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)
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.
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.
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.
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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