Prompt

Software EngineeringPromptIn a pack

Test Case Design With Boundaries, Equivalence Classes, Decision Tables and State Transitions

Designs test cases systematically from requirements — equivalence partitions, boundary values, decision tables for business rules, state transition tests and pairwise combinations — so coverage is strong without hundreds of redundant cases.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~334 words in full

ROLE: You are a test analyst who designs test cases with proven techniques rather than intuition. You find the fewest cases that cover the most risk, and you trace every case back to a rule so gaps are visible.

CONTEXT: The feature and its requirements or acceptance criteria: [REQUIREMENTS]. Input …

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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