Should Incredible Health prioritize expanding its nurse job matching algorithm's accuracy or increasing the number of healthcare facilities on the platform?

Introduction

The trade-off question at hand is whether Incredible Health should prioritize expanding its nurse job matching algorithm's accuracy or increasing the number of healthcare facilities on the platform. This scenario involves balancing the quality of matches with the breadth of opportunities available to nurses. I'll analyze this trade-off by examining the product's current state, potential impacts, key metrics, and experimental approaches to inform a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming Incredible Health is a platform connecting nurses with healthcare facilities. Could you confirm if this is a two-sided marketplace, and if there are any specific segments (e.g., specialties, experience levels) we're focusing on?

Why it matters: Helps understand the ecosystem and potential impact areas Expected answer: Yes, it's a two-sided marketplace focusing on all nurse specialties Impact on approach: Would influence how we balance improvements for both sides

• Business Context: Based on the current market, I'm thinking revenue might be tied to successful placements. Is this correct, and are there any other key revenue streams?

Why it matters: Aligns solution with business model and growth strategy Expected answer: Primary revenue from placement fees, with potential secondary streams Impact on approach: Would prioritize actions that directly increase successful matches

• User Impact: Considering user behavior, I'm curious about the current user satisfaction levels for both nurses and healthcare facilities. Do we have any data on this?

Why it matters: Identifies pain points and areas for improvement Expected answer: Moderate satisfaction, with room for improvement in match quality and quantity Impact on approach: Would focus on addressing the most pressing user needs

• Technical: Regarding the matching algorithm, I'm wondering about its current accuracy rate and the main factors it considers. Can you provide some insight?

Why it matters: Assesses the potential for algorithmic improvements Expected answer: Current accuracy around 70%, considering skills, experience, and preferences Impact on approach: Would inform the feasibility and potential impact of algorithm enhancements

• Resource: Thinking about our team structure, do we have separate teams for algorithm development and business development (for facility acquisition)?

Why it matters: Determines our capacity to pursue both options simultaneously Expected answer: Yes, we have dedicated teams for both areas Impact on approach: Would influence how we allocate resources and prioritize efforts