In data analysis, the accuracy of the prompt has a significant impact on the quality of insights. To improve prompts, one can ask for a score and a suggestion for improvement.Prompts can be rated by:
1️⃣ Clarity – How clear and easy to understand is the prompt?
2️⃣ Specificity – How precise is the prompt in terms of what it is asking for?
3️⃣ Accuracy– Does the prompt truly request what the result is supposed to provide?
Example:
Original prompt: ❌ 'Analyze the data'
🔹 Problematic because it is unclear, non-specific, and imprecise – it doesn't specify which data, which analysis, or which outcome is required.
Improved Prompt Evaluation
Criterion | Score (1-10) | Improvement Notes | Suggested Improved Prompt |
Clarity | 7 | The prompt specifies that the data should be analyzed, but it doesn’t indicate which aspect or outcome is expected. | Analyze the data by segment and year. Identify any key trends in targets versus actual results. |
Specificity | 6 | The prompt is somewhat specific but needs more guidance on the type of analysis and how it should be performed. | Analyze the data by segment, calculate the percentage difference between target and actual results, and identify significant trends. |
Accuracy | 8 | The request is mostly clear but could benefit from additional detail on how to present results. | Calculate the percentage difference between the target and actual figures for each segment and year. Present key findings in a summary. |
Clarity → Makes the prompt less vague.
Specificity → Clarifies what type of analysis is required.
Accuracy → Explains how to perform the analysis and what to present as the result.
"Check my prompts, rate them according to clarity, specificity, and accuracy (on a scale from 1-10), and provide me with a table containing the score, improvement notes, and a suggestion for a corrected prompt."