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Company focus

Loadsmart

How can we explain the sudden increase in customer support tickets related to Loadsmart's load tracking functionality in the past week?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Technical Understanding Logistics Supply Chain Transportation Root Cause Analysis Customer Support Data Processing Logistics Tech Load Tracking
Product Management Root Cause Analysis Question: Investigating sudden increase in Loadsmart's load tracking support tickets

Introduction

The sudden increase in customer support tickets related to Loadsmart's load tracking functionality in the past week 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 implications for our product strategy.

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 a recent change in the system. Has there been any recent deployment or update to the load tracking feature?

Why it matters: Recent changes often correlate with sudden increases in support tickets. Expected answer: Yes, there was a minor update last week. Impact on approach: If confirmed, we'd focus on the changes made in that update.

  • Considering user segments, I'm wondering if this issue is affecting all users equally. Are we seeing a higher concentration of tickets from a particular user group or geographic region?

Why it matters: Helps narrow down if it's a localized or widespread issue. Expected answer: The increase is across all user segments. Impact on approach: If it's widespread, we'd look at system-wide changes or external factors.

  • Given the nature of load tracking, I'm curious about any changes in tracking data sources. Have we recently switched or updated any of our data providers for GPS or ELD information?

Why it matters: Data source changes can significantly impact tracking accuracy and reliability. Expected answer: No recent changes to data providers. Impact on approach: If unchanged, we'd focus more on internal systems and user experience factors.

  • Considering potential system overloads, has there been a significant increase in the number of loads being tracked simultaneously compared to previous weeks?

Why it matters: Sudden scale increases can strain systems and cause performance issues. Expected answer: Load volume has remained relatively stable. Impact on approach: If stable, we'd look more at software issues rather than scaling problems.

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Updated Jan 22, 2025