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Company focus

Box

Why has the number of new Box Notes created per day dropped by 30% over the past week?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking Cloud Storage Enterprise Software Collaboration Tools Product Metrics Root Cause Analysis User Behavior SaaS UI/UX Design
Product Management Root Cause Analysis Question: Investigating sudden drop in Box Notes creation

Introduction

The sudden 30% drop in new Box Notes created per day over the past week is a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for Box's collaborative document editing feature.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into product understanding, metric breakdown, and hypothesis generation. We'll then validate our hypotheses and develop a comprehensive plan to address the issue.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Has there been any change in how we measure or define "new Box Notes created per day"?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Hypothetical answer: No changes in measurement or definition. Impact: Confirms the validity of the observed drop.

  • Are all user segments equally affected, or is the drop concentrated in specific groups?

Why it matters: Helps narrow down potential causes and target our investigation. Hypothetical answer: The drop is more pronounced among enterprise users. Impact: Focuses our analysis on enterprise-specific factors.

  • Have there been any recent product updates or system changes?

Why it matters: Identifies potential internal causes for the drop. Hypothetical answer: A minor UI update was rolled out 10 days ago. Impact: Provides a starting point for investigating product-related causes.

  • Has there been any unusual spike in error rates or performance issues?

Why it matters: Uncovers potential technical issues affecting user experience. Hypothetical answer: No significant changes in error rates or performance metrics. Impact: Suggests we should look beyond obvious technical issues.

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Updated Nov 16, 2024