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Company focus

Acuity Brands

What factors are causing the higher-than-expected return rate for Acuity Brands's Lithonia Lighting BLT Series LED troffers in the past month?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking Lighting Commercial Construction Energy Efficiency Root Cause Analysis B2B Product Quality Manufacturing Lighting Industry
Product Management Root Cause Analysis Question: Investigating high return rates for LED lighting products

Introduction

The Lithonia Lighting BLT Series LED troffers from Acuity Brands are experiencing a higher-than-expected return rate in the past month. This issue requires a thorough investigation to identify the root cause and implement effective solutions. I'll approach this problem systematically, examining various factors that could contribute to the increased returns while considering both immediate and long-term implications for the product and company.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minute)

  • Looking at the timing, I'm thinking there might be a recent change in the product or manufacturing process. Has there been any modification to the BLT Series LED troffers in the last 2-3 months?

Why it matters: Recent changes could directly impact product quality or user experience. Expected answer: Yes, there was a minor design update. Impact on approach: If yes, we'd focus on the specific changes and their potential effects.

  • Considering the nature of returns, I'm curious about the reasons customers are citing. What are the top 3 reasons given for returns based on customer feedback?

Why it matters: This helps identify if the issue is related to product performance, user expectations, or installation problems. Expected answer: Flickering, color inconsistency, and difficulty in installation. Impact on approach: We'd prioritize investigating these specific areas in our root cause analysis.

  • Given that this is a B2B product, I'm wondering about the customer segments affected. Are the increased returns concentrated in a particular industry sector or geographic region?

Why it matters: This could indicate whether the issue is universal or specific to certain use cases or environments. Expected answer: Returns are higher in commercial office spaces in the Northeast region. Impact on approach: We'd examine environmental factors and specific use cases in that sector and region.

  • Considering potential external factors, has there been any change in the return policy or the process for submitting returns in the past 3 months?

Why it matters: Changes in policy could affect return behavior without necessarily indicating a product issue. Expected answer: No recent changes to the return policy. Impact on approach: If no changes, we'd focus more on product-related issues rather than policy effects.

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Updated Jan 22, 2025