What caused the sudden 30% decrease in API calls to Tiger Analytics's demand forecasting service last month?

Introduction

A sudden 30% decrease in API calls to Tiger Analytics's demand forecasting service last month is a critical issue that requires immediate attention and thorough analysis. This significant drop could have far-reaching implications for the company's revenue, customer satisfaction, and overall product strategy. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

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 API or its documentation in the past month?

Why it matters: Recent changes could directly impact API usage. Expected answer: Yes, there was a minor update to the API documentation. Impact on approach: If yes, we'd focus on the update's impact on user understanding and integration.

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

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The decrease is more significant among small business customers. Impact on approach: If segment-specific, we'd tailor our investigation and solutions to that particular user group.

• Given the nature of demand forecasting, I'm wondering about seasonality. Does this 30% decrease align with any historical patterns or is it unprecedented?

Why it matters: Distinguishes between normal fluctuations and anomalies. Expected answer: This decrease is unusual for this time of year. Impact on approach: If unprecedented, we'd focus more on recent changes or external factors.

• Thinking about system health, have there been any reported issues with API availability or performance during this period?

Why it matters: Technical issues could directly cause a decrease in API calls. Expected answer: No significant outages, but there have been intermittent slowdowns. Impact on approach: If yes, we'd prioritize technical investigations and improvements.