What factors are contributing to the sudden 30% increase in data processing time for Visier's Workforce Planning module this month?

Introduction

The sudden 30% increase in data processing time for Visier's Workforce Planning module this month is a critical issue that demands immediate attention. This performance degradation could significantly impact user experience, productivity, and ultimately, customer satisfaction. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent update or change. Has there been any significant software release or infrastructure change in the past month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update two weeks ago. Impact on approach: If confirmed, I'd focus on changes introduced in that update.

• Considering user segments, I'm curious if this is affecting all users equally. Are we seeing this 30% increase across all customer types and data volumes?

Why it matters: Helps isolate if it's a global issue or specific to certain user groups. Expected answer: The issue seems more pronounced for customers with larger datasets. Impact on approach: I'd investigate scalability issues and data volume handling.

• Given the nature of workforce planning, I'm wondering about seasonality. Is this increase aligned with any typical end-of-quarter or annual planning cycles?

Why it matters: Seasonal spikes can explain temporary performance issues. Expected answer: It's not typically a peak season for workforce planning activities. Impact on approach: If confirmed, I'd look more closely at non-seasonal factors.

• Thinking about system health, have there been any changes in error rates or unusual patterns in system logs coinciding with this slowdown?

Why it matters: Error logs often provide direct clues to performance issues. Expected answer: There's been an increase in timeout errors in the database logs. Impact on approach: I'd prioritize database performance investigation.