Writing Effective AI Interpretation Prompts

Why It Matters

When you use AI to interpret your assessment results, the quality of your prompt directly impacts the clarity, usefulness, and professionalism of the output. A well-written prompt helps the AI deliver accurate, well-formatted insights that integrate smoothly into your final reports.

Key Tips for Writing AI Prompts

1. Be Clear and Specific

State exactly what you want the AI to do.
Examples:
✔️ Good: “Summarize the strengths and weaknesses shown in the results below.”
❌ Too vague: “Write something about this.”
 

2.  Give Context

Tell the AI what the data means.
Example: “Use the following scores to evaluate the team’s leadership capabilities.”

Include relevant background if needed.
Example: “Assume the audience is a senior manager with no technical background.”
 

3. Use Merge Strings Thoughtfully

Merge strings insert data directly into your prompt.
Example: "The following answer is about the underlying technology in the product being assessed for investment: {ResponseAnswer.AnswerText[S3 SS3 Q10]}. Please explain any jargon that may be unclear to a non-technical investor and outline potential risks associated with the underlying technology being used."
 

4. Specify the Desired Format

Tell the AI how to present the answer.
Example:
“Provide a 3-paragraph summary.”
“List recommendations as bullet points.”
“Write in complete sentences.”
 

5. Set the Tone

If the interpretation is part of a client-facing report, say so.
Example:
“Use a positive and professional tone.”
“Keep the language simple and encouraging.”

Example Prompt:

“Below are the scores for this participant:
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Write a short summary (max 150 words) interpreting these scores. Highlight two strengths and one area for development. Use clear, supportive language appropriate for a business report.”

Good to Know

1. Test your prompts! Run a few examples to check the results.

2. Refine as needed. Small wording changes can improve output quality.