What factors are contributing to the sudden 30% drop in billable hours for Analysis Group's healthcare analytics team this month?

Introduction

The sudden 30% drop in billable hours for Analysis Group's healthcare analytics team this month is a critical issue that demands immediate attention. This significant decrease in a key performance metric could have far-reaching implications for the company's revenue, client relationships, and team morale. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term impacts.

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 in the healthcare industry?

Why it matters: Seasonal patterns could explain cyclical changes in billable hours. Expected answer: No significant seasonal patterns observed in previous years. Impact on approach: If seasonal, we'd focus on managing workload distribution; if not, we'd investigate other factors.

• Considering the specificity of the drop, I'm wondering about recent changes. Have there been any significant alterations to the team structure, project allocation, or client base in the past month?

Why it matters: Recent changes could directly impact billable hours. Expected answer: A few new clients onboarded, but no major structural changes. Impact on approach: If changes occurred, we'd examine their direct impact; if not, we'd look at existing processes and client relationships.

• Given the magnitude of the drop, I'm curious about the distribution. Is this 30% decrease uniform across all team members and projects, or is it concentrated in specific areas?

Why it matters: Uneven distribution could point to specific issues rather than systemic problems. Expected answer: The decrease is not uniform, with some projects more affected than others. Impact on approach: If concentrated, we'd focus on those specific areas; if uniform, we'd investigate broader, team-wide factors.

• Considering potential external factors, has there been any significant change in the healthcare regulatory environment or market conditions that might affect our clients' demand for analytics services?

Why it matters: External factors could explain changes in client behavior and project scopes. Expected answer: No major regulatory changes, but some market uncertainty due to potential healthcare policy shifts. Impact on approach: If external factors are significant, we'd need to adapt our services and client communication strategies accordingly.