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Product Management Root Cause Analysis Question: Investigating UiPath Robot error rate increase in attended automation

What caused the sudden spike in error rates for attended automation processes using UiPath Robots last week?

Problem Solving Data Analysis Technical Troubleshooting Robotic Process Automation Enterprise Software IT Services
Root Cause Analysis Error Diagnostics RPA UiPath Attended Automation

Introduction

The sudden spike in error rates for attended automation processes using UiPath Robots last 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 strategic implications.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll generate and validate hypotheses, conduct a thorough root cause analysis, and propose a comprehensive resolution plan.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development, ensuring a comprehensive examination of the problem at hand.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be related to a recent update. Has there been any software release or configuration change in the past week?

Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, a minor update was pushed last Tuesday. Impact on approach: If confirmed, I'd focus on changes introduced in that update.

  • Considering the scope, I'm curious about the extent of the issue. Is this spike in error rates affecting all clients or a specific subset?

Why it matters: Helps determine if it's a systemic issue or limited to certain environments. Expected answer: It's affecting about 60% of our enterprise clients. Impact on approach: I'd investigate common factors among affected clients.

  • Given the nature of attended automation, I wonder about user behavior changes. Have we seen any shift in how users are interacting with the robots recently?

Why it matters: User behavior can significantly impact automation performance. Expected answer: No significant changes reported in user interaction patterns. Impact on approach: If true, I'd focus more on technical aspects rather than user-related issues.

  • Thinking about system dependencies, has there been any change in the underlying infrastructure or third-party integrations?

Why it matters: External dependencies can introduce unexpected errors. Expected answer: A cloud provider upgraded their API last week. Impact on approach: I'd investigate how this upgrade might have affected our systems.

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