Strategy question
You are about to launch a new app that is of strategic importance for the company. 1 month out from launch internal dogfood suggests that the app isn't ready (you are below target on several key metrics including CSAT). What do you do?
- Strategy
- Hard
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What this question tests
Judgment under launch pressure: balancing a fixed deadline against real quality signals, a common high stakes PM decision.
How to approach it
- Clarify which specific metrics are below target and by how much, since the severity determines the right response.
- Assess the risk of launching as is: reputational damage and user churn if the app underdelivers publicly.
- Assess the risk of delaying: lost market timing, cost, and internal credibility if the date slips.
- Propose a middle path, such as a limited regional or beta launch instead of a full public rollout.
- Recommend fixing the most severe CSAT driver before any broader release, even if the full launch date slips.
- Define the decision criteria: a specific CSAT threshold that must be hit before expanding beyond the limited launch.
What a strong answer includes
- Investigates severity and root cause of the low metrics rather than reacting with a blanket delay or blanket launch.
- Proposes a concrete middle path, a limited or regional launch, instead of an all or nothing decision.
- Sets an explicit threshold, a target CSAT score, that must be met before scaling up further.
- Weighs both risks honestly, reputational damage from launching poorly and cost of delay, rather than ignoring one side.
Common mistakes
- Recommends launching on schedule regardless of the dogfood signal, ignoring real quality risk.
- Recommends delaying with no plan to actually fix the root cause of the low CSAT.
Likely follow-up questions
- How would you communicate a delay decision to leadership who already announced the date?
- What would you do if the root cause cannot be fixed within a reasonable timeframe?
- How would you decide the size of the limited launch audience?
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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