First, we feed the AI a detailed use case description. For the best results, include preconditions, main flows, and alternative flows. This rich context helps the AI deliver a more accurate and comprehensive analysis. You can also generate a high-quality description using our AI Use Case Description Generator.

With the description in place, simply click the “Identify Use Case Scenarios & Core Test Cases” button. Our AI engine will then parse the text to understand its logical structure.

In moments, the AI produces a complete analysis. It automatically extracts all relevant Conditions and Actions, presenting them as clear, easy-to-read lists. The most powerful output is the Decision Matrix, which maps every scenario to its specific conditions and outcomes.

Finally, click Export to HTML to save a standalone copy of the analysis. This makes it easy to share with your team, attach to project documentation, or use as a basis for writing formal test cases.

With this detailed analysis, you have a solid foundation for the next phases of your project. You can now:
Use the matrix to build comprehensive test scenarios for your QA team.
Present this analysis to your team to ensure everyone agrees on the requirements.
Hand this clear, unambiguous document to developers to reduce rework.
Leverage the detailed scenarios for more accurate time and resource estimates.