Introduction
Domo's Magic ETL feature has experienced a significant 30% drop in daily active users over the past month, raising concerns about user engagement and product performance. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications for the product.
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 and engagement. Expected answer: Yes, there was a UI update three weeks ago. Impact on approach: If confirmed, we'd focus on the UI changes and user feedback.
Why it matters: Helps identify if the issue is global or specific to certain user types. Expected answer: Enterprise users are more affected than small business users. Impact on approach: We'd prioritize investigating enterprise-specific issues or needs.
Why it matters: Ensures we're working with accurate and consistent data. Expected answer: No changes in measurement methods. Impact on approach: If confirmed, we can rule out data tracking issues.
Why it matters: External factors could be influencing user behavior. Expected answer: A major competitor launched a new feature last month. Impact on approach: We'd need to assess our product's competitiveness and user needs.
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