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Company focus

Mark43

What factors are contributing to the sudden spike in error rates for Mark43's Computer Aided Dispatch module this month?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Technical Understanding Public Safety Emergency Services SaaS Data Analysis Performance Optimization Root Cause Analysis System Reliability Emergency Services Tech
Product Management Root Cause Analysis Question: Investigating sudden error rate increase in emergency dispatch software

Introduction

The sudden spike in error rates for Mark43's Computer Aided Dispatch (CAD) module this month presents a critical issue that demands immediate attention and thorough analysis. 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 system change. Has there been any significant update or deployment to the CAD module in the past month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a recent update. Impact on approach: If yes, we'd focus on change management and rollback procedures.

  • Considering user segments, I'm wondering if this is widespread or localized. Are we seeing this spike across all user groups or is it concentrated in specific regions or departments?

Why it matters: Helps narrow down potential environmental or user-specific factors. Expected answer: The issue is widespread but more pronounced in certain regions. Impact on approach: If localized, we'd investigate region-specific factors.

  • Given the nature of dispatch systems, I'm curious about the error types. What specific types of errors are we seeing an increase in? Are they related to data input, system response times, or integration issues?

Why it matters: Different error types point to different root causes. Expected answer: Mostly system response time errors. Impact on approach: If response time errors, we'd focus on server load and network issues.

  • Thinking about external factors, have there been any significant events or incidents that could have led to an unusual surge in system usage?

Why it matters: Unusual events can strain system resources. Expected answer: No significant external events noted. Impact on approach: If yes, we'd consider capacity planning and load balancing strategies.

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Updated Jan 22, 2025