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Product Management Root Cause Analysis Question: Investigating driver turnover increase at JB Hunt's dedicated services division
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Nextsprints

Updated Jan 22, 2025

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What factors are contributing to the recent 20% increase in driver turnover for JB Hunt's dedicated contract services division?

Data Analysis Problem Solving Strategic Thinking Transportation Logistics Supply Chain
Data Analysis Root Cause Analysis Logistics Driver Retention Employee Satisfaction

Introduction

The recent 20% increase in driver turnover for JB Hunt's dedicated contract services division is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root causes while considering both short-term and long-term implications for the company's operations and driver retention strategies.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product ecosystem and user journey. From there, I'll break down the metric, gather relevant data, form hypotheses, and conduct a thorough root cause analysis. Finally, I'll propose validation methods and outline a comprehensive 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 be seasonal factors at play. Has this increase occurred during a specific time of year or is it spread evenly across recent months?

Why it matters: Seasonal patterns could indicate external factors rather than internal issues. Expected answer: The increase has been consistent over the past quarter. Impact on approach: If seasonal, we'd focus on cyclical solutions; if consistent, we'd look deeper into ongoing operational issues.

  • Considering the specificity of the 20% figure, I'm curious about our measurement methods. Has there been any recent change in how we calculate or track driver turnover?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement methods. Impact on approach: If measurement changed, we'd need to reassess the data; if consistent, we can trust the 20% figure.

  • Given the focus on the dedicated contract services division, I'm wondering if this trend is isolated or if it's reflected across other divisions as well?

Why it matters: Helps determine if this is a division-specific issue or a company-wide problem. Expected answer: The issue is primarily in the dedicated contract services division. Impact on approach: If isolated, we'd focus on division-specific factors; if widespread, we'd look at company-wide policies.

  • Thinking about driver demographics, has there been any significant change in the composition of our driver workforce recently?

Why it matters: Changes in workforce composition could explain shifts in turnover rates. Expected answer: No major changes in driver demographics. Impact on approach: If demographics shifted, we'd investigate those changes; if stable, we'd look at other factors affecting the existing workforce.

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