Diagnose a drop in DAU

Last updated: November 27, 2025

Quick Overview

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

Stripe
Product / Decision Making
Data Scientist
Stripe
November 27, 2025
Data Scientist
Onsite
Product / Decision Making
Easy

98

5

1,071 solved


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

This product question from Stripe's Onsite 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
  • 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
Data-informed decision making
Prioritization frameworks (RICE, ICE)
Product strategy and vision
Growth loops and retention
User research and problem identification
User segmentation and personas
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 decide to kill this feature if it's not working?
  • How would you sequence the rollout across different user segments?
  • How would you validate this idea before committing engineering resources?
  • How would you handle pushback from engineering on feasibility?
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