Two cluster of events in 2024, so far, have changed my mind about the nature of the entrepreneurial firm: The post I shared in March, 2024 titled Honesty, Error, Deception, Fraud was a direct response a part of what I experienced in January. It represented the most coherent summary of what I thought I saw and heard. The post in May, Non-fictional intent in fictional contexts was a follow-on about belief, make-believe, deception, and self-deception. July’s post on The nature of secrets – a secret having a component of deception and often a non-fictional intent was in part a response to re-reading prior material with new eyes. The nature of belief, self-belief, self-object-belief, deception, self-deception, make-belief, belief-speaking, delusion, performance, performance[…]
Category: Design Thinking
It took a lot of effort reconcile two forms of order: letters and numbers. Numbers had identities because they had names. Just as I was picking up the sound of names fourteen, sixteen, seventeen, eighteen, nineteen, and the mysteries of numbers that began with twenty, I became quite frustrated with eleven and twelve. Here were two sets of two symbols with distinct names that didn’t fit. They broke the pattern, the beautiful symmetry, between place and place value. And how I ever despised thirteen as a concept because there was not only was there no firteen nor seconteen. Where was thirteen anyway? It wasn’t on the clock. It wasn’t on any packaging. Good things never came in packages of thirteen.[…]
I’m sorting out much of what I read of Gregory Bateson (1904-1980). And in his tradition, I’m going to make connections and then try to stand above it. Come and play. My entry point was Steps to an Ecology of Mind (1972), then I shot off into A Sacred Unity: Further Steps to an Ecology of Mind Edited by Rodney E Donaldson (1991) and then Nora Bateson’s Small Arcs of Larger Circles (2016). I’ve been thinking a lot about the question David Graeber and David Wengrow asked in The Dawn of Everything (2021): why do groups of people differentiate? Bateson’s observation of schismogenesis – a combination of the word schism and genesis – is “a process of interaction whereby directional[…]
You may have noticed a lot of sharing of Open AI’s Generative Pre-trained Transformer 3 (GPT-3) and ChatGPT screenshots. The most popular tend to be funny. I asked ChatGPT to describe in a style that Stephen King would write, a scene describing somebody struggling to decide which brand of toilet paper to buy. The result is fun. Here’s one about writing a script in Seinfeld style: In the sense that you can recognize the blend of styles. Elements of relevance and divergence are provided by the prompts. The evaluation, on the part of this author, is entirely subjective. And in some ways, carbon dated. Years from now, the bubble sort will be around. Probably. The knowledge of what a typical[…]
Von Hippel is onto something with the idea of need-solution pairs. This is how I understand the idea: Most management literature is focused on problem definition. (See: James G March for one of the best models of how problems drives search). Often, searches are sparked by a problem. But what if it isn’t always sparked by a problem? Von Hippel argues that search isn’t always motivated by formalized problems. Sometimes people are just discovering alternatives based on needs, and then, they compare a new alternative to the status quo. If the alternative is predicted to be better than the status quo, then the alternative will be substituted. If not, it’s rejected. This is a kind of a neat way to[…]
“I’m seeing things Believe me I’ve never seen before Little things Deceive me” Seeing Things, Theme Song, 1981 One common formula for a product vision comes from Steve Blank (2010, 2020). It goes like this: “For <customer segment> our product, <product name> is a <name the sector that customers say> that <benefit>. Unlike <competitors>, our product <discriminator>. Our product is <product name>.” And each bit of that formula can be systematically turned into a set of hypotheses that can be tested and refined until the vision is sufficiently true, or likely, to create a wonderful business if scaled. Blank himself repeats that entrepreneurs are rule breakers, so it’s really up to them which ones they want to break. Osterwalder and[…]
What if the rate of forgetting is interrelated with the rate of learning? What might that mean? The Knowledge Funnel The Knowledge Funnel is a model that describes how knowledge is made useful by an organization. At one side, you got mysteries. We live in an era where the number of mysteries vastly outnumbers the amount of knowledge. There is no shortage of mystery. Heuristics are rules of thumb that work most of the time, but not all of the time. There are lot of heuristics. They tend to form the core value driver for many organizations. There are comparatively fewer algorithms. Those organizations that have fit algorithms are often extraordinarily profitable and competitive. Some researchers focus on converting mysteries[…]
The Knowledge Funnel is a concept introduced by Roger Martin in Design of Business: Why Design Thinking is the Next Competitive Advantage (2009). The book is excellent and worth a read. There are mysteries at the top of the funnel. Mysteries are the unknown. They’re the known unknowns and the unknown unknowns. It’s knowledge that the organization doesn’t have. In the centre of the funnel, you have heuristics. These are rules of thumb. They aren’t quite always precise, and aren’t always quite reliable. Heuristics are just predictive enough to be useful. It’s knowledge that is known to the firm. At the bottom of the funnel you have algorithms. This is knowledge that is standardized and optimized enough to be run[…]
Imagine with me: what if novels were written like software. Sometimes it’s useful to approach absurdity and look inside. There might be treasure there. I’ll define software as an executable, a set of instructions, that are interpreted by a machine for some reason. As a data scientist, I think of software as a product, and I think, constantly, of turning data into product. I think of data as inertia and all the code around it as flexible. I worry a lot about the people that use the software (if anybody) and think of them as heterogenous segments. I think of a novel as an executable, a set of instructions, that are interpreted by a human brain for some reason. As[…]
Backcasting is a fantastic technique. It was invented in Canada. You’re welcome to use it. If it sounds like forecasting – well – that’s because it’s kind of like forecasting. With an important difference. That wikipedia page says: Whereas forecasting is predicting the future (unknown) values of the dependent variables based on known values of the independent variable, backcasting can be considered the prediction of the unknown values of the independent variables that might have existed to explain the known values of the dependent variable. I had to re-read it a few times to really get it. Once you get it, it’s just elegant. What’s beautiful is that it can silence the reactive-pure-statistician brain long enough for the prospective centre of the creative brain to imagine several futures. What I like about backcasting[…]