Window Lab: Human‑First AI to Test Storefront Displays That Drive Foot Traffic

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Window Lab: Human‑First AI to Test Storefront Displays That Drive Foot Traffic

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Anchor with a short micro‑story: a small bookshop swapped a handwritten chalkboard for two concise, AI‑drafted window concepts and saw a measurable uptick in weekday foot traffic within a weekend. This panel episode gives U.S. small business owners a practical, privacy‑safe Window Lab playbook to design, test, and measure two competing storefront displays in 72 hours. We cover how to pick one clear hypothesis (curiosity vs. value), collect minimal signals that matter (sightlines, passerby demographics, peak hours), and use AI to draft three short sign options and simple visual mock descriptions that a local printer or manager can produce overnight. The episode includes a conservative human‑approval checklist (accuracy, accessibility, brand fit), an inline 72‑hour test plan with caps and KPIs (foot traffic lift, linger time proxy, conversion to sale), and real roleplays showing how staff should rehearse on‑floor prompts. Visit the show website to download the Window Lab checklist, three ready‑to‑print sign templates, a measurement sheet, and a weekend pilot tracker so you can run the experiment next weekend. Use AI to support people — not replace them.

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