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:

    1. Machine Learning Validation: Developed test cases to validate the accuracy of machine learning models used for email filtering.

    2. Performance Testing: Conducted performance testing using JMeter to optimize email delivery speed.

    3. 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.

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