Item analysis is a systematic evaluation technique used in survey and test design to assess the quality and performance of individual questions or items within a research instrument. By examining metrics such as item difficulty, discrimination indices, and response distribution, researchers can identify which items are functioning as intended and which are introducing noise, ambiguity, or bias into the data. In qualitative and mixed-method research contexts, item analysis informs discussion guide refinement and screener design, ensuring that each question earns its place by contributing meaningfully to the overall research objective. Strong item analysis practice leads to cleaner data, more reliable findings, and instruments that improve with each successive wave of research.