What factors are contributing to the 30% decrease in repeat purchases of Heyday's custom facial serums since the last product update?

Introduction

The 30% decrease in repeat purchases of Heyday's custom facial serums since the last product update 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 a correlation between the product update and the decrease in repeat purchases. Could you provide more details about the nature of the last product update?

Why it matters: Understanding the changes made can help identify potential issues introduced. Expected answer: Information about formulation changes, packaging updates, or feature modifications. Impact on approach: Directs focus to specific areas of the product that may have been affected.

• I'm curious about the customer segments affected. Has the 30% decrease been uniform across all user groups, or are certain segments more impacted?

Why it matters: Helps identify if the issue is widespread or localized to specific user types. Expected answer: Breakdown of impact across different customer segments. Impact on approach: Allows for targeted analysis and solutions based on affected groups.

• Considering the product lifecycle, I'm wondering about the timeframe of this decrease. How long after the product update did you start noticing the decline in repeat purchases?

Why it matters: Establishes a timeline for the issue and potential correlation with the update. Expected answer: Specific timeframe, e.g., "We noticed the decline about 2 weeks after the update." Impact on approach: Helps narrow down potential causes based on when the issue began.

• Given the significance of the decrease, I'm thinking about customer feedback. Have there been any changes in customer sentiment or feedback since the update?

Why it matters: Direct customer input can provide valuable insights into the root cause. Expected answer: Information on customer complaints, reviews, or support tickets. Impact on approach: Guides the focus towards specific areas of customer dissatisfaction.