Product design question
how would you improve google translate?
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What this question tests
Tests prioritization of a concrete improvement for a translation product, tied to a real accuracy or usability gap rather than generic polish.
How to approach it
- Clarify the use case: casual phrase lookup, real-time conversation, or document translation, since Google Translate serves all three differently.
- Identify a real gap: translation accuracy drops sharply for idiomatic expressions, slang, and low-resource languages compared to major language pairs.
- Segment users: travelers needing quick, casual phrases versus professionals needing precise document or business translation.
- Propose a concrete fix: contextual translation that shows multiple possible meanings with usage notes (formal versus casual, regional variant) instead of one flat translation.
- Prioritize improving low-resource language quality over adding new features to already-strong language pairs, since that's where user trust breaks down most.
- Define success as reduced re-translation or correction rate and higher user-reported confidence in translations.
What a strong answer includes
- Picks a specific, verifiable weakness, low-resource language accuracy and idiomatic nuance, instead of vague more accurate answer.
- Distinguishes casual travelers from professional users, since their tolerance for imperfect translation differs.
- Uses illustrative numbers as assumptions: assume translation quality for major language pairs is rated highly while low-resource languages lag well behind.
- Proposes showing translation alternatives with context instead of a single rigid output, which is a known real limitation of machine translation.
Common mistakes
- Proposing generic UI changes disconnected from actual translation quality issues.
- Treating all languages as equally well-served by current models.
- Not defining a segment-specific success metric.
Likely follow-up questions
- How would you prioritize which languages to improve first?
- How do you handle a translation that's technically correct but culturally inappropriate?
- What metric would show translation quality actually improved?
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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