Diagnose a drop in NPS

Last updated: October 21, 2025

Quick Overview

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

DoorDash
Product / Decision Making
Data Scientist
DoorDash
October 21, 2025
Data Scientist
Onsite
Product / Decision Making
Medium

0

6

91 solved


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

DoorDash asks this during the Onsite 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
  • Apply a structured framework for product thinking (user, problem, solution, metrics)
  • Segment users and identify differentiated needs
  • Prioritize features using a clear framework (RICE, ICE, impact vs effort)
  • Define comprehensive success metrics across the user funnel
  • Consider competitive dynamics and market positioning
Key Topics to Cover
Prioritization frameworks (RICE, ICE)
Go-to-market strategy
Data-informed decision making
Competitive analysis
Growth loops and retention
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
  • What would you do if usage data contradicts user feedback?
  • How would you decide to kill this feature if it's not working?
  • What competitive response would you expect and how would you prepare?
  • How would you validate this idea before committing engineering resources?
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