Code survey comments with CRISP-DM

AI produces a polished survey summary, but the team cannot trace how themes were formed or whether sensitive comments were handled safely. CRISP-DM for AI-assisted nonprofit analysis The common trap is treating AI clustering as the analysis instead of one modeling step inside a reviewed workflow. Business understanding Name the decision: extend hours, redesign intake, adjust staffing, or report outcomes. Without a decision question, every theme seems equally interesting and the summary becomes unfocused. Data understanding Inspect sample comments for languages, missing context, duplicates, sensitivity, and possible bias. The model cannot tell you whether the dataset represents the community unless…

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