Design metrics for AI-powered search
Last updated: December 22, 2025
Quick Overview
What metrics would you use to measure the success of push notifications? How would you set up tracking?
Visa
December 22, 20255
3
3,145 solved
What metrics would you use to measure the success of push notifications? How would you set up tracking?
Visa 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
- 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
How to Approach This
- Start with the user. Who are they, what problem do they have, and what is their current workaround?
- Use a prioritization framework: impact vs effort, RICE scoring, or ICE scoring.
- Define success metrics using the AARRR framework: Acquisition, Activation, Retention, Revenue, Referral.
- 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 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?
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Browse Product QuestionsSample Answer
Problem Framing
The specific problem we are addressing is how to effectively measure the success of push notifications within Visa's AI-powered search feature. Push notifications should enhance user engagement and pr...
User & Market Context
The primary users for Visa's push notifications are consumers using Visa cards and merchants utilizing Visa's payment solutions. For consumers, notifications should provide real-time updates about the...
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