Diagnose a drop in conversion rate

Last updated: May 7, 2026

Quick Overview

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

OpenAI
Product / Decision Making
Product Manager
OpenAI
May 7, 2026
Product Manager
Technical Screen
Product / Decision Making
Medium

6

4

2,518 solved


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

Product questions at OpenAI test your ability to think like a product leader. This Technical Screen question evaluates how you balance user needs, business goals, and technical constraints when making product decisions.

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
Product strategy and vision
Competitive analysis
Data-informed decision making
Success metrics and KPIs
Platform and network effects
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 handle pushback from engineering on feasibility?
  • How would you validate this idea before committing engineering resources?
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