Introduction
Addepar's portfolio reporting tool has experienced a 15% decrease in daily active users over the past month, signaling a significant shift in user engagement. This analysis will systematically identify, validate, and address the root cause of this decline, considering both immediate and long-term implications for the product and its users.
To tackle this issue, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to uncover the underlying factors contributing to the decrease in daily active users and propose actionable strategies to reverse this trend.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends could explain the fluctuation and impact our approach. Expected answer: Yes, it has been compared, and the decrease is still significant. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and cyclical strategies.
Why it matters: Identifying specific affected segments could point to targeted issues. Expected answer: The decrease is more pronounced among financial advisors managing smaller portfolios. Impact on approach: We'd investigate features or changes that might disproportionately affect this user segment.
Why it matters: Recent changes could directly correlate with the user decline. Expected answer: A new dashboard feature was rolled out six weeks ago. Impact on approach: We'd scrutinize the new feature's impact on user experience and workflow.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: Confirms the decrease is real and not a result of tracking discrepancies.
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