Why has Fresha's online booking feature seen a 20% drop in usage over the past month?

Introduction

Fresha's online booking feature has experienced a 20% drop in usage over the past month, signaling a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product ecosystem, user journey, and relevant metrics. From there, I'll generate 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 seasonal component. Has this 20% drop been compared to the same period last year?

Why it matters: Seasonal fluctuations could explain the drop and change our approach. Expected answer: No, we haven't compared it to last year's data yet. Impact on approach: If seasonal, we'd focus on year-over-year trends rather than month-over-month.

• Considering user segments, I'm curious if this drop is uniform across all user types. Have you noticed any particular user segment more affected than others?

Why it matters: Identifying affected segments could point to specific issues or changes impacting certain users. Expected answer: We've seen a larger drop among small business owners. Impact on approach: We'd focus on investigating recent changes or issues specific to small business users.

• Thinking about recent changes, have there been any updates to the booking feature or related systems in the past 1-2 months?

Why it matters: Recent changes could directly correlate with the usage drop. Expected answer: We implemented a new UI for the booking process three weeks ago. Impact on approach: We'd prioritize analyzing the impact of this UI change on user behavior.

• Considering data accuracy, has there been any change in how we measure or define "usage" of the online booking feature?

Why it matters: Ensures we're comparing apples to apples and not dealing with a measurement issue. Expected answer: No changes in measurement or definition. Impact on approach: We'd rule out data collection issues and focus on actual usage patterns.