Introduction
Root Insurance's mobile app has experienced a 20% drop in user engagement over the past month, signaling a critical issue that demands immediate attention. To address this problem, I'll employ a systematic framework 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 user engagement. Expected answer: Yes, there was an update. Impact on approach: If yes, we'd focus on the changes made in that update.
Why it matters: Helps identify if the issue is global or specific to certain user segments. Expected answer: The drop is more pronounced in existing users. Impact on approach: If segmented, we'd tailor our solutions to the most affected groups.
Why it matters: Helps distinguish between normal fluctuations and actual problems. Expected answer: This drop is abnormal for the season. Impact on approach: If abnormal, we'd focus on recent changes or external factors.
Why it matters: Ensures we're addressing the right problem and not misinterpreting data. Expected answer: Engagement includes daily active users, session length, and feature usage. Impact on approach: The specific metrics would guide our investigation and solution design.
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