Introduction
The sudden 30% decrease in in-app purchases for Supercell's Hay Day's latest seasonal event 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 the product.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.
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: Understanding event changes helps identify potential user experience issues. Expected answer: Details on event mechanics, duration, and rewards. Impact on approach: Significant changes might point to user adoption challenges.
Why it matters: Identifies whether the issue is global or segment-specific. Expected answer: Breakdown of impact across user segments (e.g., new vs. veteran players). Impact on approach: Segment-specific issues would require targeted solutions.
Why it matters: Technical issues or gameplay changes could explain the decrease. Expected answer: Information on recent updates or changes. Impact on approach: Recent changes might indicate bugs or user adaptation issues.
Why it matters: External market factors could influence player behavior. Expected answer: Information on competitor activities. Impact on approach: Strong competitive offerings might require strategic adjustments.
Why it matters: Ensures the observed decrease is real and not a measurement artifact. Expected answer: Confirmation of consistent measurement methods. Impact on approach: Data inconsistencies would shift focus to measurement systems.
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