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Company focus

Tray.io

What caused the sudden 35% decrease in API calls to Tray.io's Connector SDK last week?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Technical Understanding SaaS Integration Platforms Developer Tools Data Analysis Root Cause Analysis API Management SaaS Integration Platforms
Product Management Root Cause Analysis Question: Investigating sudden API call decrease for Tray.io Connector SDK

Introduction

The sudden 35% decrease in API calls to Tray.io's Connector SDK last week represents a significant disruption to our product's performance and user engagement. This analysis will systematically investigate the root cause, considering both internal and external factors that could have contributed to this sharp decline.

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 to the Connector SDK or related systems in the past two weeks?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, a minor update was pushed last week. Impact on approach: If confirmed, we'd focus on the update's impact and potential rollback.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 35% drop uniform across all user types, or are certain segments more affected?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: Enterprise users are more affected than small businesses. Impact on approach: We'd prioritize investigating enterprise-specific integrations or use cases.

  • Given the nature of API calls, I'm wondering about any changes in error rates. Have we seen any increase in API errors or timeouts coinciding with this decrease?

Why it matters: Could indicate technical issues rather than user behavior changes. Expected answer: Error rates have increased by 15% in the same period. Impact on approach: We'd focus on technical root causes and system performance.

  • Thinking about external factors, has there been any change in our documentation, pricing, or terms of service for the Connector SDK recently?

Why it matters: Could explain a shift in user behavior or adoption. Expected answer: No recent changes to documentation or terms. Impact on approach: We'd shift focus to technical or competitive factors rather than policy changes.

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Updated Jan 22, 2025