QA Framework
Overview
Inconsistencies between design specifications and implemented features were a recurring friction point for the team. Design reviews were either skipped before releases or rushed into approval, and the follow-up work that resulted was something no one had capacity for.
I developed a Design QA & Handoff Framework: a structured validation process for reviewing usability, accessibility, and implementation readiness before development handoff or release.
The initiative was tied to the Design Team's OKRs on cross-functional collaboration and product consistency, but the motivation was practical: the team needed a shared language for what "ready" actually meant.
What the Framework Includes
The framework consists of five components, each targeting a specific gap in the existing handoff process:
Core UX/UI QA Checklist
A pre-release checklist covering navigation, accessibility, responsiveness, and UX writing.Extended UX Review
Optional checks for complex flows, system feedback states, and mobile considerations.Issue Severity Framework
A prioritization model for categorizing UX issues by severity and impact, aligned with the team's existing Jira workflow.Design QA Status
A shared status system that gives designers and developers a clear, immediate signal on whether a feature can move forward or needs revision.Release Validation Template
A structured review template for evaluating implemented features and tracking outstanding revisions before launch.
Outcome
The framework didn't make the process faster. It made it visible. Everyone understood what was being checked during a handoff, why, and what the criteria were for moving forward.
Accessibility and usability issues were caught earlier. The gap between design intent and implementation narrowed. And design reviews went from something that could be skipped to something with a clear, documented status.
v2.0 Update
Early 2026, I revisited this framework to account for how AI tools have changed the design QA landscape. The update maps every checklist item to one of three AI-assist levels: automatable, AI-assisted, and human-only.
New in v2.0:
Design system compliance checks (token usage, component adherence, naming conventions) and a state coverage category for complex flows. The status model now includes "Conditionally approved" for shipping with noted low-severity issues. The release validation snapshot adds a deviation log for tracking intentional vs. unintentional implementation differences.
UX/UI Design QA Toolkit
To make the framework reusable, I converted it into a Figma template that teams can adapt to their own workflows.