How can IntelyCare improve its shift matching algorithm to better accommodate nurses' preferences and availability?

Introduction

IntelyCare's shift matching algorithm is a critical component of their healthcare staffing platform, directly impacting nurse satisfaction and operational efficiency. To improve this algorithm, we need to delve deep into user needs, current pain points, and potential innovative solutions. I'll approach this challenge by first clarifying our understanding of the current situation, then analyzing user segments and their pain points, before proposing and evaluating solutions.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the scale and complexity of IntelyCare's operations. Could you help me understand the current size of the nurse pool and the number of healthcare facilities we're working with?

Why it matters: Determines the scale of the algorithm improvement needed and potential computational constraints. Expected answer: 30,000 nurses and 1,500 healthcare facilities. Impact on approach: Large scale would require focus on efficiency and scalability of the algorithm.

• Considering user behavior, I'm curious about the current shift acceptance rate. What percentage of offered shifts are typically accepted by nurses on the first match?

Why it matters: Indicates the current effectiveness of the matching algorithm and sets a baseline for improvement. Expected answer: 60% acceptance rate on first match. Impact on approach: Lower rates would prioritize improving initial match quality over secondary features.

• Thinking about pain points and market position, how does our shift matching performance compare to our main competitors? Are there any specific areas where we're falling behind?

Why it matters: Helps identify competitive advantages and areas for differentiation. Expected answer: We're leading in speed but lagging in personalization of matches. Impact on approach: Would focus on enhancing personalization features in the algorithm.

• Considering the product lifecycle and company alignment, what are the key business metrics that this improvement initiative is expected to impact?

Why it matters: Ensures alignment between product improvements and overall business goals. Expected answer: Aiming to increase nurse retention by 20% and improve facility fill rates by 15%. Impact on approach: Would prioritize features that directly impact retention and fill rates.