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Company focus

Wheel Health

How can we explain the recent 15% decline in clinician utilization rates on Wheel Health's scheduling system compared to last year?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking Healthcare Telemedicine SaaS Product Strategy User Engagement Data Analysis Root Cause Analysis Healthcare Tech
Product Management Root Cause Analysis Question: Investigating clinician utilization decline in healthcare scheduling platform

Introduction

The recent 15% decline in clinician utilization rates on Wheel Health's scheduling system compared to last year is a significant issue that requires thorough investigation. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the platform's success.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. This framework will ensure we explore all potential factors contributing to the decline in utilization rates and develop a comprehensive plan to address the issue.

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 15% decline been consistent across all months, or are there specific periods showing more significant drops?

Why it matters: Seasonal patterns could indicate external factors rather than internal issues. Expected answer: The decline has been relatively consistent across months. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and cyclical trends.

  • Considering user segments, I'm curious about the distribution of the decline. Are all clinician types equally affected, or are certain specialties or demographics showing more significant drops in utilization?

Why it matters: Uneven impact could point to specific user needs or system issues. Expected answer: General practitioners are more affected than specialists. Impact on approach: We'd investigate factors unique to the most impacted segments.

  • Thinking about recent changes, have there been any significant updates to the scheduling system or related features in the past year?

Why it matters: System changes could directly impact utilization rates. Expected answer: A new UI was implemented six months ago. Impact on approach: We'd focus on the impact of recent changes and user adaptation.

  • Regarding competitive landscape, has there been any notable shift in the market or new entrants that might be drawing clinicians away from our platform?

Why it matters: External competition could explain the decline in utilization. Expected answer: No significant new competitors, but existing ones have enhanced their offerings. Impact on approach: We'd analyze our value proposition compared to competitors.

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NextSprints

Updated Mar 29, 2025