How can Nursa enhance its shift scheduling feature to better accommodate last-minute changes for healthcare facilities?

Introduction

To enhance Nursa's shift scheduling feature for better accommodation of last-minute changes in healthcare facilities, we need to dive deep into the current user experience, pain points, and potential solutions. I'll analyze the problem from multiple angles, considering the needs of healthcare facilities, staff, and Nursa's business objectives. Let's begin by clarifying some key aspects of the current situation.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking Nursa might be facing challenges with user retention due to scheduling inflexibility. Could you share some data on user churn rates, particularly for healthcare facilities that frequently need last-minute changes?

Why it matters: This helps us understand if the problem is affecting user retention, which could be a critical business metric. Expected answer: Churn rates are 15% higher for facilities that frequently request last-minute changes. Impact on approach: High churn would prioritize flexibility features over other potential improvements.

• Considering user behavior, I'm curious about the current process for making last-minute changes. How do facilities typically communicate these changes, and what's the average time between a change request and the start of a shift?

Why it matters: This information will help us identify bottlenecks in the current process and areas for improvement. Expected answer: Facilities usually call or message through the app, with an average 4-hour notice for changes. Impact on approach: Short notice periods would emphasize the need for real-time updates and rapid matching algorithms.

• Thinking about product lifecycle and company alignment, where does shift scheduling sit in terms of priority for Nursa? Are there any upcoming strategic initiatives or partnerships that could impact this feature?

Why it matters: Understanding the strategic context will help us align our solution with broader company goals. Expected answer: Shift scheduling is a core feature, with plans to expand into predictive staffing in the next year. Impact on approach: We'd focus on building a flexible foundation that can support future predictive capabilities.

• Regarding external factors, how has the competitive landscape evolved recently? Are there any emerging players or technologies that are addressing last-minute scheduling changes more effectively?

Why it matters: This helps us benchmark our solution against market standards and identify potential differentiators. Expected answer: A new competitor is using AI to predict staffing needs and automatically suggest replacements. Impact on approach: We might need to consider incorporating predictive elements or unique value propositions to stay competitive.