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Product Management Root Cause Analysis Question: Investigating increased error rates in safety management software
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Nextsprints

Updated Jan 22, 2025

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What factors are contributing to the increased error rate in Sphera's Process Safety Management module reported by clients in the past month?

Problem Solving Data Analysis Technical Understanding Industrial Safety Risk Management Environmental Health and Safety
Root Cause Analysis Error Diagnostics Process Safety Software Reliability

Introduction

The increased error rate in Sphera's Process Safety Management module is a critical issue that demands immediate attention. As we delve into this problem, we'll employ a systematic approach 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 change in the system. Has there been any significant update or deployment to the Process Safety Management module in the past month?

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 change-related factors; if no, we'd look at gradual degradation or external factors.

  • Considering the nature of the errors, I'm wondering about their distribution. Are these errors concentrated in specific areas of the module or spread across various functionalities?

Why it matters: Helps narrow down the problem area and potential causes. Expected answer: Errors are primarily in risk assessment calculations. Impact on approach: Concentrated errors would lead us to investigate specific components, while widespread issues might indicate a systemic problem.

  • Given the client-reported nature of the issue, I'm curious about the user demographics. Has there been any change in the client base or usage patterns in the last month?

Why it matters: New users or changed usage patterns could explain increased error rates. Expected answer: No significant changes in client base or usage. Impact on approach: If there are changes, we'd investigate user-related factors; if not, we'd focus more on technical or data-related issues.

  • Thinking about potential data issues, I'm wondering about the integrity of our error tracking. Have there been any changes to how we measure or report errors in the past month?

Why it matters: Ensures we're dealing with a real increase in errors, not a measurement artifact. Expected answer: No changes in error tracking or reporting. Impact on approach: If there were changes, we'd need to validate our metrics first; if not, we can proceed with analyzing the errors themselves.

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