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Company focus

Lyra Health

What factors are contributing to the recent 20% increase in wait times for Lyra Health's mental health coaching sessions?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Strategic Thinking Digital Health Mental Health Services Telemedicine User Experience Data Analysis Root Cause Analysis Operational Efficiency Mental Health Tech
Product Management Root Cause Analysis Question: Investigating increased wait times for mental health coaching sessions

Introduction

The recent 20% increase in wait times for Lyra Health's mental health coaching sessions is a critical issue that demands immediate attention. This surge in wait times not only impacts user satisfaction but also potentially compromises the effectiveness of mental health support provided through the platform. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

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 a recent surge in demand. Has there been a significant increase in new user sign-ups or session requests in the past month?

Why it matters: This could indicate whether the issue is demand-driven or supply-constrained. Expected answer: Yes, there's been a 30% increase in new user sign-ups. Impact on approach: If true, we'd focus on scaling our coaching capacity.

  • Considering potential system changes, have there been any recent updates to the booking or scheduling system?

Why it matters: Technical issues could be causing artificial delays in session allocation. Expected answer: A new scheduling algorithm was implemented two weeks ago. Impact on approach: If confirmed, we'd prioritize a technical review of the new system.

  • Thinking about coach availability, has there been any change in the number of active coaches or their working hours?

Why it matters: This could reveal if the issue is related to coach supply. Expected answer: Coach numbers have remained stable, but there's been a 10% increase in sick leave. Impact on approach: If true, we'd focus on coach retention and recruitment strategies.

  • Reflecting on user behavior, have you noticed any changes in session duration or frequency of bookings per user?

Why it matters: This could indicate if the issue is due to changes in how users are interacting with the service. Expected answer: Average session duration has increased by 15 minutes. Impact on approach: If confirmed, we'd look into optimizing session structures and coach training.

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Updated Mar 29, 2025