You ran an A/B test and saw that it drops engagement. What would you do about it?

Introduction

When faced with an A/B test that drops engagement, it's crucial to approach the situation methodically. This scenario requires a deep dive into the test parameters, data analysis, and potential external factors to uncover the root cause of the engagement drop. We'll systematically examine the issue, generate hypotheses, and develop a strategic plan to address the problem.

Step 1

Clarifying Questions (3 minutes)

To fully understand the context and implications of the engagement drop, I'd ask the following questions:

• What specific engagement metrics decreased, and by how much?

• How long has the A/B test been running, and how many users were involved?

• Were there any recent changes to the product or user experience coinciding with the test?

• Are there any segments of users more affected than others?

• Have we ruled out any technical issues or data collection anomalies?

• What was the primary goal of the A/B test, and how does it align with our overall product strategy?

These questions are crucial because they help establish a baseline for our analysis and ensure we're not overlooking any obvious factors. For instance, if the test has only been running for a short time, we might need more data for statistical significance. Similarly, understanding which user segments are most affected could point us towards specific usability issues or unintended consequences of the test.