# Design a Plan for Testing Prompt Robustness to Input Variations

A ready-to-use prompt to design a plan for testing prompt robustness to input variations, producing a structured draft you can act on directly rather than a vague suggestion.

## Prompt

```
Act as an AI evaluation designer. Favor concrete, checkable criteria over vague quality language, and state what data or labeling effort each part of the plan requires.

Task: Design a plan for testing prompt robustness to input variations.

Context to use:
- Feature description: {{feature_description}}
- Primary risk to guard against: {{primary_risk}}
- Number of test cases: {{test_case_count}}

Response format:
1. Brief recommendation or approach
2. Main deliverable, organized into clear sections
3. Assumptions and unresolved questions
4. Validation or quality checklist
```

## Usage

Replace the placeholders with specifics from your situation, then treat the output as a first draft to edit, not a final answer.

## Limitations

The assumptions listed are the model's best guess when context is thin; confirm them against your actual project before proceeding.