Product design question
Design a Google translate API.
- Product design
- Medium
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What this question tests
Product and technical design thinking for a developer facing API, balancing simplicity, flexibility and clear success metrics.
How to approach it
- Define the primary user, third party developers integrating translation into their own apps, and their core need, reliable and fast translation.
- Specify the core API surface, like a simple text in, translated text out endpoint plus language detection.
- Address key design decisions: synchronous versus batch translation, supported language pairs, and pricing per character or request.
- Consider edge cases, like handling untranslatable text, mixed language input, and rate limiting for abuse prevention.
- Define success metrics, such as API latency, translation accuracy feedback rate, and developer adoption, active API keys.
What a strong answer includes
- Separates the core use cases, like real time chat translation versus bulk document translation, since they need different API shapes, sync versus batch.
- Addresses a concrete technical trade off, like latency versus accuracy for real time use cases.
- Names adoption and quality metrics together, like active developer count and translation accuracy feedback, not just uptime.
Common mistakes
- Designing only the happy path without considering rate limits, abuse, or malformed input.
- Ignoring the difference between real time and batch use cases, which need different API designs.
Likely follow-up questions
- How would you price this API?
- How would you handle low resource languages with less training data?
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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