What factors are contributing to the sudden 35% drop in billable hours for TheoremOne's cloud migration projects this month?

Introduction

The sudden 35% drop in billable hours for TheoremOne's cloud migration projects this month is a critical issue that demands immediate attention and thorough analysis. To address this problem, I'll employ a systematic framework to identify, validate, and resolve the root cause while considering both short-term and long-term implications for our business.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this drop coincided with any particular time of year or event?

Why it matters: Seasonal patterns could explain cyclical changes in billable hours. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on forecasting and resource allocation strategies.

• Considering project lifecycles, I'm curious about the current mix of projects. Has there been a shift in the number of new vs. ongoing cloud migration projects?

Why it matters: Project mix can significantly impact billable hours. Expected answer: Possible decrease in new project starts. Impact on approach: If confirmed, we'd investigate sales pipeline and client onboarding processes.

• Thinking about our workforce, I'm wondering if there have been any recent changes in our team composition or availability?

Why it matters: Staff changes or availability issues could directly affect billable hours. Expected answer: No major staffing changes reported. Impact on approach: If staffing is stable, we'd focus more on project management and client-side factors.

• Reflecting on our metrics, I'm considering whether there have been any changes in how we track or report billable hours recently?

Why it matters: Changes in measurement could create artificial drops in reported hours. Expected answer: No recent changes to tracking or reporting methods. Impact on approach: If confirmed, we'd rule out measurement issues and focus on actual performance factors.