Why has customer satisfaction for Creditas Soluções Financeiras's digital onboarding process decreased from 90% to 75% since the latest app update?

Introduction

The recent decline in customer satisfaction for Creditas Soluções Financeiras's digital onboarding process, from 90% to 75% following the latest app 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 fixes and long-term strategic implications.

To tackle this problem, I'll employ a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My response will follow a clear agenda, starting with clarifying questions and progressing through external factor analysis, product understanding, metric breakdown, data gathering, hypothesis formation, root cause analysis, validation planning, and resolution strategies.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a correlation between the app update and the satisfaction drop. Could you provide more details about the nature of the latest app update?

Why it matters: Understanding the changes implemented in the update could reveal potential friction points in the onboarding process. Expected answer: Information about new features, UI changes, or backend modifications. Impact on approach: If significant changes were made, we'd focus on those areas first.

• I'm curious about the timeframe of this satisfaction decrease. How long after the app update did you notice the drop in satisfaction rates?

Why it matters: This helps determine if the issue is directly related to the update or if other factors might be involved. Expected answer: A specific timeframe, e.g., "within a week" or "over the course of a month." Impact on approach: A rapid decline would suggest a direct link to the update, while a gradual decrease might indicate other contributing factors.

• Considering the magnitude of the drop, I'm wondering if all user segments are equally affected. Have you noticed any patterns in terms of user demographics or device types experiencing lower satisfaction?

Why it matters: This information helps identify if the issue is universal or specific to certain user groups. Expected answer: Data on satisfaction rates across different user segments or device types. Impact on approach: If specific segments are more affected, we'd tailor our solutions to address their unique needs.

• Given the focus on the onboarding process, I'm interested in understanding if there have been any changes in the types of users signing up recently. Has there been any shift in the target audience or marketing strategies?

Why it matters: Changes in the user base could explain satisfaction fluctuations if the onboarding process hasn't adapted accordingly. Expected answer: Information about recent marketing campaigns or shifts in user acquisition strategies. Impact on approach: If there's been a significant change in the user base, we might need to reassess the onboarding process for new audience segments.