Strategy question
If the customer refuses to accept the new product, how will you handle it?
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Tests handling product rejection: diagnosing the real reason before proposing a fix, rather than jumping to a discount or workaround.
How to approach it
- Clarify context: assume one enterprise customer pushing back on a new feature during rollout, not a broad pattern yet.
- Ask why first: talk to the customer to learn if the objection is a real gap, workflow disruption, pricing, or change fatigue.
- Categorize the objection: a real gap needs a roadmap answer, change fatigue needs onboarding support, pricing needs a commercial conversation.
- Offer a bridge, not a rollback: a temporary opt-out or parallel run while the root cause is addressed.
- Check the broader impact: confirm whether this is isolated or represents a wider segment before changing the roadmap.
- Close the loop: communicate the resolution and timeline back to the customer to rebuild trust.
What a strong answer includes
- Diagnoses the specific reason for refusal before proposing any fix, avoiding a generic discount response.
- Distinguishes an isolated complaint from a segment-wide signal before changing the roadmap.
- Proposes a bridge solution, a temporary opt-out, that protects the launch while addressing the concern.
- Closes the loop with the customer, showing relationship management, not just a technical fix.
Common mistakes
- Reverting the launch for one customer without checking if the concern is widespread.
- Assuming the issue is pricing without actually asking the customer.
Likely follow-up questions
- How would you decide if this is a one-off or a broader segment issue?
- What would you do if several customers raised the same objection?
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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