Quality Assurance Workflow/Implementation for AI projects

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About this service

Summary

Structuring a new QA project around AI test cases.

What's included

  • Quality Assurance - AI Products

    My QA process typically includes: 1. Exploratory Testing: To derive a comprehensive test plan including AI specific test cases for Intent Recognition, Entity Extraction, Dialogue Management, Response Generation, Non-Deterministic Behavior and Bias test cases 2. Automation Test Strategy: Creating a detailed strategy encompassing prioritized test cases, implementation phases, technology stack, environments, risk analysis, execution plan, and failure analysis. 3. Team Collaboration: Working closely with the team to prioritize tests, demo scripts, and integrate tests into the CI/CD process. 4. Continuous Integration: Setting up daily, nightly, and weekly job runs to ensure ongoing quality.

  • Test Plan

    Test plan including AI test cases, UI/UX review, issues found report

  • Test Matrix

    Ensure all requirements are document and any issues found are turned into requirements. Forward and Backward Traceability and KPI reporting

  • Functional/API test scripts

    A suite of automated test scripts

  • Support

    Training, demos and support for developers and PMs.


Skills and tools

UX Engineer
Frontend Engineer
Web Developer
C#
Node.js
Playwright
React
TypeScript

Industries

Artificial Intelligence

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