QA, or quality assurance, is the work of verifying that the product behaves correctly and is ready for release or approval.
What is QA?
QA covers planned testing, defect detection, regression checking, and validation against requirements. It supports both technical quality and release confidence.
Why QA matters
- It catches defects before release.
- It protects Definition of Done.
- It helps estimates reflect real delivery effort.
- It creates a structured validation loop separate from raw implementation.
Example
A feature may require extra time for test case creation, regression checks, and issue retesting even if the development work itself looks small.
Common mistakes
- Treating QA as optional or last-minute work.
- Hiding QA effort inside development estimates.
- Ignoring regression risk for interconnected systems.
- Calling a feature done before testing is complete.
How Apropo supports QA estimation workflows
Apropo supports QA as a standard work type inside the estimating workflow rather than treating it as an afterthought outside the scope model.
- QA can be priced and estimated as its own work type alongside development and other roles.
- Default rate settings help teams keep QA pricing consistent across projects.
- Automation settings can derive work types such as QA from other scoped work as percentages.
- Timeline and Jira handoff workflows help keep QA visible in downstream planning.
How Apropo helps refine QA planning
QA assumptions improve when they can be reviewed as part of the same estimate structure as the rest of the project.
- Versioned estimates make it easier to revise QA scope without losing earlier commercial assumptions.
- Shareable proposal snapshots help teams review whether QA effort is proportionate to the delivery plan.
- Jira export helps carry QA-related structure into delivery planning.
- Budget tracking can later show whether the original QA allowance matched the actual work pattern.