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Company focus

Pegasystems

What factors are contributing to the increased error rates in Pegasystems's Pega Robotic Process Automation deployments this month?

Prepared by NextSprints

12 mins
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Data Analysis Problem Solving Technical Understanding Enterprise Software Business Process Automation IT Services Performance Optimization Root Cause Analysis RPA Error Rates Pegasystems
Product Management Root Cause Analysis Question: Investigating increased error rates in Pegasystems RPA deployments

Introduction

Increased error rates in Pegasystems's Pega Robotic Process Automation (RPA) deployments this month present a critical challenge that demands immediate attention. As we delve into this issue, 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 deployment process. Has there been any update to the deployment pipeline or infrastructure in the past month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a recent update to the deployment pipeline. Impact on approach: If confirmed, we'd focus on rollback options and thorough testing of the new pipeline.

  • Considering user segments, I'm wondering if this is affecting all clients equally. Are we seeing higher error rates across all customer deployments, or is it concentrated in specific industries or deployment sizes?

Why it matters: Helps narrow down if it's a global issue or specific to certain use cases. Expected answer: The issue is more prevalent in large-scale deployments. Impact on approach: We'd prioritize investigating scalability issues and large deployment configurations.

  • Thinking about the error types, I'm curious if there's a pattern. Are we seeing a specific type of error occurring more frequently, or is it a general increase across various error types?

Why it matters: Identifies if it's a systemic issue or related to a specific functionality. Expected answer: There's an increase in timeout errors during process execution. Impact on approach: We'd focus on performance optimization and resource allocation.

  • Considering external factors, I'm wondering about any changes in client environments. Have there been any significant updates or changes in the most common client-side systems that Pega RPA interacts with?

Why it matters: External system changes can impact RPA performance. Expected answer: Some clients have recently upgraded their ERP systems. Impact on approach: We'd investigate compatibility issues and potential updates needed in our RPA scripts.

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NextSprints

Updated Jan 22, 2025