Raising Google Maps Engagement: Segment Choice, Feature Ideas and Metrics
Company: Flipkart
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You are a product manager on Google Maps, and your goal is to raise engagement. How would you go about it?
```hint Define engagement for a utility
People often open Maps only to get somewhere, and a faster route means less time in the app. Decide which kind of engagement signals real value before choosing users and features.
```
### Clarifying Questions
- Does engagement mean more people using Maps, the same people using it on more days, or deeper use such as saving, reviewing and exploring places?
- Is the scope the whole Maps product across phone, web and in-car, or one area such as navigation or local discovery?
- Is there a time frame for showing results, and is the engagement goal ultimately meant to support local ads revenue?
- Can I propose new features, or should I improve what Maps already offers?
### What a Strong Answer Covers
- A definition of engagement that fits a utility product, including why time spent is a poor target for navigation
- Maps users segmented by job (commuting, navigating somewhere new, discovering local places, travel planning) and a justified choice of one
- Pain points of that segment, and solutions that bring users back repeatedly rather than once
- Prioritization by impact and effort, ending in a clear MVP
- Success metrics with guardrails for driver distraction, location privacy and notification fatigue
### Follow-up Questions
- How would you tell whether your feature created new engagement or only moved activity over from Google Search?
- Your launch raises sessions per user, but user satisfaction scores fall. What do you do?
- Which part of your plan depends on location history, and how does it work for users who turn that off?
Overview: A product strategy question asking how a product manager would raise engagement on Google Maps. It tests defining engagement for a navigation utility, segmenting users by their needs, choosing a target group, prioritizing feature ideas, and setting success metrics with privacy and safety guardrails.