GenAI Test Case Generation
Leverage Generative AI to convert application walkthroughs into optimised, granular test cases ready for automation - reducing manual effort while ensuring high-quality coverage.
Modern software testing demands efficiency, coverage, and precision. Nogrunt leverages Generative AI to convert application walkthroughs into optimised, granular test cases ready for automation, reducing manual effort while ensuring high-quality coverage.
Input Methods
The platform accepts application walkthroughs through three approaches, each designed to capture context in the way that works best for your team.
- Video + Audio Recording - Testers perform application flows while recording video and narrating steps, logic, and conditions. Greater detail produces richer test case generation.
- Screenshots + Documentation - Testers submit screenshots with explanatory text for each step, providing a structured alternative to video.
- Figma Designs - UI/UX designs can be analysed to understand user flows and interactions directly from your design files.
Workflow Process
Nogrunt follows a three-step process to turn raw input into automation-ready test cases.
- Contextual Mapping - The system analyses inputs to create a contextual map capturing screens, interactions, logic flows, and decision points.
- Requirements Input - Test objectives are provided to define scope and coverage targets.
- Test Case Generation - The system merges the contextual map with requirements to produce granular, detailed, and optimised test cases ready for automation.
Key Benefits
This approach bridges human intuition with automated testing by capturing application context through walkthroughs, producing detailed, automation-ready test cases that reduce testing effort while improving accuracy and accelerating release cycles.
- Efficiency - Record walkthroughs instead of drafting extensive documentation.
- Automation-Ready - Generated test cases enable direct scripting by testers, bots, or AI scripts.
- Comprehensive Coverage - AI understands context including logic branches and workflows.
- Flexible Input Options - Supports video/audio, screenshots, or Figma designs.
- Optimised Results - Avoids redundancy while maximising functional coverage.