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Company focus

Cargomatic

Why has the average time to book a shipment on Cargomatic's platform increased from 2 hours to 6 hours over the past week?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Technical Understanding Logistics Transportation Supply Chain User Experience Data Analysis Root Cause Analysis Logistics Tech Platform Performance
Product Management RCA Question: Investigating increased shipment booking time on a logistics platform

Introduction

The sudden increase in average shipment booking time from 2 to 6 hours on Cargomatic's platform is a critical issue that demands immediate attention. This tripling of booking duration could significantly impact user satisfaction, platform efficiency, and overall business performance. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Given the sudden change, I'm wondering about recent platform updates. Have there been any significant changes to the booking system in the past week?

Why it matters: Recent changes could directly correlate with the performance drop. Expected answer: Yes, a new UI for the booking process was rolled out. Impact on approach: If confirmed, I'd focus on UI/UX issues and potential bugs in the new system.

  • Considering user segments, has this increase been uniform across all shipper types, or are certain groups more affected?

Why it matters: Helps identify if the issue is global or specific to certain user segments. Expected answer: Small-volume shippers seem more affected than large enterprise clients. Impact on approach: I'd investigate factors specific to small-volume shippers and their interaction with the platform.

  • Looking at the timing, I'm curious about any changes in carrier availability. Has there been a significant fluctuation in the number of active carriers on the platform recently?

Why it matters: Carrier availability directly impacts booking times. Expected answer: Carrier numbers have remained stable. Impact on approach: If stable, I'd shift focus to other factors affecting matching efficiency.

  • Regarding system performance, have there been any reported issues with server response times or API latency in the past week?

Why it matters: Technical issues could be slowing down the entire booking process. Expected answer: Some intermittent slowdowns have been reported. Impact on approach: I'd prioritize investigating backend performance and infrastructure scalability.

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NextSprints

Updated Mar 29, 2025