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Product Management Root Cause Analysis Question: Investigating Zoom webinar duration decrease

Asked at Zoom

15 mins

Why has the average meeting duration for Zoom Webinars decreased by 20% over the past month?

Data Analysis Hypothesis Testing Problem-Solving SaaS Video Conferencing Enterprise Software
Root Cause Analysis User Behavior Feature Impact Video Conferencing

Introduction

The recent 20% decrease in average meeting duration for Zoom Webinars over the past month is a significant shift that warrants careful analysis. This issue could have far-reaching implications for user engagement, product value perception, and ultimately, our market position. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

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 seasonal component. Has this decrease coincided with any major holiday periods or industry events?

Why it matters: Seasonal factors could explain temporary changes in user behavior. Expected answer: No significant seasonal events during this period. Impact on approach: If seasonal, we'd focus on cyclical patterns; if not, we'd investigate other factors.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 20% drop consistent across all user types, or are certain segments more affected?

Why it matters: Helps identify if the issue is universal or specific to certain user groups. Expected answer: The decrease is more pronounced in enterprise users. Impact on approach: We'd focus our investigation on enterprise-specific factors if that's the case.

  • Thinking about recent changes, have there been any significant updates to the Webinar feature in the last 1-2 months?

Why it matters: Product changes often lead to shifts in user behavior. Expected answer: A new "Quick Webinar" feature was launched 6 weeks ago. Impact on approach: We'd investigate how this new feature might be affecting webinar duration.

  • Regarding data accuracy, has there been any change in how we measure or define webinar duration recently?

Why it matters: Ensures we're not dealing with a data anomaly rather than a real user behavior change. Expected answer: No changes in measurement or definition. Impact on approach: If there were changes, we'd need to recalibrate our analysis based on the new methodology.

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