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Company focus

Fever

Why has Fever's ticket sales for local events dropped by 30% in the past month?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking Event Management Entertainment E-commerce User Experience Data Analysis Product Metrics Root Cause Analysis Event Ticketing
Product Management Root Cause Analysis Question: Investigating sudden drop in ticket sales for local events platform

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.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a seasonal component. Has this 30% drop been compared to the same period last year?

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.

  • Considering user segments, I'm curious if this decline is uniform across all event types. Are certain categories more affected than others?

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.

  • Thinking about recent changes, have there been any significant updates to the app or website in the last 1-2 months?

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.

  • Regarding performance metrics, has there been any change in how we're tracking or defining ticket sales?

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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Updated Mar 29, 2025