Featured Video: Small steps you can take to leverage Big Data

Is data in Game QA testing just a buzzword? Here’s why it matters more than you think!

In this talk from 2023, Tom Dieterich, QA Manager, explores how data can be leveraged to strengthen testing strategies, improve outcomes, and support smarter decision-making across development teams.

When many people think about QA, they immediately think of bugs, test cases, and defect tracking. While these are important, they’re only part of the picture.

Data plays a critical role in modern Game Quality. It helps teams identify trends, prioritize effectively, make informed decisions, and focus their efforts where they’ll have the greatest impact.

Data is not just a buzzword; it’s a critical asset in game development. Many professionals ask, “How do you use data to drive your testing?” Surprisingly, the response often centers around basic concepts like bugs and test cases. This limited view can prevent teams from fully utilizing the data available to them.

To maximize the impact of data in your QA processes, consider the strategies talked about in this video.

Data is a game changer in quality assurance. By understanding its importance and leveraging it effectively, QA professionals can enhance their testing processes and provide valuable insights that drive decision-making.

Remember, the goal is not to replace testing with data but to use data to inform your testing strategy.

Key Timestamps:

0:00-1:15 – Introduction of talk by Chelsea Curran Adams

1:23 – Introduction by Tom Dieterich, discussing his background in video games and the purpose of the talk

3:06 – Importance of Data: Explanation of why data is crucial in decision-making and QA processes

5:37 – Using Data Effectively: Discussion on how data allows for more efficient testing and decision-making.

9:22 – Case Study: Example of using data to improve testing speed and accuracy in a racing game.

14:12 – Data-Driven Testing: Insights into implementing data-driven testing in a card game.

18:00 – Q&A Session: Start of the Q&A session with questions about telemetry and AI in testing.

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