What caused the sudden 30% decrease in job recommendations generated by Eightfold's AI Matching engine last week?

Introduction

The sudden 30% decrease in job recommendations generated by Eightfold's AI Matching engine last week is a critical issue that demands immediate attention. This significant drop in recommendations could severely impact user experience, platform engagement, and ultimately, the company's 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.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent system update. Has there been any significant change to the AI Matching engine or its underlying data sources in the past two weeks?

Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, there was a minor update to the algorithm. Impact on approach: If confirmed, I'd focus on the update's specifics and potential unintended consequences.

• Considering the scale of the decrease, I'm wondering about data integrity. Have we confirmed that all data feeds into the AI Matching engine are functioning correctly and completely?

Why it matters: Data issues can dramatically affect AI performance. Expected answer: Initial checks show no obvious data feed problems. Impact on approach: If data integrity is confirmed, I'd shift focus to algorithm behavior and user interactions.

• Given the specificity of the 30% figure, I'm curious about our measurement accuracy. Has there been any change in how we measure or define "job recommendations generated"?

Why it matters: Metric definition changes can create false alarms. Expected answer: No changes to the metric definition or measurement process. Impact on approach: This would validate the issue as real, not a measurement artifact.

• Thinking about user behavior, have we seen any significant changes in user engagement or job posting patterns from employers in the last month?

Why it matters: External factors could be influencing the AI's ability to generate recommendations. Expected answer: No major changes observed in user or employer behavior. Impact on approach: This would suggest focusing on internal system issues rather than external factors.