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Company focus

Sysco

How can we explain the sudden 30% drop in customer satisfaction scores for Sysco's online ordering platform in the past two weeks?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Strategic Thinking Food Service E-commerce B2B Platforms Data Analysis Root Cause Analysis Food Service Customer Satisfaction B2B Platforms
Product Management Root Cause Analysis Question: Investigating sudden drop in customer satisfaction for B2B online ordering platform

Introduction

The sudden 30% drop in customer satisfaction scores for Sysco's online ordering platform over the past two weeks is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

To tackle this problem, I'll follow a structured approach:

  1. Clarify the situation
  2. Rule out external factors
  3. Understand the product and user journey
  4. Break down the metric
  5. Gather and prioritize data
  6. Form hypotheses
  7. Conduct root cause analysis
  8. Validate findings and propose next steps
  9. Create a decision framework
  10. Develop a resolution plan
Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might have been a recent platform update. Has there been any significant change to the online ordering system in the last month?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a new feature was rolled out. Impact on approach: If yes, we'd focus on the new feature's impact; if no, we'd look at other factors.

  • Considering the magnitude of the drop, I'm wondering about data accuracy. Has there been any change in how customer satisfaction is measured or reported?

Why it matters: Ensures we're dealing with a real issue, not a measurement anomaly. Expected answer: No changes in measurement. Impact on approach: If changed, we'd investigate the new measurement system; if not, we'd focus on actual satisfaction drivers.

  • Given the specificity of the 30% drop, I'm curious about the affected user segments. Is this decline uniform across all customer types, or are certain segments more affected?

Why it matters: Helps narrow down potential causes and tailor solutions. Expected answer: The drop is more pronounced in certain segments. Impact on approach: If uniform, we'd look at platform-wide issues; if segmented, we'd investigate segment-specific factors.

  • Considering the online nature of the platform, I'm thinking about potential technical issues. Have there been any reported server outages, slow loading times, or error rates in the past two weeks?

Why it matters: Technical issues often directly impact user satisfaction. Expected answer: Some intermittent server issues reported. Impact on approach: If yes, we'd prioritize technical root causes; if no, we'd focus more on UX or product-related factors.

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NextSprints

Updated Jan 22, 2025