Introduction
The recent 20% drop in daily active users for Axonius's Asset Management module is a concerning trend that requires immediate attention and a thorough root cause analysis. As we delve into this issue, we'll systematically examine potential factors, generate data-driven hypotheses, and develop a comprehensive plan to address the underlying causes and restore user engagement.
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: Information about recent updates or confirmation of no significant changes. Impact on approach: If changes occurred, we'd focus on their impact; if not, we'd look at other factors.
Why it matters: Understanding which users are most affected helps narrow down potential causes. Expected answer: Breakdown of user segments affected by the drop. Impact on approach: We'd tailor our investigation and solutions to the most impacted user groups.
Why it matters: External factors could influence user behavior independently of the product itself. Expected answer: Information on relevant industry changes or confirmation of stable conditions. Impact on approach: If external factors are at play, we'd need to consider how to adapt the product to new market conditions.
Why it matters: Technical issues could directly lead to decreased user engagement. Expected answer: Data on system performance and reliability metrics. Impact on approach: If technical issues are present, we'd prioritize resolving them; if not, we'd focus on other aspects of the user experience.
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