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Product Management Root Cause Analysis Question: Investigating sudden user decline in cloud-based vulnerability management platform
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Nextsprints

Updated Jan 22, 2025

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Asked at Rapid7

12 mins

How can we explain the sudden 30% decrease in daily active users for Rapid7's InsightVM cloud-based vulnerability management platform last week?

Data Analysis Problem Solving Strategic Thinking Cybersecurity SaaS Enterprise Software
User Retention Performance Optimization Root Cause Analysis Competitive Analysis Cloud Security

Introduction

A sudden 30% decrease in daily active users for Rapid7's InsightVM cloud-based vulnerability management platform is a critical issue that demands immediate attention and thorough analysis. This significant drop in user engagement could have far-reaching implications for the product's success and the company's bottom line. 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 have been a recent product update. Has there been any significant change or feature release in the past week?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a major update was released last week. Impact on approach: If true, we'd focus on the new features and potential bugs.

  • Considering the scale of the decrease, I'm wondering about system stability. Have there been any reported outages or performance issues recently?

Why it matters: Technical issues can dramatically impact user engagement. Expected answer: No major outages, but some users reported slow response times. Impact on approach: This would shift our focus to performance optimization.

  • Given the cloud-based nature of InsightVM, I'm curious about data accuracy. Has there been any change in how we track or define daily active users?

Why it matters: Metric definition changes can cause apparent shifts in user activity. Expected answer: No changes to the DAU definition or tracking method. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new definition.

  • Thinking about external factors, have there been any significant industry events or competitor actions that might influence our user base?

Why it matters: External events can sometimes explain sudden changes in user behavior. Expected answer: A major competitor launched a free trial program last week. Impact on approach: This would lead us to investigate user churn and competitive positioning.

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