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Company focus

Roku

Why has the average viewing time on Roku TV devices declined by 20 minutes per day compared to the previous quarter?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking Streaming Media Consumer Electronics Digital Entertainment User Engagement Product Metrics Root Cause Analysis Streaming Analytics Roku
Product Management Root Cause Analysis Question: Investigating decline in Roku TV average viewing time

Introduction

The decline in average viewing time on Roku TV devices by 20 minutes per day compared to the previous quarter is a significant issue that requires thorough investigation. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for Roku's streaming platform.

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 seasonal. Has this decline been observed in previous years during the same quarter?

Why it matters: Seasonal patterns could explain the change and inform our approach. Expected answer: No, this decline is unusual for this time of year. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes.

  • Considering user segments, I'm wondering if this decline is uniform across all user groups. Have you noticed any particular demographic or user type more affected?

Why it matters: Identifying specific affected groups could pinpoint the issue's source. Expected answer: The decline is more pronounced among users aged 18-34. Impact on approach: We'd focus on factors specifically affecting younger users' viewing habits.

  • Thinking about recent changes, have there been any significant updates to the Roku TV interface or content offerings in the last quarter?

Why it matters: Recent changes could directly impact user behavior and viewing time. Expected answer: A new UI was rolled out gradually over the past quarter. Impact on approach: We'd investigate the correlation between the UI rollout and viewing time changes.

  • Considering measurement accuracy, has there been any change in how viewing time is calculated or tracked?

Why it matters: Ensures we're comparing apples to apples and not dealing with a data anomaly. Expected answer: No changes in measurement methodology. Impact on approach: Confirms the issue is with actual viewing behavior, not data collection.

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Updated Jan 22, 2025