It’s a book launch episode. Human Context: How Intelligent Companies Build Customers— Dave Norton’s new book — released yesterday on Amazon. Joe and Aransas have read the galley. This episode covers the why now, the four frameworks at the book’s core, and how companies are meant to actually use it.

What’s in This Episode

Why Dave felt compelled to write this now. It goes back to 2015 and Digital Context 2.0, his first book, in which he argued that context would be the organizing logic that brought channels, tools, and technologies together in service of the human. It didn’t quite unfold that way — companies didn’t want to share data, API ecosystems were slow to develop, and the consumer-enabling vision got stuck. Then generative AI arrived and changed everything. Context is now the literal engine that makes LLMs work. But there’s a problem: every AI company in the world is thinking about context as their asset — something to extract from consumers and use against them to sell more. Dave wrote Human Context to plant a stake in the ground against that direction. The book argues that context belongs to the individual, and intelligent companies will build around enabling people rather than extracting from them.

The two definitions of context — and why they matter. Joe sharpens the distinction that runs through the whole book: AI companies think of context as the model’s context — the information fed into the system to make it work. What the book argues is that companies need to think about the customer’s context — the situations, mindsets, and life circumstances of the individual they’re serving. These are not the same thing, and confusing them is how companies end up building technology that serves the platform instead of the person.

The four frameworks. The book is organized around four interconnected frameworks:

* Stupid/Dumb/Smart/Genius — co-developed with Joe Pine in 2016 and referenced in Dave’s 2023 HBR article, this framework helps companies understand when and why to use intelligence. Dumb means no context is being collected — not a pejorative, just a description of the state. Smart means iterative sense-and-respond. Genius is what generative AI has now made genuinely possible — anticipatory, deeply contextual support. Stupid is when intelligence is turned adversarially against the consumer: wasting their time, getting in the way, or pursuing nefarious motives.

* Situational Markets — the move away from demographic targeting toward situations. What people have in common is not age or income bracket — it’s that they find themselves in common situations. Companies that learn to identify, size, and design for situations are already operating at a different level of contextual sophistication. Demographics, as Joe puts it memorably, tell you nothing — a point he illustrates with the famous example of two people born the same day in the same town, one of whom became King Charles and the other Ozzy Osbourne.

* Modes — the mindset and behavioral state a person is in at a given moment. Combined with situation, modes give a company a genuinely rich picture of what the individual needs right now. Dave has been developing this framework for twelve years.

* Time Value — the measurement framework. How do you evaluate a dumb experience using time value? A smart one? A genius one? The book distinguishes between time saved, time well spent, and time well invested — giving companies a way to think about what their interactions are actually delivering.

Demographics and personas: a gentle funeral. Joe makes the case cleanly. Demographics are shifts in bell curves — everyone is somewhere on every curve, and they tell you nothing about what any individual values or needs. Personas were a useful intervention when product designers needed reminding that real humans would use their products. But reducing a person to a persona is an injustice to both the individual and to the company’s own capability. The frameworks in Human Context are designed to replace both.

How the book is meant to be used. Dave is unapologetic: the book introduces the concepts, but the real work happens in the workbooks. Ten industry-specific workbooks accompany the book — covering how to size situational markets in your category, how to map modes, how to apply the frameworks to your actual business model. There’s also a case study. The core ask of the reader: spend real time asking what it would actually take to move away from demographic thinking and start sizing situations instead.

How Dave wrote it — and why provenance matters. Every chapter started as Dave’s own writing, in some cases material he’d been developing for over a decade. AI was used to synthesize, consolidate, and accelerate — combining multiple drafts, simplifying, and then editing back to his voice. He’s transparent about this in the book itself, with a dedicated provenance section. His position: books built with AI assistance should always include provenance notes explaining the origins of the content. All the ideas are his. The tools helped him get them out faster than he could have alone.

An audiobook is coming. Dave briefly considered recording it himself, heard the professionals on ACX, and wisely hired a narrator. Joe recorded the opening and closing of The Transformation Economy himself and let the professionals handle the rest. Aransas, for her part, heavily negotiated to narrate her own book.

Get the Book

Human Context: How Intelligent Companies Build Customers by Dave Norton is available now on Amazon (Kindle and print). Early sales and reviews on Amazon make a real difference — if the book is useful to you, take 30 seconds to leave a review.

The ten industry workbooks are available alongside the book at www.stonemantel.co

Connect with Dave on Substack at theexperiencestrategist.substack.com. The Experience Strategy Podcast is hosted by Aransas Savas, Joe Pine, and Dave Norton — subscribe, reply to any episode email, and let them know what you’re working on.

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