Why has ADP's Run payroll processing service seen a 15% increase in error rates over the past month?

Introduction

ADP's Run payroll processing service has experienced a 15% increase in error rates over the past month, signaling a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause of this problem, considering both short-term fixes and long-term implications for the product.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal factor. Has there been any change in the volume or complexity of payroll processing during this period?

Why it matters: Seasonal changes could explain the increase in errors. Expected answer: No significant seasonal changes observed. Impact on approach: If confirmed, we'll focus more on internal factors.

• Considering the error rate increase, I'm wondering about recent system updates. Have there been any software updates or infrastructure changes in the last 1-2 months?

Why it matters: System changes often correlate with performance issues. Expected answer: A minor update was rolled out 6 weeks ago. Impact on approach: This could be a key area to investigate further.

• Thinking about user behavior, has there been any change in the customer base or usage patterns recently?

Why it matters: New users or changed behaviors could lead to increased errors. Expected answer: No significant changes in user demographics or behavior. Impact on approach: We'll focus more on system and process issues rather than user-related factors.

• Considering the metric itself, has there been any change in how errors are defined or measured in the system?

Why it matters: Changes in measurement can sometimes appear as performance issues. Expected answer: No changes in error definition or measurement. Impact on approach: We'll assume the increase is real and not an artifact of measurement.