Introduction
The recent 30% drop in adoption of Asana's new timeline view feature is a critical issue that demands 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 and its users.
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 adoption rates. 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 universal or segment-specific. Expected answer: The drop is more significant among new users. Impact on approach: I'd prioritize onboarding and first-time user experience in my analysis.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement. Impact on approach: If confirmed, I'd focus on actual usage patterns rather than metric definition issues.
Why it matters: External market forces could influence user behavior. Expected answer: No major market shifts. Impact on approach: If confirmed, I'd focus more on internal factors and product-specific issues.
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