What's causing the sudden 30% decrease in profile views for LinkedIn Learning instructors?

Introduction

The sudden 30% decrease in profile views for LinkedIn Learning instructors is a critical issue that demands immediate attention. This significant drop could have far-reaching implications for instructor engagement, content quality, and ultimately, the platform's success. 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 this could be a recent change. When exactly did you first notice this 30% decrease?

Why it matters: Pinpointing the timeframe helps narrow down potential causes. Expected answer: Within the last week or month. Impact on approach: A sudden drop suggests a specific trigger, while a gradual decline might indicate a broader trend.

• Considering user segments, I'm wondering if this affects all instructors equally. Are there any patterns in terms of instructor categories or content types that are more affected?

Why it matters: Identifying patterns helps focus our investigation on specific areas. Expected answer: Some variation across instructor types or content categories. Impact on approach: If certain segments are more affected, we'd prioritize investigating those areas first.

• Given the nature of the metric, I'm curious about any recent changes to the platform. Have there been any updates to the LinkedIn Learning interface or algorithm in the past month?

Why it matters: Recent changes could directly impact user behavior and profile views. Expected answer: Information about recent updates or confirmation of no significant changes. Impact on approach: If changes occurred, we'd focus on their potential impact; if not, we'd look more at external factors or gradual trends.

• Thinking about data integrity, I want to confirm the consistency of our measurement. Has there been any change in how we track or calculate profile views?

Why it matters: Ensures we're not dealing with a data anomaly rather than a real issue. Expected answer: Confirmation of consistent measurement methods. Impact on approach: If measurement changed, we'd need to reassess the validity of the 30% decrease claim.