Strategy question
How would you improve Grammarly and what will be your key metrics to measure its improvement?
- Strategy
- Medium
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 combine a product-improvement idea with the specific metrics that would prove it worked, for a writing-assistance product.
How to approach it
- Identify Grammarly's core value: catching errors and improving writing clarity, and where it currently underdelivers, like tone-matching for different contexts (professional email versus casual chat).
- Propose a focused improvement: context-aware tone suggestions that adapt to the specific platform or audience being written for, not just generic grammar fixes.
- Explain why this matters: users already trust Grammarly for correctness, but tone misjudgment is a less-solved, higher-value problem for professional writers.
- Define the primary metric: suggestion-acceptance rate for tone-specific suggestions, since accepted suggestions are the clearest signal of real value delivered.
- Define a secondary metric: weekly active writing sessions per user, as a broader retention signal that the improvement compounds engagement, not just isolated edits.
What a strong answer includes
- Picks a specific, differentiated improvement, tone-awareness, rather than a vague 'make it smarter' answer.
- Explains why the improvement is valuable relative to what Grammarly already does well, showing product judgment.
- Names an acceptance-rate metric, the standard, credible way to measure a suggestion product's real value.
Common mistakes
- Proposing an improvement Grammarly already does well, like basic grammar correction, showing unfamiliarity with the product.
- Naming only a vanity metric like total suggestions shown, rather than suggestions accepted or acted on.
Likely follow-up questions
- How would you validate that tone suggestions are actually landing well, not just being accepted out of habit?
- How would you prioritize this against expanding language support?
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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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop