Why has customer satisfaction for Atomic's Income Verification service declined by 10 points since the latest update?

Introduction

The recent 10-point decline in customer satisfaction for Atomic's Income Verification service is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Our approach will involve a thorough examination of the problem, generation of data-driven hypotheses, and development of a comprehensive action plan. We'll start by clarifying the context, then rule out external factors before diving deep into the product's user journey, metric breakdown, and potential internal causes.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a correlation with the latest update. Could you provide more details about what changes were implemented in this update?

Why it matters: Understanding the scope and nature of the update helps pinpoint potential causes. Expected answer: A list of feature changes or backend modifications. Impact on approach: Directs focus to specific areas of the product that may be causing issues.

• Considering user segments, I'm curious if this decline is uniform across all user types. Have you noticed any particular user segments more affected than others?

Why it matters: Identifies whether the issue is widespread or localized to specific user groups. Expected answer: Data showing variation (or lack thereof) in satisfaction across user segments. Impact on approach: Helps narrow down potential causes and tailor solutions to affected groups.

• Regarding the time frame, I'm wondering about the speed of this decline. Was this a gradual decrease over time or a sudden drop following the update?

Why it matters: Helps distinguish between immediate update-related issues and slower-developing problems. Expected answer: A timeline of the satisfaction score changes. Impact on approach: Influences the urgency of response and the types of solutions to consider.

• Thinking about data integrity, I'm concerned about potential changes in measurement. Has there been any modification to how customer satisfaction is measured or reported recently?

Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: Confirmation of consistent measurement methods or details of any changes. Impact on approach: If measurement changes are found, it could significantly alter our root cause analysis direction.