Calculator Form
Use 0 to 10 for each criterion score. Use 1 to 10 for each weight. Higher weights give that criterion more influence.
Example Data Table
| Example | Task Type | Clarity | Context | Specificity | Safety | Grounding | Final Score |
|---|---|---|---|---|---|---|---|
| Policy Summary Prompt | Summarization | 8.5 | 8.0 | 7.5 | 9.0 | 8.2 | 84.70 |
| FAQ Extraction Prompt | Extraction | 9.0 | 7.8 | 8.7 | 8.5 | 8.0 | 87.90 |
| Customer Reply Draft Prompt | Text Generation | 7.2 | 6.8 | 7.0 | 8.1 | 6.5 | 74.35 |
Formula Used
This calculator applies a weighted scoring model to judge the quality of a prompt example across several prompt-engineering dimensions. Each score uses a 0 to 10 scale. Each weight uses a 1 to 10 scale.
The penalty makes the result more realistic. A prompt example should not score highly overall when a critical area is dangerously weak.
How to Use This Calculator
- Enter the prompt example name, task type, evaluator, and benchmark target.
- Score each criterion from 0 to 10 based on observed quality.
- Assign a weight from 1 to 10 to reflect business importance.
- Click the calculate button to generate the score above the form.
- Review the final score, grade, benchmark gap, and consistency index.
- Use the criteria breakdown and recommendations to revise the prompt example.
- Export the result to CSV or PDF for reporting, audits, or comparison logs.
Frequently Asked Questions
1. What does this calculator measure?
It measures how strong a prompt example is across clarity, context, specificity, constraints, safety, formatting, grounding, example quality, and testability.
2. Why are weights included?
Weights let you emphasize what matters most. For regulated workflows, safety and grounding may deserve more influence than stylistic output preferences.
3. Why can a low score create a penalty?
A prompt can look strong overall while still failing in a critical area. The penalty prevents unsafe or weakly grounded prompts from appearing deceptively ready.
4. What is a good benchmark target?
Many teams use 80 to 90 for mature prompt libraries. Early-stage prototypes may use a lower benchmark until testing standards improve.
5. How should I score clarity?
Clarity reflects whether the task is unambiguous, understandable, and easy to follow. A clear prompt reduces model drift and unnecessary interpretation.
6. What does consistency index tell me?
It shows how balanced the prompt is across criteria. A higher index means fewer weak spots and more even prompt quality.
7. Can I use this for prompt A/B testing?
Yes. Score two or more prompt examples using the same weight profile. Then compare final scores, benchmark gaps, and weak areas consistently.
8. Is the final score enough for deployment approval?
No. Use it as a structured review aid. Final approval should still include live testing, failure analysis, policy checks, and human review.