Should we build AI-powered search?

Last updated: February 22, 2026

Quick Overview

Your team is considering building onboarding flow. How would you evaluate this decision?

Databricks
Product / Decision Making
Product Manager
Databricks
February 22, 2026
Product Manager
Take-home Project
Product / Decision Making
Hard

45

0

3,902 solved


Your team is considering building onboarding flow. How would you evaluate this decision?

Databricks 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
  • 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
Prioritization frameworks (RICE, ICE)
Growth loops and retention
Go-to-market strategy
Platform and network effects
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 handle pushback from engineering on feasibility?
  • What competitive response would you expect and how would you prepare?
  • How would you decide to kill this feature if it's not working?
  • How would you sequence the rollout across different user segments?
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