Introduction
The recent 25% decline in average session duration for Canva's video editor feature 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 the product.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.
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, there was a UI refresh. Impact on approach: If confirmed, I'd focus on UI/UX-related hypotheses.
Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The decline is more significant among casual users. Impact on approach: I'd prioritize investigating casual user experience and onboarding.
Why it matters: Ensures we're comparing apples to apples. Expected answer: No changes in metric calculation. Impact on approach: If confirmed, I'd focus on actual usage patterns rather than measurement issues.
Why it matters: External market forces could influence user behavior. Expected answer: No significant competitor changes. Impact on approach: If confirmed, I'd focus more on internal factors and user experience issues.
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