Quality Assurance Audit (QA)
Quantitative & Qualitative mix:
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Quantitative data answers what is happening using numbers
(e.g., error counts, completion rates, time on task, crash frequency) -
Qualitative data answers why it’s happening using observations and feedback
(e.g., player confusion, frustration, comments, observed behavior)
​
Best Stage: Alpha → Beta → Ongoing Development
Primary Goal: Finding bugs, crashes, logic errors, and rule violations before release
Effort: High
Overview
​A QA audit (Quality Assurance audit) is a structured review of a game’s systems, mechanics, or user experience to identify bugs, inconsistencies, usability issues, and performance risks. It’s typically performed by QA analysts but can also inform game designers and researchers about where player-facing problems might occur.
Why QA Audits Matter
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Catch issues early that can affect player trust, retention, or monetization
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Improve player experience by flagging confusion, bugs, or slowdowns
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Provide valuable data that guides playtesting focus or user research questions
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Prevent last-minute crunch by reducing unknowns before launch or beta
QA audits can be paired with heuristic evaluations or analytics to cross-validate findings and prioritize what to fix or test next.
Resources:
Pixel QA. (n.d.). Types of game testing for quality assurance. Pixel QA. https://www.pixelqa.com/blog/post/types-of-game-testing-for-quality-assurance