Diagnose a drop in retention

Last updated: August 14, 2025

Quick Overview

The engagement dropped by 15% this week. Walk through your investigation process.

MongoDB
Product / Decision Making
Data Scientist
MongoDB
August 14, 2025
Data Scientist
Take-home Project
Product / Decision Making
Easy

278

5

4,590 solved


The engagement dropped by 15% this week. Walk through your investigation process.

MongoDB asks this during the Take-home Project to assess your product sense and structured thinking. They want to see how you define the problem, identify the target user, prioritize features, and measure success.

What the Interviewer Expects
  • Identify the target user and their core problem
  • Propose reasonable solutions with basic prioritization
  • Define 2-3 key success metrics
  • Consider basic trade-offs and risks
Key Topics to Cover
User research and problem identification
Success metrics and KPIs
Prioritization frameworks (RICE, ICE)
Competitive analysis
How to Approach This
  1. Start with the user. Who are they, what problem do they have, and what is their current workaround?
  2. Use a prioritization framework: impact vs effort, RICE scoring, or ICE scoring.
  3. Define success metrics using the AARRR framework: Acquisition, Activation, Retention, Revenue, Referral.
  4. 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 competitive response would you expect and how would you prepare?
  • How would you decide to kill this feature if it's not working?
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Sample Answer
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