Introduction
The sudden 30% decrease in in-app purchases for Hay Day following the latest update 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, 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: Establishes a clear timeline for the issue. Expected answer: Update released on [date], decrease noticed within 48 hours. Impact on approach: Helps narrow down potential causes related to the update.
Why it matters: Identifies if the issue is user-segment specific. Expected answer: Long-term users more affected than new users. Impact on approach: Focuses investigation on features or changes that might impact experienced users more.
Why it matters: Pinpoints whether it's a frequency or value problem. Expected answer: Primarily a decrease in the number of transactions. Impact on approach: Directs focus to factors affecting purchase decisions rather than pricing issues.
Why it matters: Rules out or confirms technical barriers to purchases. Expected answer: No significant increase in reported technical issues. Impact on approach: If confirmed, would shift focus from technical to UX or value proposition issues.
Why it matters: Identifies direct changes that could affect purchasing behavior. Expected answer: Minor UI changes to the store, no major changes to available items. Impact on approach: If significant changes, would focus on those specific alterations and their impact on user behavior.
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