Why has Nomad Health's healthcare facility onboarding process seen a 50% slowdown in completion times over the past quarter?

Introduction

Nomad Health's healthcare facility onboarding process has experienced a 50% slowdown in completion times over the past quarter, raising concerns about efficiency and potential impacts on the platform's growth. This analysis will systematically identify, validate, and address the root cause of this issue, considering both immediate and long-term implications for the product and business.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this slowdown coincided with any particular healthcare industry cycles or events?

Why it matters: Seasonal trends could explain temporary fluctuations and inform our solution approach. Expected answer: No significant seasonal trends identified. Impact on approach: If seasonal, we'd focus on temporary adjustments; if not, we'd look deeper into internal processes.

• Considering user segments, I'm curious about the distribution of this slowdown. Is the 50% slowdown consistent across all types of healthcare facilities, or are certain segments more affected?

Why it matters: Identifying specific user segments could point to targeted issues or changes in the onboarding process. Expected answer: The slowdown is more pronounced in smaller, rural facilities. Impact on approach: We'd investigate factors specific to rural healthcare onboarding if confirmed.

• Thinking about recent changes, have there been any updates to the onboarding process or related systems in the past quarter?

Why it matters: Recent changes could directly correlate with the observed slowdown. Expected answer: A new compliance check was added to the process. Impact on approach: We'd focus on optimizing this new step if it's confirmed as a bottleneck.

• Regarding performance metrics, has the definition or measurement method for completion times changed recently?

Why it matters: Ensures we're comparing apples to apples and not misinterpreting data due to measurement changes. Expected answer: No changes in metric definition or measurement. Impact on approach: If changed, we'd recalibrate our analysis; if not, we'd focus on actual process changes.