Introduction
The decline in Facebook Stories view completion rate from 85% to 45% 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 the product.
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: Recent changes could directly impact user behavior. Expected answer: Yes, we updated the UI last week. Impact on approach: If confirmed, I'd focus on UI-related hypotheses.
Why it matters: Different user groups may have varying engagement patterns. Expected answer: We've seen an increase in younger users. Impact on approach: I'd investigate if the content or format appeals less to this demographic.
Why it matters: Content type can significantly influence view completion rates. Expected answer: Business Stories have increased by 20%. Impact on approach: I'd explore if business content is less engaging for users.
Why it matters: Algorithm changes can affect content relevance and user engagement. Expected answer: We tweaked the algorithm two weeks ago. Impact on approach: I'd focus on how the new algorithm impacts content relevance.
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