Priority field guide for AI data readiness
Choose between SMART, MoSCoW, and Pareto for common AI data-readiness prioritization moments.
Tool selector SMART vs MoSCoW vs Pareto The tools stack well, but they answer different questions. Scope pressure Why not include the raw transcripts? They might help the model. A stakeholder wants to add an unready source to a first AI pilot. Your line They may help later, but first release needs MoSCoW discipline. Without consent, redaction, and evaluation, transcripts are Won't-have-for-now, not Must-have. Do not argue that the data has no value. Argue that it is not first-release ready. It preserves stakeholder value while protecting scope. When should you reach for SMART in an AI data review? When people…
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