Email Security Reinvented with Email Vault
Reduced false positives and improved email delivery speed for Email Vault, enhancing user satisfaction.
https://emailvault.app/
Email Security and Management
Machine Learning Validation, Performance Testing, Usability Testing
Client Overview
Challenges:
High false positive rates in email filtering causing important emails to be flagged.
Latency issues affecting email delivery speed.
User interface issues reducing overall user satisfaction.
Objectives:
Reduce false positives in email filtering.
Improve email delivery speed.
Enhance the user interface to improve user satisfaction.
Approach
Strategy: Focused on advanced test scenarios for machine learning models, performance testing, and user interface improvements.
Process:
Machine Learning Validation: Developed test cases to validate the accuracy of machine learning models used for email filtering.
Performance Testing: Conducted performance testing using JMeter to optimize email delivery speed.
Usability Testing: Performed usability testing using UsabilityHub to gather user feedback and enhance the UI.
Tools: TensorFlow, JMeter, UsabilityHub.
Results
Outcomes:
Reduced false positive rates by 80%, ensuring important emails are not flagged incorrectly.
Improved email delivery speed by 50%.
Increased user satisfaction by 25% due to a more intuitive UI.
Impact:
Enhanced reliability and user adoption of the Email Vault platform.
Increased customer retention due to improved service quality.
