Introduction
The sudden 50% decrease in new premium subscriptions on Match's mobile app last week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for Match's business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.
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 redesign of the subscription flow. Impact on approach: If true, I'd focus on analyzing the new UI and user behavior within it.
Why it matters: Helps identify if the issue is global or specific to certain user types. Expected answer: The decrease is more pronounced among users aged 25-34. Impact on approach: I'd investigate factors specific to this age group's preferences and behaviors.
Why it matters: Price sensitivity can significantly impact conversion rates. Expected answer: No recent price changes. Impact on approach: If true, I'd focus more on value proposition and user experience rather than pricing strategy.
Why it matters: External market forces can sometimes explain internal metric changes. Expected answer: No major competitor moves, but there's been increased media coverage on online dating safety. Impact on approach: I'd investigate how safety perceptions might be influencing user decisions to upgrade.
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