Why has Fiverr's Pro Services category seen a 15% drop in completed orders over the past month?

Introduction

Fiverr's Pro Services category has experienced a 15% drop in completed orders over the past month, signaling a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the platform.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only addresses the immediate concern but also strengthens Fiverr's Pro Services for future growth.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonality at play. Has this 15% drop been compared to the same period last year?

Why it matters: Seasonal fluctuations could explain the drop and inform our approach. Expected answer: Yes, it has been compared, and this drop is unusual for this time of year. Impact on approach: If seasonal, we'd focus on year-over-year trends; if not, we'd investigate recent changes.

• Considering user segments, I'm curious about the distribution of this drop. Is the 15% decrease uniform across all Pro Services categories, or are some hit harder than others?

Why it matters: Uneven impact could point to category-specific issues. Expected answer: The drop varies across categories, with some experiencing larger declines. Impact on approach: We'd prioritize investigating the most affected categories first.

• Thinking about recent changes, have there been any significant updates to the Pro Services platform or policies in the last 1-2 months?

Why it matters: Recent changes could directly correlate with the order decline. Expected answer: A new pricing structure was implemented for some Pro Services categories. Impact on approach: We'd analyze the impact of these changes on user behavior and order completion rates.

• Considering the metric itself, has there been any change in how completed orders are tracked or defined in the system?

Why it matters: Ensures we're comparing apples to apples and not facing a data anomaly. Expected answer: No changes to the metric definition or tracking system. Impact on approach: Confirms the issue is with actual performance, not data collection.