What factors are contributing to the sudden 15% decrease in completed interior design projects on Livspace's platform this quarter?

Introduction

The sudden 15% decrease in completed interior design projects on Livspace's platform this quarter is a critical issue that demands immediate attention. As we analyze this product challenge, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.

Our approach will involve a thorough examination of internal and external factors, data analysis, and hypothesis generation. We'll prioritize understanding the user journey, breaking down the metric, and formulating data-driven hypotheses. Throughout this process, we'll maintain a focus on actionable insights and strategic solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this 15% decrease been compared to the same quarter last year?

Why it matters: Seasonal trends could explain fluctuations in project completions. Expected answer: Yes, it has been compared, and the decrease is still significant. Impact on approach: If seasonal, we'd focus on year-over-year comparisons rather than quarter-over-quarter.

• Considering user segments, I'm curious about the distribution of this decrease. Is the 15% drop uniform across all user types, or is it more pronounced in specific segments?

Why it matters: Identifying affected segments could point to targeted issues. Expected answer: The decrease is more significant among first-time users. Impact on approach: We'd prioritize investigating onboarding and first-time user experience.

• Thinking about recent changes, have there been any significant updates to the platform or pricing model in the last quarter?

Why it matters: Recent changes could directly impact user behavior and project completion rates. Expected answer: A new pricing structure was implemented two months ago. Impact on approach: We'd focus on analyzing the impact of the pricing change on user behavior.

• Regarding the metric itself, has the definition of a "completed project" remained consistent, and are we confident in the data collection process?

Why it matters: Changes in metric definition or data collection could lead to false alarms. Expected answer: The definition and data collection process have remained consistent. Impact on approach: We'd rule out measurement issues and focus on actual performance decline.