Introduction
The sudden 15% drop in daily active users for Canva's mobile app over the past week is a critical issue that demands immediate attention. As we dive into this analysis, we'll systematically explore potential causes, gather relevant data, and develop a strategic plan to address the root cause while considering both short-term fixes 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 often correlate with sudden metric shifts. Expected answer: Yes, there was an update. Impact on approach: If yes, we'd focus on the changes in that update.
Why it matters: Helps identify if it's a global issue or specific to certain users. Expected answer: The drop is more pronounced in casual users. Impact on approach: We'd investigate factors affecting casual users more heavily.
Why it matters: Ensures we're not dealing with a measurement issue rather than a real problem. Expected answer: No changes in definition or measurement. Impact on approach: If changed, we'd need to reassess the validity of the comparison.
Why it matters: External events can sometimes explain internal metric shifts. Expected answer: No major external events noted. Impact on approach: If yes, we'd need to factor in competitive landscape changes.
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