Quality Assurance Workflow/Implementation for AI projects by Heather ShawcrossQuality Assurance Workflow/Implementation for AI projects by Heather Shawcross
Quality Assurance Workflow/Implementation for AI projectsHeather Shawcross
Cover image for Quality Assurance Workflow/Implementation for AI projects
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.
Contact for pricing
Tags
C#
Node.js
Playwright
React
TypeScript
Frontend Engineer
UX Engineer
Web Developer
Service provided by
Heather Shawcross Virginia Beach, USA
Quality Assurance Workflow/Implementation for AI projectsHeather Shawcross
Contact for pricing
Tags
C#
Node.js
Playwright
React
TypeScript
Frontend Engineer
UX Engineer
Web Developer
Cover image for Quality Assurance Workflow/Implementation for AI projects
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.
Contact for pricing