Design metrics for AI-powered search

Last updated: December 3, 2025

Quick Overview

What metrics would you use to measure the success of onboarding flow? How would you set up tracking?

Atlassian
Product / Decision Making
Product Manager
Atlassian
December 3, 2025
Product Manager
Technical Screen
Product / Decision Making
Hard

240

6

3,146 solved


What metrics would you use to measure the success of onboarding flow? How would you set up tracking?

Atlassian asks this during the Technical Screen 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
  • 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
User research and problem identification
Competitive analysis
Go-to-market strategy
Data-informed decision making
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 validate this idea before committing engineering resources?
  • How would you decide to kill this feature if it's not working?
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