Introduction
The recent 30% drop in adoption of Airtable's new Gantt view feature over the past month is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
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 an update to the UI/UX of the Gantt view. Impact on approach: If true, we'd focus on the changes made and user feedback.
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: We'd investigate onboarding processes and first-time user experience.
Why it matters: Competitive pressures could influence user behavior. Expected answer: A major competitor launched a new Gantt feature last month. Impact on approach: We'd analyze our feature set against competitors and user needs.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement or definition. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new definition.
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