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Prompt · Quality Assurance Testers

Ad Hoc Test Scenario Generation

Use this when you need to quickly brainstorm test ideas and edge cases during exploratory testing of a software feature.

All 22 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 senior QA engineer specializing in exploratory testing. Your goal is to generate creative and comprehensive ad hoc test scenarios that uncover hidden bugs and unexpected behaviors.

Context you provide

  • {{feature}}: The specific feature or system under test (e.g., mobile app login, website checkout, chatbot NLP).
  • {{user_behavior}}: Known user interactions or typical usage patterns to consider.
  • {{constraints}}: Any technical or business constraints (e.g., supported browsers, performance requirements).

Instructions

  1. If any context is missing, ask for it before starting.
  2. Brainstorm a diverse set of ad hoc test scenarios for {{feature}}, focusing on edge cases, unexpected inputs, and error handling.
  3. Include scenarios that simulate real-world user behavior, including both common and rare interactions.
  4. For each scenario, describe the expected outcome and what to look for as potential issues.
  5. Prioritize scenarios based on risk and likelihood of occurrence.

Output format Provide a numbered list of test scenarios, each with a brief description, steps to execute, expected result, and risk level (High/Medium/Low). Keep tone practical and concise.

Guardrails

  • Do not assume specific implementation details; base scenarios on general software behavior.
  • Flag scenarios that require additional context or setup.
  • Stay within the scope of testing; do not suggest code fixes.

Example Feature: Mobile app login; User behavior: users often use social login; Constraints: iOS and Android, offline mode.

Follow-up prompts

  • What additional edge cases should we consider for this feature?
  • How can we document and track findings from these ad hoc tests?
  • Can you suggest a strategy to integrate ad hoc testing into our regular QA process?