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Product Management Root Cause Analysis Question: Investigating Messenger API webhook delivery success rate decline
Image of author vinay

Vinay

Updated Dec 6, 2024

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Asked at Meta

15 mins

Why has Messenger API webhook delivery success rate dropped to 65%?

Technical Analysis Problem Solving Data Interpretation Social Media Communication Platforms Developer Tools
Messaging Platforms Root Cause Analysis Technical Troubleshooting API Performance Webhook Delivery

Introduction

The sudden drop in Messenger API webhook delivery success rate to 65% is a critical issue that demands immediate attention. This significant decrease in performance could have far-reaching consequences for user experience, platform reliability, and overall business metrics. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes 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 recent change that triggered this. Has there been any significant update to the Messenger API or related systems in the past week?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update to the API. Impact on approach: If confirmed, we'd focus on the recent change as a primary suspect.

  • Considering the scale of the issue, I'm wondering about its distribution. Is this 65% success rate consistent across all users and regions, or are there noticeable patterns?

Why it matters: Uneven distribution could point to specific infrastructure or regional issues. Expected answer: The issue is more pronounced in certain regions. Impact on approach: We'd prioritize investigating region-specific factors if confirmed.

  • Given the nature of webhooks, I'm curious about the failure modes. Are we seeing timeouts, connection errors, or specific error codes in the failed deliveries?

Why it matters: Different error types suggest different root causes. Expected answer: There's a mix of timeouts and connection errors. Impact on approach: This would guide our technical investigation towards network and server capacity issues.

  • Thinking about potential external factors, have there been any significant changes in usage patterns or volume of webhook calls recently?

Why it matters: Sudden spikes in usage could overwhelm the system. Expected answer: Usage has been relatively stable. Impact on approach: If confirmed, we'd focus more on internal system issues rather than external pressures.

  • Considering the possibility of measurement errors, has there been any change to how we track or calculate the webhook delivery success rate?

Why it matters: Ensures we're not chasing a phantom problem due to faulty metrics. Expected answer: No changes to the measurement system. Impact on approach: Confirms we should focus on actual delivery issues rather than metric calculation problems.

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