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Product Management Root Cause Analysis Question: Investigating sudden decrease in Postman API requests

Why has the number of API requests sent through Postman decreased by 30% in the last week?

Problem Solving Data Analysis Technical Understanding Software Development API Tools Developer Productivity
Data Analysis Performance Optimization Root Cause Analysis User Behavior API Management

Introduction

The sudden 30% decrease in API requests sent through Postman over the past week is a critical issue that demands immediate attention. This significant drop could impact user engagement, product functionality, and potentially our bottom line. 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 have been a recent product update. Has there been any significant change to Postman's API or user interface in the last two weeks?

Why it matters: Recent changes could directly impact user behavior or system performance. Expected answer: Yes, there was a minor UI update. Impact on approach: If yes, we'd focus on the update's impact on user experience and potential technical issues.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 30% drop uniform across all user types, or is it more pronounced in specific segments?

Why it matters: This helps identify if the issue is global or specific to certain user groups. Expected answer: The decrease is more significant among enterprise users. Impact on approach: If segmented, we'd tailor our investigation and solutions to the most affected user groups.

  • Given the nature of API requests, I'm wondering about any changes in error rates. Have you noticed any increase in API errors or failed requests coinciding with this decrease?

Why it matters: Technical issues could be deterring users from making requests. Expected answer: There's been a slight increase in timeout errors. Impact on approach: If yes, we'd prioritize investigating backend performance and infrastructure issues.

  • Thinking about external factors, has there been any change in how we're tracking or defining API requests in the last month?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in tracking methods. Impact on approach: If there were changes, we'd need to recalibrate our analysis based on the new definition.

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