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Product Management Root Cause Analysis Question: Investigating sudden drop in Instagram Live viewers
Image of author vinay

Vinay

Updated Dec 6, 2024

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Asked at Meta

15 mins

Why has Instagram Live viewer count decreased by 70% mid-stream?

Problem-Solving Data Analysis Technical Understanding Social Media Live Streaming Digital Entertainment
Social Media User Engagement Root Cause Analysis Technical Troubleshooting Live Streaming

Introduction

The sudden 70% decrease in Instagram Live viewer count mid-stream is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product mechanics, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and 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 this could be a technical issue. Has there been any recent backend changes or deployments that coincided with this drop?

Why it matters: Technical issues often cause sudden, significant drops in engagement. Expected answer: Yes, there was a recent update to our streaming infrastructure. Impact on approach: If confirmed, I'd prioritize technical hypotheses and involve the engineering team immediately.

  • Considering user behavior, I'm curious about the content. Has there been any change in the type of content being streamed when this drop occurred?

Why it matters: Changes in content type can significantly impact viewer retention. Expected answer: No significant changes in content type have been observed. Impact on approach: If content isn't the issue, I'd focus more on technical or UI/UX factors.

  • Thinking about user segments, I'm wondering if this drop is uniform across all user groups. Are we seeing this 70% decrease consistently across different demographics or geographies?

Why it matters: Segmented impact could point to specific user experience issues or regional technical problems. Expected answer: The drop seems to be relatively uniform across segments. Impact on approach: A uniform drop would suggest a more systemic issue rather than a targeted problem.

  • Considering the metric itself, I'm curious about the definition. Has there been any recent change in how we calculate or measure the Live viewer count?

Why it matters: Changes in metric definition or measurement can sometimes explain sudden shifts in data. Expected answer: No changes have been made to the metric definition or measurement system. Impact on approach: If confirmed, this would rule out data anomalies and focus our attention on actual user behavior or technical issues.

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