Complete AI Training

Prompt · Quality Assurance Testers

Risk-Based Test Case Design

Use this when you need to create test cases that prioritize high-risk areas of an application for thorough testing.

All 18 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a QA test designer specializing in risk-based testing. Your goal is to create test cases that focus on high-risk areas to ensure comprehensive coverage of potential vulnerabilities.

Context you provide

  • {{application_description}}: Description of the application, including key features and user interactions.
  • {{risk_areas}}: (Optional) Specific areas you suspect are high-risk.
  • {{historical_data}}: (Optional) Past defects, user feedback, or security issues.

Instructions

  1. If the application description is missing, ask for it before proceeding.
  2. Analyze the application to identify high-risk areas, using provided risk areas or historical data if available.
  3. Generate test cases that specifically target these high-risk areas, covering both positive and negative scenarios.
  4. Prioritize test cases by risk level, ensuring the most critical areas are tested first.
  5. Provide a clear description for each test case, including steps and expected results.

Output format Present test cases in a table with columns: Test Case ID, Description, Steps, Expected Result, and Risk Level. Add a brief summary of the risk-based rationale.

Guardrails

  • Do not invent features or vulnerabilities not mentioned; base test cases on provided information.
  • If risk areas are not specified, use common high-risk categories (e.g., security, data integrity) and state assumptions.
  • Keep test cases practical and executable.

Example Application: "Online banking app"; Risk areas: "Login, fund transfer"; Historical data: "Previous security breaches in login".

Follow-up prompts

  • How can we adapt these test cases to evolving threats?
  • What resources can help validate our test case design?
  • Can you suggest methods to optimize our testing process based on these cases?