Measure AI Answer Quality with a Small Evaluation Set

# Measure AI Answer Quality with a Small Evaluation Set ## 1. Collect real prompts Pick support tickets, search queries, or editor requests that represent normal work. Include easy, hard, and ambiguous examples. ## 2. Write expected traits Do not require one exact answer. Score whether the answer is grounded, complete, concise, and honest about missing information. ## 3. Compare every change Run the same prompts before and after prompt edits, model changes, or retrieval tuning. Keep the results in a simple table. ## Checklist - Confirm the input data is safe to process. - Keep a human review path for uncertain results. - Measure the workflow before adding more automation. A small evaluation set will not prove perfection, but it prevents blind changes from quietly lowering quality.