What factors are contributing to the sudden 30% drop in sales of Warby Parker's blue light filtering lenses in the past week?

Introduction

The sudden 30% drop in sales of Warby Parker's blue light filtering lenses over the past week is a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the product and business.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be a recent change. Has there been any product update or marketing campaign change in the last 2-4 weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a website redesign or new marketing campaign. Impact on approach: If yes, we'd focus on those changes; if no, we'd look at external factors.

• Considering the specificity of the product, I'm curious about the affected user segments. Is this drop consistent across all demographics, or are certain groups more affected?

Why it matters: Helps identify if it's a universal issue or specific to certain users. Expected answer: The drop is more pronounced in younger users. Impact on approach: If segmented, we'd tailor our solution to the most affected groups.

• Given the magnitude of the drop, I'm wondering about our competitors. Have we seen any significant moves from our competitors in the blue light filtering space recently?

Why it matters: Competitive actions can dramatically impact sales. Expected answer: A major competitor launched a new product line. Impact on approach: If yes, we'd need to assess our market positioning; if no, we'd focus more on internal factors.

• Considering potential technical issues, has there been any change in how we're tracking or reporting sales data for this specific product?

Why it matters: Ensures we're not dealing with a data anomaly rather than a real sales drop. Expected answer: No changes in data tracking or reporting. Impact on approach: If there were changes, we'd need to validate our data first before proceeding with other analyses.