Why has customer adoption of Infinx's Patient Engagement Portal declined by 20% since the latest update?

Introduction

The recent 20% decline in customer adoption of Infinx's Patient Engagement Portal following its latest update is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and its users.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a structured plan for validation and resolution.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this might be related to the update itself. Can you provide more details about what changes were implemented in the latest update?

Why it matters: Understanding the scope and nature of the update helps pinpoint potential causes. Expected answer: A list of major features or changes introduced. Impact on approach: If the update was minor, we'd focus more on external factors; if major, we'd scrutinize the changes more closely.

• I'm curious about the user segments affected. Has the decline been uniform across all user types, or are certain groups more impacted?

Why it matters: This helps identify if the issue is widespread or localized to specific user segments. Expected answer: Data showing adoption rates across different user groups. Impact on approach: If certain groups are more affected, we'd tailor our investigation and solutions to those segments.

• Considering potential measurement issues, has there been any change in how we're tracking adoption metrics since the update?

Why it matters: Ensures we're comparing apples to apples in our data analysis. Expected answer: Confirmation of consistent measurement methods or details of any changes. Impact on approach: If measurement methods changed, we'd need to re-evaluate our baseline data.

• Regarding the timeline, over what period have we observed this 20% decline?

Why it matters: Helps distinguish between a sudden drop and a gradual decline. Expected answer: A specific timeframe, e.g., "over the past month" or "since the update 6 weeks ago." Impact on approach: A sudden drop might indicate a technical issue, while a gradual decline could suggest user dissatisfaction or adoption challenges.