For Clipboard Health's shift scheduling feature, should we focus on maximizing shift fill rates or optimizing for healthcare professional preferences and availability?

Introduction

The trade-off we're examining today is whether Clipboard Health's shift scheduling feature should prioritize maximizing shift fill rates or optimizing for healthcare professional preferences and availability. This decision is crucial for balancing the needs of healthcare facilities with those of the professionals using our platform. I'll analyze this trade-off by considering various factors, including business impact, user experience, and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Business Context: I'm thinking this trade-off might be critical for our revenue model. Could you clarify if we charge facilities based on filled shifts, or if we have a different monetization strategy?

Why it matters: Helps understand the direct financial impact of prioritizing fill rates Expected answer: Revenue is tied to filled shifts Impact on approach: Would lean towards maximizing fill rates if directly tied to revenue

• User Impact: Based on our user segments, I'm assuming we have both new and experienced healthcare professionals. Can you confirm if we've seen different behaviors or preferences between these groups?

Why it matters: Helps tailor our approach to different user segments Expected answer: New users prioritize more shifts, experienced users value preference matching Impact on approach: Might suggest a hybrid solution or personalized experience

• Technical Feasibility: Considering our current architecture, I'm wondering about the complexity of implementing a more sophisticated preference matching system. How flexible is our current scheduling algorithm?

Why it matters: Determines the feasibility and timeline for implementing preference optimization Expected answer: Moderate flexibility, would require significant development effort Impact on approach: Might influence the timeline and phasing of any preference-focused improvements

• Resource Allocation: Given the potential impact of this decision, I'm curious about our team's capacity. Do we have dedicated resources for this feature, or would this compete with other priorities?

Why it matters: Helps understand the practical constraints on implementation Expected answer: Limited dedicated resources, competing with other key initiatives Impact on approach: Might lead to a phased approach or more conservative recommendation

• Timeline Pressure: Considering market dynamics, I'm thinking there might be competitive pressure to improve in this area. Are there any urgent timeline considerations driving this decision?

Why it matters: Influences the urgency and scope of our solution Expected answer: Increasing competition, but no immediate crisis Impact on approach: Might suggest a balanced, iterative approach rather than a drastic shift