Introduction
The completion rate decline for Zwift Academy training programs from 80% to 60% in the last quarter is a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for Zwift's product ecosystem.
Framework overview
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 fluctuations in user engagement. Expected answer: The decline started during summer months. Impact on approach: If seasonal, we'd focus on strategies to maintain engagement during off-peak periods.
Why it matters: Different user groups may have distinct needs or challenges. Expected answer: The decline is more significant among intermediate-level users. Impact on approach: We'd tailor our solutions to address the specific needs of the most affected segments.
Why it matters: Product changes could directly impact user engagement and completion rates. Expected answer: A new difficulty scaling system was implemented. Impact on approach: We'd examine how this change might have affected user motivation and progress.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: Confirms the issue is with user behavior, not data collection.
Why it matters: Competitor actions could influence user engagement with Zwift. Expected answer: A new competitor launched a similar program with different incentives. Impact on approach: We'd analyze our value proposition compared to new market offerings.
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