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Company focus

Dunelm

What factors are contributing to the 30% decrease in traffic to Dunelm's curtains and blinds section on the website over the past month?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking E-commerce Home Decor Retail E-Commerce Root Cause Analysis User Behavior Traffic Analysis Website Optimization
Product Management Root Cause Analysis Question: Investigating Dunelm's website traffic decline for curtains and blinds

Introduction

The recent 30% decrease in traffic to Dunelm's curtains and blinds section is a significant concern that requires immediate attention. To address this issue, 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 business.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Considering the timing, I'm wondering if there have been any recent changes to the website or marketing strategies. Have there been any updates to the curtains and blinds section or overall site navigation in the past month?

Why it matters: Recent changes could directly impact user behavior and traffic. Expected answer: Information about recent website updates or lack thereof. Impact on approach: If changes were made, we'd focus on those specific alterations; if not, we'd look at external factors or gradual shifts in user behavior.

  • Looking at the traffic sources, I'm curious about the breakdown of organic vs. paid traffic. Has there been any significant shift in the ratio of organic to paid traffic over the past month?

Why it matters: Changes in traffic sources could indicate issues with SEO or marketing campaigns. Expected answer: Data on traffic source breakdown and any recent changes. Impact on approach: A drop in organic traffic might lead us to investigate SEO issues, while a decrease in paid traffic could point to problems with ad campaigns.

  • Considering user segments, I'm wondering if this decrease is uniform across all customer types. Have you noticed any particular user segments (e.g., new vs. returning customers, mobile vs. desktop users) being more affected than others?

Why it matters: Identifying affected segments can help pinpoint specific issues or user experience problems. Expected answer: Information on traffic patterns across different user segments. Impact on approach: If certain segments are more affected, we'd focus our investigation on those specific user experiences or journeys.

  • Thinking about seasonal trends, I'm curious if this 30% decrease is unusual for this time of year. How does the current traffic compare to the same period in previous years?

Why it matters: Seasonal fluctuations could explain some of the traffic changes. Expected answer: Historical data on traffic patterns during this period in previous years. Impact on approach: If this decrease is anomalous compared to previous years, we'd focus more on recent changes or external factors; if it's somewhat expected, we'd investigate why it's more pronounced this year.

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Updated Jan 22, 2025