Why has PhysicsWallah's live online class attendance dropped by 30% for JEE Advanced courses over the past month?

Introduction

PhysicsWallah's 30% drop in live online class attendance for JEE Advanced courses over the past month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this drop coincided with any major academic events or holidays?

Why it matters: Seasonal trends could explain temporary fluctuations. Expected answer: No significant academic events during this period. Impact on approach: If confirmed, we'd focus more on internal factors.

• Considering user segments, I'm curious about the distribution of the drop. Is the 30% decrease uniform across all user groups, or are certain segments more affected?

Why it matters: Helps identify if the issue is universal or specific to certain users. Expected answer: The drop is more pronounced in first-year JEE Advanced students. Impact on approach: We'd investigate factors specific to new users' experiences.

• Thinking about recent changes, have there been any significant updates to the course content, platform features, or pricing in the last 1-2 months?

Why it matters: Recent changes could directly impact user behavior. Expected answer: A new interactive feature was rolled out 6 weeks ago. Impact on approach: We'd examine the feature's adoption and performance closely.

• Regarding performance metrics, has there been any change in how attendance is measured or reported in the past month?

Why it matters: Ensures we're comparing apples to apples in our data analysis. Expected answer: No changes in measurement or reporting methods. Impact on approach: Confirms the issue is with actual attendance, not data anomalies.