Diagnose a drop in retention
Last updated: July 10, 2025
Quick Overview
The engagement dropped by 15% this week. Walk through your investigation process.
Uber
July 10, 20256
6
2,001 solved
The engagement dropped by 15% this week. Walk through your investigation process.
This product question from Uber's Take-home Project goes beyond feature brainstorming. The interviewer expects a framework-driven approach that considers market dynamics, user segmentation, and data-informed decision making.
What the Interviewer Expects
- Demonstrate strategic product thinking beyond feature-level decisions
- Analyze second-order effects and long-term ecosystem impact
- Balance multiple stakeholder needs with clear trade-off rationale
- Design experiments to validate key assumptions before building
- Consider platform effects, network effects, and marketplace dynamics
- Propose a phased rollout strategy with go/no-go criteria
Key Topics to Cover
How to Approach This
- Start with the user. Who are they, what problem do they have, and what is their current workaround?
- Use a prioritization framework: impact vs effort, RICE scoring, or ICE scoring.
- Define success metrics using the AARRR framework: Acquisition, Activation, Retention, Revenue, Referral.
- Consider second-order effects. A feature might boost short-term engagement but hurt long-term retention.
Possible Follow-up Questions
- How would you sequence the rollout across different user segments?
- What would you do if usage data contradicts user feedback?
- How would you decide to kill this feature if it's not working?
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Framework for Product Thinking
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Detailed Analysis
**User Segmentation**: Different user segments have different needs. Power users want advanced features. New users need simple onboarding. Enterprise ...
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