What factors are causing the increased churn rate for Model N's Deal Management solution among pharmaceutical clients in the last 6 months?

Introduction

The increased churn rate for Model N's Deal Management solution among pharmaceutical clients over the past 6 months is a critical issue that demands immediate attention. 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 implications.

My analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a thorough examination of external factors, product understanding, metric breakdown, data gathering, hypothesis formation, root cause analysis, validation, and finally, a comprehensive resolution plan.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a correlation with recent product updates. Have there been any significant changes to the Deal Management solution in the last 6-8 months?

Why it matters: Product changes can directly impact user experience and satisfaction. Expected answer: Yes, there was a major update to the pricing module. Impact on approach: If confirmed, I'd focus on investigating the new pricing module's usability and performance.

• Considering the specificity to pharmaceutical clients, I'm wondering if there have been any industry-specific regulatory changes. Have there been any new compliance requirements for pharmaceutical deal management in the past year?

Why it matters: Regulatory changes can significantly impact product fit and usability. Expected answer: Yes, new pricing transparency regulations were introduced. Impact on approach: I'd examine how well our solution adapts to these new regulations.

• Given the focus on churn, I'm curious about the onboarding process. Has there been any change in the customer onboarding or training procedures in the last 6-12 months?

Why it matters: Poor onboarding can lead to frustration and eventual churn. Expected answer: No significant changes to onboarding. Impact on approach: If unchanged, I'd look more closely at long-term user engagement strategies.

• Considering potential data anomalies, I'm wondering about our measurement methods. Has there been any change in how we define or calculate churn rate in the last year?

Why it matters: Changes in metric definition could create false alarms. Expected answer: No changes to churn rate calculation. Impact on approach: If confirmed, I'd focus on actual user behavior rather than measurement issues.