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.
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 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.
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.
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.
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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