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Product Management Root Cause Analysis Question: Facebook login security features impacting user satisfaction

Asked at Meta

15 mins

A user satisfaction survey was conducted for two groups of facebook users (each with a 50k sample size). Group 1: Enabled certain login security features (Experiment). Group 2: Did not enable these security features. It was found that user satisfaction with Group 1 was 30% lower than with Group 2. Why do you think are the reasons? Comment on how the survey was conducted.

Data Analysis Problem-Solving User Experience Design Social Media Cybersecurity Tech
User Experience Product Analytics Facebook Root Cause Analysis Security

Introduction

The recent user satisfaction survey comparing Facebook users who enabled certain login security features with those who didn't has revealed a significant 30% drop in satisfaction for the group with enhanced security. This discrepancy raises important questions about the implementation and impact of these security measures on the user experience. I'll analyze this issue systematically to uncover potential root causes and propose solutions.

My approach will involve clarifying the context, ruling out external factors, understanding the product and user journey, breaking down the metric, gathering data, forming hypotheses, conducting root cause analysis, and proposing validation methods and next steps. This structured process will help us identify the core issues and develop effective solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • What specific login security features were enabled for Group 1?

  • How was user satisfaction measured in the survey?

  • Were there any recent changes to the login process or security features?

  • What is the demographic breakdown of the two user groups?

Why this matters: Understanding the specific features and measurement methods is crucial for accurate analysis. Hypothetical answer: Two-factor authentication and login alerts were enabled. Impact: This would focus our investigation on these specific features and their implementation.

Why this matters: The measurement method could influence the results and our interpretation. Hypothetical answer: Users rated their overall experience on a 1-5 scale. Impact: We'd need to consider if the survey questions adequately captured security-related satisfaction.

Why this matters: Recent changes could directly correlate with the satisfaction drop. Hypothetical answer: A new password complexity requirement was introduced last month. Impact: This would be a key area to investigate for potential usability issues.

Why this matters: Demographic differences could explain varying attitudes towards security measures. Hypothetical answer: Both groups have similar age and geographic distributions. Impact: We can rule out demographic factors and focus on the security features themselves.

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