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Company focus

DAZN

Why has DAZN's live streaming service seen a 15% drop in concurrent viewers during prime-time hours over the past month?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking Sports Streaming OTT Platforms Live Entertainment Data Analysis User Retention Root Cause Analysis Live Streaming Sports Tech
Product Management Root Cause Analysis Question: Investigating concurrent viewer decline for DAZN's live streaming service

Introduction

DAZN's live streaming service has experienced a 15% drop in concurrent viewers during prime-time hours over the past month, signaling a significant challenge for the platform. This analysis will systematically identify, validate, and address the root cause of this decline, considering both immediate and long-term implications for DAZN's business.

To tackle this issue, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive understanding of the problem and actionable recommendations 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 there might be seasonal factors at play. Has this 15% drop been compared to the same period last year?

Why it matters: Seasonal trends could explain viewer fluctuations. Expected answer: Yes, it's been compared and the drop is unusual for this time of year. Impact on approach: If seasonal, we'd focus on year-over-year comparisons rather than month-over-month.

  • Considering the specificity of prime-time hours, I'm curious about the viewing patterns. Has there been any shift in viewership to other time slots?

Why it matters: This could indicate changing user behavior rather than overall disengagement. Expected answer: There's been a slight increase in off-peak viewing, but not enough to offset the prime-time drop. Impact on approach: If true, we'd investigate factors affecting prime-time availability or preference.

  • Given the nature of live streaming, I'm wondering about content changes. Have there been any significant changes in the type or quality of content offered during prime-time in the past month?

Why it matters: Content is a primary driver for live streaming engagement. Expected answer: No major changes in content offerings or quality have been noted. Impact on approach: If content hasn't changed, we'd focus more on technical or user experience factors.

  • Considering the competitive landscape, I'm thinking about new entrants or promotions. Have any major competitors launched new services or aggressive promotions in the past month?

Why it matters: External competitive factors could be drawing viewers away. Expected answer: There have been some new promotions from competitors, but nothing out of the ordinary. Impact on approach: If competition isn't the main factor, we'd prioritize internal issues in our analysis.

  • Given the importance of technical performance in streaming, I'm curious about any recent updates. Have there been any significant platform updates or changes to the streaming infrastructure in the past month?

Why it matters: Technical issues could directly impact concurrent viewership. Expected answer: A minor update was pushed two weeks ago, but no major changes were implemented. Impact on approach: If a recent update correlates with the decline, we'd prioritize technical investigation.

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Updated Jan 22, 2025