Introduction
Fever's 30% drop in ticket sales for local events over the past month is a critical issue that demands immediate attention. As we analyze this product challenge, I'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term and long-term implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends can significantly impact event attendance. Expected answer: Yes, it's been compared and is still abnormal. Impact on approach: If seasonal, we'd focus on year-over-year comparisons.
Why it matters: Helps pinpoint if the issue is global or category-specific. Expected answer: Some categories are more affected than others. Impact on approach: We'd prioritize investigating the most impacted categories.
Why it matters: Recent changes could have unintended consequences on user behavior. Expected answer: A minor UI update was implemented last month. Impact on approach: We'd scrutinize the impact of these changes on the user journey.
Why it matters: Ensures we're comparing apples to apples in our data analysis. Expected answer: No changes in tracking or definitions. Impact on approach: If changed, we'd need to recalibrate our analysis based on new definitions.
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