The Spark
FM-330 (Fashion Analytics & Data Insights) trades its borrowed case-study spine for student-authored fictional worlds. Each student sets a world’s generative constraints — climate, economy, colonial history, physics — and the consumer data they then analyze (segmentation, pricing, sentiment, forecasting) falls out of those rules rather than a department handout.
The Craft
A live model proves the thesis instead of asserting it: drag one rule — ‘elevation is caste’ — and the fashion market’s segmentation heatmap, value scores, and trend forecast reorganize in real time. Students don’t read a market; they author the world that produces one.
Outcome
It turns a passive ‘read the case, answer the question’ course into ‘you authored this world, now explain what’s happening in it’ — while keeping the First Insight industry certification (the load-bearing Week-15 credential) fully intact, and converting the syllabus’s outright AI ban into a declared, auditable AI-as-instrument policy.
Process — 8 frames
