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Obtaining measurable differences in constructs of interest for short duration treatments is often difficult, and sometimes practitioners have limited options for instrumentation, including insensitive instruments. This paper explains three methods borne of operational needs that have increased the utility of existing instruments by reducing construct irrelevant variance (CIV): (1) following up on reasons for lack of obtaining positive change scores, (2) reframing surveys as structured interviews, and (3) extending factor analytic scales. These methods have sprung from a “humble” approach in which the author-researcher has participated in measurement design and implementation, then made iterative changes to practice based on partners’ needs.