Why has Bullhorn's candidate search functionality seen a 15% decrease in usage over the past month?

Introduction

The recent 15% decrease in Bullhorn's candidate search functionality usage over the past month is a concerning trend that requires immediate attention. As we delve into this issue, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this decrease coincided with any particular time of year or industry events?

Why it matters: Seasonal trends could explain temporary fluctuations. Expected answer: No significant seasonal patterns observed. Impact on approach: If seasonal, we'd focus on year-over-year comparisons.

• Considering user segments, I'm curious if this decrease is uniform across all user types. Have you noticed any particular user segments more affected than others?

Why it matters: Identifies whether the issue is global or segment-specific. Expected answer: The decrease is more pronounced among recruiter users. Impact on approach: We'd focus on recruiter-specific factors if confirmed.

• Thinking about recent changes, have there been any updates to the search algorithm or UI in the past month?

Why it matters: Recent changes could directly impact usage patterns. Expected answer: A minor UI update was implemented three weeks ago. Impact on approach: We'd investigate the UI change's potential effects on user behavior.

• Regarding data integrity, has there been any change in how search usage is measured or reported?

Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes in measurement or reporting methods. Impact on approach: If changed, we'd need to recalibrate our baseline metrics.