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Product Management Root Cause Analysis Question: Investigating sudden drop in Bibit's stock trading app user engagement
Image of author vinay

Vinay

Updated Nov 19, 2024

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Asked at Bibit

15 mins

Why has the daily active user count for Bibit's stock trading feature dropped by 30% over the past week?

Data Analysis Problem Solving Strategic Thinking FinTech Stock Trading Mobile Apps
Data Analysis User Retention Product Metrics Root Cause Analysis FinTech

Introduction

The sudden 30% drop in daily active users for Bibit's stock trading feature over the past week is a critical issue that demands immediate attention. This significant decline could have far-reaching implications for user engagement, revenue, and overall product health. To address this problem, 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)

  • Looking at the timing, I'm thinking there might be a specific event or change that triggered this decline. Has there been any recent product updates or market events in the past week?

Why it matters: Identifying a specific trigger could fast-track our root cause analysis. Expected answer: A major app update or significant market volatility. Impact on approach: If confirmed, we'd focus on that specific change or event.

  • Considering user segments, I'm wondering if this decline is uniform across all user groups. Are we seeing any patterns in terms of user demographics or trading behavior?

Why it matters: This could help us identify if the issue is affecting a specific subset of users. Expected answer: The decline is more pronounced among newer or less active users. Impact on approach: We'd tailor our solution to address the needs of the most affected group.

  • Given the scale of the drop, I'm curious about any changes in our measurement or reporting systems. Can we confirm that our tracking mechanisms haven't changed and are functioning correctly?

Why it matters: We need to rule out any data anomalies before diving deeper. Expected answer: No changes in tracking systems have been reported. Impact on approach: If confirmed, we can focus on actual user behavior rather than data issues.

  • Considering external factors, I'm thinking about potential market conditions. Have there been any significant changes in the stock market or regulatory environment recently?

Why it matters: External factors could be driving user behavior changes. Expected answer: No major market shifts, but perhaps some regulatory announcements. Impact on approach: This would help us determine if we need to address internal issues or adapt to external changes.

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