SynthQA

AI Test Case Generator Guide

Generate comprehensive, AI-powered test cases from requirements. Choose between regular generation or cross-platform testing for multi-device consistency.

Guide
Getting started

Overview

What the AI Generator does
Transform requirements into production-ready test cases using advanced AI models.
  • Generate test cases from natural language requirements
  • Choose from multiple AI models (Claude, GPT)
  • Customize test count and coverage depth
  • Save templates for consistent generation across projects
  • Generate platform-specific tests (Web, Mobile, API, Accessibility, Performance)
Prerequisites
What you need before generating test cases.
  • Active SynthQA account
  • Clear requirements (quick entry or saved requirements)
  • Understanding of your test coverage needs
Choose your approach

Generation Types

Regular vs. Cross-Platform
Two generation modes for different testing needs.

Regular Test Cases

Generate traditional test cases for specific requirements or features.

  • • Focused on single feature/requirement
  • • Quick setup and generation
  • • Flexible requirements input
  • • Save and reuse requirements

Cross-Platform Testing

Generate platform-optimized tests for Web, Mobile, API, and more.

  • • Test across multiple platforms
  • • Framework-specific test cases
  • • Ensure cross-platform consistency
  • • Separate suites per platform
FeatureRegular GenerationCross-Platform
Best forSingle feature testingMulti-platform consistency
OutputOne test suiteSuite per platform
Setup complexitySimpleModerate (platform selection)
Use templates✓ Supported✓ Supported
Step-by-step

Regular Test Case Generation

Multi-device

Cross-Platform Testing

Cross-platform workflow
Generate platform-specific test suites in one operation.

Cross-platform testing generates separate test suites optimized for each selected platform and framework.

Web Application
Browser testing
Mobile App
iOS/Android
API/Backend
REST/GraphQL
Accessibility
WCAG compliance
Performance
Load testing

Efficiency

Using Templates

Template system
Save and reuse your preferred generation settings.
What templates save:
  • AI model selection
  • Test case count
  • Coverage level
  • Optional: edge cases and negative test preferences
Template categories:
Functional: Standard feature testing
Security: Auth, permissions, encryption
Performance: Load, stress, response times
Integration: API, third-party services
Regression: Existing feature validation
Accessibility: WCAG, screen readers

Options

AI Models

Choosing the right model
Different models offer different tradeoffs in speed, cost, and quality.
Claude Sonnet 4.5
Recommended
Best for: Most test generation tasks
Speed: Fast (10-15 seconds)
Quality: Excellent balance
Use when: You need reliable, thorough test cases quickly
Claude Haiku 4.5
Fastest
Best for: Quick iterations, drafts
Speed: Very fast (5-8 seconds)
Quality: Good for simple requirements
Use when: You need rapid generation for straightforward tests
Claude Opus 4.5
Maximum Quality
Best for: Complex, critical features
Speed: Slower (20-30 seconds)
Quality: Highest depth and creativity
Use when: Testing complex business logic or security-critical flows
GPT Models (4o, 4o-mini, 5, 5.2)
Alternative models with different strengths. GPT-4o offers fast, reliable results; GPT-5 series provides cutting-edge reasoning for complex scenarios.
Depth

Coverage Levels

Understanding coverage levels
Coverage determines how thorough and comprehensive your test cases will be.
Standard Coverage
Includes:
  • Happy path scenarios
  • Basic positive test cases
  • Core functionality validation
  • Common user workflows
Best for: Quick validation, smoke testing, initial feature checks
Comprehensive Coverage
Default
Includes:
  • All standard coverage
  • Edge cases and boundary conditions
  • Negative test cases
  • Input validation scenarios
  • Error handling paths
Best for: Production features, regression testing, standard QA cycles
Exhaustive Coverage
Includes:
  • All comprehensive coverage
  • Extensive boundary testing
  • Complex interaction scenarios
  • State transition coverage
  • Security and permission tests
  • Performance edge cases
  • Rare but critical scenarios
Best for: Critical features, security-sensitive flows, compliance requirements
Quality

Best Practices

Writing effective requirements
The quality of your test cases depends on the clarity of your requirements.
✅ Do
  • Be specific about expected behavior
  • Include validation rules and constraints
  • Mention error states and messages
  • Specify data types and formats
  • List user actions step-by-step
  • Include boundary values (min/max)
❌ Avoid
  • Vague or ambiguous descriptions
  • Missing validation criteria
  • Assuming implicit behavior
  • Overly technical jargon without context
  • Single-line requirements
  • Mixing multiple features in one requirement
Test case organization
Structure your generations for maintainability.
  • One requirement or feature per generation
  • Use descriptive titles that indicate scope
  • Tag test cases with relevant labels after generation
  • Group related generations by feature area
  • Use projects to organize by sprint or release
Model selection strategy
Choose models based on requirement complexity.
Haiku 4.5
• Simple CRUD operations
• Basic form validation
• Straightforward UI flows
Sonnet 4.5
• Most features (80% of cases)
• Multi-step workflows
• Standard business logic
Opus 4.5
• Complex algorithms
• Security-critical features
• State management systems
Performance

Optimization Tips

FAQ

Frequently Asked Questions

Help

Support

Getting help
Resources and contact information for assistance.
Contact options:
  • Email: support@synthqa.app
  • Use the feedback button in the dashboard
  • Check our knowledge base for common issues
When reporting generation issues, include:
  • Your requirement description
  • Selected model and settings
  • What you expected vs. what was generated
  • Generation ID (if available)
Last updated: January 2026 · Guide version: 1.0