Introduction
The sudden 50% decrease in daily active users for Tinder's "Super Like" feature is a critical issue that demands immediate attention and thorough analysis. This significant drop in engagement could have far-reaching implications for user satisfaction, revenue, and overall platform health. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was a UI update. Impact on approach: If true, I'd focus on the UI change as a primary hypothesis.
Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The decrease is more significant among users aged 18-24. Impact on approach: I'd prioritize investigating factors affecting younger users.
Why it matters: Price changes can significantly impact feature usage. Expected answer: No recent price changes. Impact on approach: If true, I'd focus more on non-pricing factors.
Why it matters: Public perception can dramatically affect feature usage. Expected answer: Some viral tweets criticizing "Super Likes" last week. Impact on approach: If confirmed, I'd investigate the impact of negative publicity.
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