What metrics would you use to evaluate Clipboard Health's automated matching algorithm for connecting healthcare facilities with available staff?

Introduction

Evaluating Clipboard Health's automated matching algorithm for connecting healthcare facilities with available staff is a critical product success metrics challenge. To address this effectively, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders. This approach will help us assess the algorithm's performance, user satisfaction, and business impact comprehensively.

Step 1

Product Context

Clipboard Health's automated matching algorithm is a core feature of their healthcare staffing platform. It aims to efficiently connect healthcare facilities with available staff based on various factors such as skills, availability, location, and preferences.

Key stakeholders include:

1. Healthcare facilities seeking staff
2. Healthcare professionals looking for work
3. Clipboard Health (the company)
4. Patients (indirectly affected by staffing quality)

User flow:

1. Healthcare facilities post job openings with specific requirements
2. Healthcare professionals create profiles and set availability
3. The algorithm matches jobs with qualified, available professionals
4. Facilities review matches and select staff
5. Professionals accept or decline offers

This feature is central to Clipboard Health's value proposition, differentiating them from traditional staffing agencies by offering faster, more accurate matches at scale. Competitors like ShiftKey and NurseFly offer similar services, but Clipboard Health aims to stand out through superior matching accuracy and user experience.

The product is in the growth stage, with a focus on improving match quality and expanding market share.