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Company focus

Dream Sports

Why has Dream Sports's fantasy cricket platform seen a 20% drop in daily active users over the past month?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving User Behavior Understanding Gaming Sports Technology Mobile Apps Product Strategy User Engagement Data Analysis Root Cause Analysis Fantasy Sports
Product Management Root Cause Analysis Question: Investigating user engagement drop in fantasy sports platform

Introduction

Dream Sports's fantasy cricket platform has experienced a significant 20% drop in daily active users over the past month. This decline in user engagement is a critical issue that requires immediate attention and a thorough analysis to identify the root cause and develop effective solutions.

I'll approach this problem systematically, starting with clarifying questions to gather essential context, then ruling out external factors before diving deep into internal product and user behavior analysis. My goal is to identify the most likely root causes, validate them, and propose actionable solutions to reverse the trend.

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 this could be related to the cricket season. Is this drop occurring during a typical peak or off-peak period for cricket?

Why it matters: Seasonal trends can significantly impact user engagement in sports-related platforms. Expected answer: It's during a typically active cricket season. Impact on approach: If it's during an active season, we'll need to focus more on internal factors or competitive pressures.

  • I'm curious about the user segments affected. Has the drop been uniform across all user types, or are certain segments (e.g., high-value users, new users) more affected?

Why it matters: Understanding which segments are most affected can help pinpoint specific issues or changes impacting those groups. Expected answer: The drop is more pronounced among casual users. Impact on approach: If casual users are more affected, we might focus on onboarding, engagement features, or entry-level contests.

  • Considering potential system issues, have there been any recent changes to how we measure daily active users or any known data collection problems?

Why it matters: Ensures we're working with accurate data and not chasing a non-existent problem. Expected answer: No changes to measurement or known data issues. Impact on approach: If confirmed, we can confidently move forward with analyzing user behavior and product changes.

  • Thinking about recent product updates, have there been any significant changes to the platform's features, user interface, or contest structures in the past 1-2 months?

Why it matters: Recent changes could directly impact user engagement and retention. Expected answer: A new user interface was rolled out 6 weeks ago. Impact on approach: If confirmed, we'd prioritize analyzing the impact of these changes on user behavior and engagement.

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Updated Mar 29, 2025