, since that bounds feasible use cases.
- List candidate segments: mental health apps, call-center quality monitoring, in-car driver fatigue detection, and ad testing for market research.
- Evaluate each on value delivered, willingness to pay, and ethical risk, since emotion data is sensitive.
- Prioritize call-center quality monitoring: clear ROI from agent coaching and escalation prevention, a B2B buyer, and lower privacy risk than consumer apps.
- Design the MVP: flag calls with rising customer frustration in real time for supervisor intervention.
- Define success as reduced escalated complaints or improved customer satisfaction on flagged calls.
What a strong answer includes
- Picks a B2B, lower-risk starting market, call centers, over flashier but ethically fraught consumer use cases, and explains why.
- Ties the chosen use case to a clear ROI story a buyer would pay for, agent coaching and churn prevention.
- Flags accuracy and bias risk, misreading emotion across accents or cultures, as a real product risk, not just an ethical footnote.
- Proposes a measurable pilot metric instead of stopping at "detect emotions."
Common mistakes
- Brainstorming many applications with no prioritization framework.
- Ignoring accuracy limitations and cultural bias in emotion detection.
- Choosing a consumer use case first without weighing privacy exposure.
Likely follow-up questions
- How would you validate detection accuracy across different demographics?
- What privacy safeguards would you build in before launch?
- How would you price this for a B2B customer?
More product design questions
- Design a TV for a car.Google · Product design · Hard
- Design a refrigerator for the blind.Google · Product design · Hard
- How do you design a camera for the elderly?Google · Product design · Medium
- Redesign Twitter for eCommerce.Shopify · Product design · Hard
- How would you go about designing a new location sharing app for Google?Google · Product design · Medium
- How would you improve Google Home?Google · Product design · Easy
More questions from Google
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