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Company focus

Sportradar

What caused the sudden 30% drop in API calls to Sportradar's player statistics service yesterday?

Prepared by NextSprints

15 mins
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Problem Solving Technical Analysis Data Interpretation Sports Analytics Data Services Technology Data Analytics Root Cause Analysis API Management Sports Technology
Product Management Root Cause Analysis Question: Investigating sudden drop in Sportradar API calls

Introduction

A sudden 30% drop in API calls to Sportradar's player statistics service is a critical issue that demands immediate attention and thorough analysis. This significant decrease could have far-reaching implications for our business, affecting revenue, user satisfaction, and potentially our market position. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to prevent future occurrences.

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 related to a recent deployment. Has there been any significant update or change to the API service in the last 48 hours?

Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, a minor update was deployed yesterday morning. Impact on approach: If confirmed, we'd focus on rollback considerations and code review.

  • Considering the scale of the drop, I'm wondering about potential data accuracy issues. Can we confirm that our monitoring systems are functioning correctly and that this isn't a false alarm?

Why it matters: Ensures we're not chasing a non-existent problem. Expected answer: Monitoring systems have been double-checked and are accurate. Impact on approach: If monitoring is accurate, we'd proceed with deeper technical investigation.

  • Given the nature of sports data, I'm curious about seasonality. Are we in a period where we'd expect lower API usage, such as off-season for major sports?

Why it matters: Helps distinguish between expected fluctuations and actual problems. Expected answer: No, we're in peak season for most major sports. Impact on approach: If not seasonal, we'd focus more on technical or user behavior issues.

  • Thinking about our user base, I'm considering potential changes in client behavior. Have we received any feedback or support tickets from major API consumers in the last 24 hours?

Why it matters: Direct user feedback can provide crucial insights into the problem. Expected answer: A few large clients have reported issues accessing the API. Impact on approach: If confirmed, we'd prioritize client-side investigations and communication.

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Updated Jan 22, 2025