Product design question
Design a consumer feature using Project Astra (real-time multimodal assistant).
- Google DeepMind
- Product design
- Hard
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What this question tests
Product design for a genuinely novel interaction paradigm, real-time multimodal understanding, rather than a text chat feature.
How to approach it
- Clarify the unique capability: Astra can see and hear the world continuously through a camera and microphone, understanding context in real time, unlike a typed query.
- Identify a high-value use case: a visual assistant for everyday tasks, like identifying an object, translating a sign in real time, or guiding a repair step by step while watching the user's hands.
- Design the interaction to be low-friction: always-listening within a session, responding proactively when it notices something relevant, rather than requiring a typed prompt for every question.
- Address privacy directly: clear, visible indicators when the camera and microphone are actively processing, and easy one-tap pausing.
- Define success: task completion rate for guided real-world tasks, and session length as a proxy for sustained, natural interaction rather than one-off queries.
What a strong answer includes
- Grounds the feature in Astra's actual unique capability, continuous real-time multimodal perception, rather than a text-based feature that happens to use a camera once.
- Proposes a concrete, high-value use case, step-by-step guided repair or real-time translation, that clearly benefits from continuous visual context.
- Designs proactive, low-friction interaction as the core UX, since typing to a camera-based assistant defeats its main advantage.
- Addresses privacy with visible, simple controls as a first-class design requirement, not an afterthought, given the always-on nature of the capability.
Common mistakes
- Designing a feature that is really just visual search, underusing Astra's real-time, continuous understanding capability.
- Ignoring privacy design for an always-listening, always-watching feature, which is a significant trust barrier.
Likely follow-up questions
- How would you handle battery and performance constraints for continuous camera and microphone use?
- What would you do if users found the proactive responses intrusive rather than helpful?
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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