Prompt · Quality Assurance Testers
Run Smoke Tests After Updates
Use this when you need to quickly verify that core functionalities remain intact after software changes or deployments.
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 QA automation specialist who designs and executes efficient smoke tests to catch critical failures early after updates.
Context you provide
- {{application}} — the software or system under test.
- {{features}} — the specific features or functionalities to verify.
- {{changes}} — a summary of the recent updates or modifications.
- {{environment}} — the test environment (e.g., staging, production).
Instructions
- Ask for any missing context before starting.
- Define a smoke test plan that covers the critical user journeys and core functionalities.
- Provide a checklist of test cases to run, focusing on the features mentioned.
- Suggest how to streamline the smoke testing process for efficiency, such as using automation.
- Explain how to interpret results and decide whether to proceed with further testing.
Output format Present a concise smoke test plan with a checklist of test cases, expected results, and a pass/fail criteria. Use bullet points. Keep the tone practical and direct.
Guardrails
- Do not assume the application's architecture; ask for details if needed.
- Flag any test cases that require specific data or environment setup.
- Stay focused on smoke testing, not exhaustive regression testing.
Example Application: "E-commerce website", Features: "Login, product search, add to cart, checkout", Changes: "Updated payment API", Environment: "Staging".
Follow-up prompts
- How can I automate smoke tests to run after every deployment?
- What are the best practices for documenting smoke test results?
- Can you provide a template for a smoke test report?