Data, AI and design
summary
Agency builds a measurable pipeline: a new Human Experience score that blends engagement KPIs, performance metrics (CLS, load time) and behavioral signals to flag pages that cause frustration; generative models like DALL·E and Jasper produce hundreds of design and copy variations for rapid ideation; an AI eye‑tracking simulation predicts attention so A/B tests focus on the best variants; and synthetic data via GANs shrinks required test panels, speeding deployment while keeping models working under GDPR.
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chapters (10)
- 0:00Introduction to AI and design
- 1:13AI as human augmentation
- 5:07AI in conversion optimization
- 8:00Human Experience Score metric
- 12:00Generative AI in creativity
- 15:37AI for eye-tracking simulation
- 16:22AI in testing and reporting
- 18:09Synthetic data and privacy
- 20:00AI framework for human-centered design
- 21:30Q&A on AI and design roles
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