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Manager’s AI Prompt Quality Scorecard

A practical 20-point check to improve an AI prompt before you rely on its output at work.

Better AI output usually begins with a clearer request. Use this scorecard before submitting an important workplace prompt—or when diagnosing an answer that feels generic, incomplete or unreliable.

How to use it: Check each statement that is true of your prompt. Each checked item earns one point. The score helps you improve the prompt; it does not guarantee that the resulting AI output is accurate or appropriate.
1. Purpose and audience

Define what the prompt must achieve and who will use the result.

2. Context and inputs

Supply the information the AI needs to understand the task.

3. Constraints and boundaries

State the limits, requirements and safeguards that shape the answer.

4. Reasoning and evidence

Ask for transparent reasoning, reliable support and meaningful alternatives.

5. Review and action

Make human review, accountability and next steps explicit.

Your prompt score: 0/20 Start checking the statements below.
0–5: RebuildAdd the purpose, audience and essential context before proceeding.
6–10: ClarifyThe direction is visible, but important inputs and boundaries are missing.
11–15: StrengthenThe prompt is usable; improve evidence, constraints and review instructions.
16–20: Ready to testThe prompt is well structured. Test the output and apply human review.
Important: A high score measures prompt completeness—not truth, safety or fitness for purpose. Always verify consequential outputs using appropriate sources and expertise.

Frequently asked questions

Does a high score guarantee a good AI answer?

No. It improves the conditions for a useful response, but AI can still misunderstand context, invent information or produce inappropriate recommendations.

Should every prompt score 20?

No. A low-risk drafting task may not require every item. Higher-impact work generally needs stronger evidence, constraints and human review.

Can teams adapt this scorecard?

Yes. Add organisation-specific requirements for privacy, security, compliance, brand voice and approval.