Behavioral question
How would you make something significantly simpler for a customer?
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
Tests whether you can tell a concrete, structured story about simplification, showing real product judgment, not just effort.
How to approach it
- Pick a real, specific example from your experience with a clear before-and-after, ideally involving a multi-step or confusing flow.
- Describe the situation: what made it complex for the customer, using a specific pain point like drop-off at a certain step or repeated support tickets.
- Explain the action you took: what you removed, combined, or automated, and why you chose that specific simplification over alternatives.
- State the result with a number: reduced steps, drop-off rate improvement, or support ticket reduction.
- Note what you'd confirm if the question is about a hypothetical: which specific flow or customer segment to focus on.
What a strong answer includes
- Uses a real STAR-shaped story with a specific flow (e.g. checkout, onboarding) rather than a generic 'I made things easier' claim.
- Quantifies the result, e.g. assume steps went from 7 to 3 and completion rate rose from 60% to 78%.
- Explains the tradeoff made to simplify, like removing an optional field that some users wanted but most didn't use.
- Shows it was validated with data or user feedback, not just a personal guess at what's simpler.
Common mistakes
- Giving a vague answer with no specific flow, metric, or before-and-after comparison.
- Taking full individual credit without mentioning how design, engineering, or research contributed.
Likely follow-up questions
- What tradeoff did you have to accept to make it simpler?
- How did you validate that the simpler version was actually better for the customer?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 13: Lead the room: staff moves, forward-deployed PM, and the portfolio
- Chapter 14: Get the job: the AI PM interview loop