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Company focus

QAD

What factors are contributing to the increased error rates in QAD's Supply Chain Planning module reported by users in the past month?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Technical Understanding Manufacturing Logistics Enterprise Software Data Analytics Root Cause Analysis Supply Chain Management ERP Systems QAD
Product Management Root Cause Analysis Question: Investigating increased error rates in QAD's Supply Chain Planning module

Introduction

The increased error rates in QAD's Supply Chain Planning module over the past month represent a critical issue that demands immediate attention and a systematic approach to resolution. As we delve into this problem, we'll employ a structured framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

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 update or change. Has there been any significant software update or configuration change to the Supply Chain Planning module in the last 1-2 months?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update. Impact on approach: If yes, we'd focus on regression testing and rollback considerations.

  • Considering user segments, I'm curious about the distribution of errors. Are these increased error rates uniform across all users, or are they concentrated in specific user groups or regions?

Why it matters: Helps identify if it's a global issue or localized to certain segments. Expected answer: Errors are more prevalent in certain user groups. Impact on approach: If segmented, we'd investigate those specific user groups or regions more closely.

  • Thinking about the nature of the errors, I'm wondering about their characteristics. Can you provide more details on the types of errors being reported? Are they data inconsistencies, system timeouts, or calculation errors?

Why it matters: Different error types point to different root causes. Expected answer: Mostly calculation errors and some data inconsistencies. Impact on approach: This would guide our technical investigation towards specific components of the module.

  • Considering external factors, I'm curious about any changes in usage patterns. Have there been any significant shifts in how users are interacting with the Supply Chain Planning module recently?

Why it matters: Changes in user behavior can sometimes trigger or exacerbate system issues. Expected answer: No significant changes noticed. Impact on approach: If no changes, we'd focus more on internal system issues rather than user behavior.

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Updated Jan 22, 2025