Why has Science 37's patient recruitment rate for virtual trials dropped by 15% over the last quarter?

Introduction

The recent 15% drop in Science 37's patient recruitment rate for virtual trials over the last quarter is a concerning trend that requires immediate attention. As we analyze this issue, we'll follow a systematic approach to identify, validate, and address the root cause while considering both short-term and long-term implications for the company's virtual trial platform.

Our analysis will cover issue identification, hypothesis generation, validation, and solution development. We'll start by clarifying the context, then rule out basic external factors before diving deep into the product understanding, metric breakdown, and data-driven hypothesis formation. Finally, we'll conduct a thorough root cause analysis and propose a comprehensive resolution plan.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Have we seen similar dips in recruitment rates during this quarter in previous years?

Why it matters: Seasonal patterns could explain the drop and inform our approach to addressing it. Expected answer: No significant seasonal patterns observed in previous years. Impact on approach: If seasonal, we'd focus on strategies to counteract annual trends; if not, we'd look deeper into recent changes or issues.

• Considering the specificity of the 15% drop, I'm curious about our measurement methods. Has there been any recent change in how we calculate or track the patient recruitment rate?

Why it matters: Ensures we're addressing a real issue and not a measurement anomaly. Expected answer: No changes in measurement methodology. Impact on approach: If measurement changed, we'd need to reassess the actual impact; if not, we can focus on external and internal factors affecting recruitment.

• Given the nature of virtual trials, I'm wondering about our technology infrastructure. Have we experienced any significant technical issues or downtime in our virtual trial platform over the last quarter?

Why it matters: Technical problems could directly impact recruitment efforts and user experience. Expected answer: No major technical issues reported. Impact on approach: If technical issues exist, we'd prioritize fixing them; if not, we'd explore other factors affecting recruitment.

• Thinking about our target audience, has there been any shift in the demographics or characteristics of the patients we're trying to recruit compared to previous quarters?

Why it matters: Changes in target audience could affect recruitment strategies and success rates. Expected answer: No significant changes in target demographics. Impact on approach: If demographics shifted, we'd need to adjust our recruitment strategies; if not, we'd look into other factors affecting our current target audience.