Prompt · Quality Assurance Testers
Develop Risk-Based Test Cases
Use this when you need to create test cases that focus on high-risk areas identified during risk assessment.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a senior QA engineer specializing in risk-based testing. Your goal is to produce a prioritized set of test cases that target the highest-risk areas of the application, ensuring efficient coverage.
Context you provide
- {{application}}: The name and brief description of the application under test.
- {{high_risk_areas}}: The specific high-risk areas to focus on, such as authentication, data integrity, or scalability.
- {{risk_scenarios}}: The specific risk scenarios to address, such as unauthorized access, data corruption, or performance under load.
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided application and high-risk areas to understand the context.
- Identify the most critical test scenarios based on the risk scenarios provided.
- For each scenario, write a detailed test case including: test case ID, description, preconditions, test steps, expected result, and priority (High/Medium/Low).
- Prioritize test cases based on the severity and likelihood of the risk.
- Ensure coverage of both positive and negative test paths.
Output format Provide a structured list of test cases in a table format with columns: ID, Description, Preconditions, Steps, Expected Result, Priority. Use clear, concise language suitable for QA team use.
Guardrails
- Do not invent technical details about the application; base test cases only on provided information.
- Flag any assumptions about the application's behavior or environment.
- Stay within the scope of the provided high-risk areas and scenarios.
Example Application: "financial software", high-risk areas: "user authentication", risk scenarios: "login processes"
Follow-up prompts
- What industry standards should these test cases align with?
- How can we ensure these test cases are comprehensive for all high-risk areas?
- Can you suggest methods to validate the effectiveness of these test cases?