What factors are contributing to the 30% decrease in student sign-ups for Unibuddy's virtual events platform since the latest update?

Introduction

The recent 30% decrease in student sign-ups for Unibuddy's virtual events platform 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 our product strategy.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, user journey, and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a comprehensive plan for validation and resolution.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a correlation with the latest update. Can you provide more details about what changes were implemented in this update?

Why it matters: Understanding the scope of changes helps pinpoint potential causes. Expected answer: A list of feature updates or system changes. Impact on approach: Narrow focus to specific areas affected by the update.

• I'm curious about the user segments affected. Has the decrease been uniform across all student types, or are certain groups more impacted?

Why it matters: Identifies whether the issue is universal or segment-specific. Expected answer: Data showing variation across user segments. Impact on approach: Tailor solutions to most affected segments if disparities exist.

• Considering the nature of virtual events, I wonder if there's been any change in the types of events being offered. Has there been a shift in event categories or formats recently?

Why it matters: Changes in event offerings could influence student interest. Expected answer: Information on event type distribution before and after the update. Impact on approach: Explore potential misalignment between event offerings and student preferences.

• Given the 30% decrease, I'm wondering about the timeframe. Over what period have we observed this decline in sign-ups?

Why it matters: Helps distinguish between sudden drops and gradual declines. Expected answer: Specific timeframe, e.g., "over the last month" or "since the update two weeks ago." Impact on approach: Determine urgency and potential correlation with specific events or changes.