Why has the average session duration for Teachers Pay Teachers's search feature declined by 2 minutes over the past quarter?

Introduction

The decline in average session duration for Teachers Pay Teachers's search feature by 2 minutes over the past quarter is a concerning trend that requires thorough investigation. This analysis will systematically identify potential root causes, validate hypotheses, and propose solutions to address the issue while considering both immediate and long-term implications for the platform.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this decline coincided with any particular academic period or holiday?

Why it matters: Seasonal patterns could explain temporary fluctuations in usage. Expected answer: The decline spans across different academic periods. Impact on approach: If seasonal, we'd focus on cyclical patterns; if not, we'd investigate more persistent issues.

• Considering user segments, I'm curious about the distribution of this decline. Is the 2-minute decrease consistent across all teacher grade levels and subjects?

Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: The decline is more pronounced in certain subjects or grade levels. Impact on approach: We'd focus our investigation on the most affected segments and their specific needs.

• Regarding recent changes, have there been any significant updates to the search algorithm or user interface in the past quarter?

Why it matters: Product changes often impact user behavior and could explain the metric shift. Expected answer: A recent update to the search algorithm was implemented. Impact on approach: We'd analyze the impact of the update on search relevance and user experience.

• Thinking about data integrity, has there been any change in how session duration is measured or in the tools used to track this metric?

Why it matters: Ensures we're comparing apples to apples and not chasing a non-existent problem. Expected answer: No changes in measurement methodology or tools. Impact on approach: If changed, we'd recalibrate our analysis; if not, we'd focus on actual user behavior changes.