Why has the return rate for clothing items on Trouva spiked from 5% to 12% in the past two weeks?

Introduction

The recent spike in Trouva's clothing return rate from 5% to 12% over the past two weeks is a critical issue that demands immediate attention. This sudden increase could significantly impact customer satisfaction, operational costs, and overall business performance. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in the product or operations. Has Trouva implemented any significant updates to the platform or policies in the last month?

Why it matters: Recent changes could directly correlate with the return rate spike. Expected answer: Yes, there have been some updates. Impact on approach: If yes, we'll focus on those changes; if no, we'll look at external factors.

• Considering the magnitude of the increase, I'm wondering about data accuracy. Can you confirm that the return rate calculation method hasn't changed and that all systems are reporting correctly?

Why it matters: Ensures we're not chasing a non-existent problem due to data errors. Expected answer: The calculation method and systems are consistent. Impact on approach: If there's an issue here, we'd need to address data integrity first.

• Given that this is specifically about clothing items, I'm curious about any changes in the product mix. Has there been a shift in the types or brands of clothing items being sold on Trouva recently?

Why it matters: Different product types or quality levels could affect return rates. Expected answer: There might have been some changes in inventory or featured products. Impact on approach: If yes, we'll investigate the correlation between new products and return rates.

• Considering potential external factors, have there been any significant marketing campaigns or promotions in the past month that might have attracted a different customer segment?

Why it matters: New customer segments might have different expectations or behaviors. Expected answer: There were some new marketing initiatives. Impact on approach: If yes, we'll analyze the return rates for new vs. existing customers.