Walk the First Text Classifier
Apply a disciplined ML process to the first release of a text classifier.
The ask A support org wants 12 intent queues automated in three weeks. The first decisions determine whether the model solves a workflow problem or just produces a score. CRISP-ML(Q) Scope -> data -> model -> evaluate -> monitor A quality process reduces risk by forcing a clear answer at each stage before the team moves deeper into modeling. Shortcut Train first, explain later A launchable model with known limits. Each stage should retire a risk, not just produce an artifact. 01 Scope 02 Data 03 Evaluate Decision first The request says 12 queues, but only 4 queues drive 78…
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