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Company focus

Rightway

Why has the average time to first appointment booking through Rightway's provider scheduling platform increased by 3 days in the last quarter?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Cross-Functional Collaboration Healthcare Technology SaaS Appointment Scheduling User Experience Data Analysis Performance Optimization Root Cause Analysis Healthcare Tech
Product Management Root Cause Analysis Question: Investigating increased appointment booking time for healthcare scheduling platform

Introduction

The recent increase in average time to first appointment booking through Rightway's provider scheduling platform is a critical issue that demands immediate attention. This 3-day increase over the last quarter could significantly impact user satisfaction, provider efficiency, and overall platform performance. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be seasonal factors at play. Has this increase coincided with any particular season or holiday period?

Why it matters: Seasonal patterns could explain temporary fluctuations. Expected answer: No significant seasonal correlation observed. Impact on approach: If seasonal, we'd focus on capacity planning; if not, we'll investigate other factors.

  • Considering user segments, I'm curious if this increase is uniform across all user types. Are we seeing differences between new and returning users, or among different demographic groups?

Why it matters: Helps identify if the issue is systemic or specific to certain user groups. Expected answer: The increase is more pronounced among new users. Impact on approach: If user-specific, we'd tailor solutions to affected segments; if universal, we'd look at platform-wide issues.

  • Thinking about recent changes, have there been any significant updates to the platform's UI, functionality, or backend systems in the past quarter?

Why it matters: Recent changes could directly impact user behavior or system performance. Expected answer: A minor UI update was implemented two months ago. Impact on approach: If changes correlate with the issue, we'd focus on those specific updates; if not, we'd broaden our investigation.

  • Considering provider availability, has there been any change in the number of available appointment slots or provider participation rates?

Why it matters: Supply-side issues could significantly impact booking times. Expected answer: Provider participation has remained stable. Impact on approach: If supply is stable, we'd focus more on demand-side or technical issues; if not, we'd investigate provider-related factors.

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Updated Mar 29, 2025