Diagnose and reverse lagging Tinder user growth in one city as its marketing lead
Company: Google
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You run marketing for Tinder in a single city. Tinder's user base there has fallen behind its expected growth, and lately the numbers have gone down. Put together a strategy that gets Tinder growing in that city again.
```hint Find which flow moved
Split the change in the city's user base into people joining, lapsed users coming back and active users leaving, then work out which of those moved, and for which users, before choosing any campaign.
```
### Clarifying Questions
- Has the number of active users actually fallen, or has only the growth rate dropped below plan?
- Is the user base measured as sign-ups, monthly active users or paying subscribers?
- Are similar cities on plan, or is the slowdown wider than this one city?
- Which levers does the marketing manager control (budget, channels, partnerships, messages to lapsed users), and can product changes be requested?
### What a Strong Answer Covers
- A diagnosis of the decline, checked in a sensible order from data problems to internal and external causes, before any strategy
- A breakdown of the city's users that shows where the decline is concentrated
- Growth plays matched to the diagnosed cause across acquisition, activation, retention and reactivation, in priority order
- How the two-sided nature of a dating marketplace shapes which users to win first
- Success metrics with guardrails, and a way to measure city-level campaigns causally
### Follow-up Questions
- Suppose the diagnosis shows a local rival app is winning younger users. How does your plan change?
- How would you show that a city-wide campaign caused a recovery rather than a seasonal upswing?
- If your budget were cut in half, which parts of the plan would you keep?
Overview: A growth strategy case in which Tinder's user base in one city has lagged its plan and then declined, posed to the city's marketing manager. It tests diagnosing the drop through user inflows and outflows, matching acquisition and retention plays to the cause, two-sided marketplace thinking, and causal measurement of city campaigns.