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By Ryan Singer
5
88 ratings
The podcast currently has 10 episodes available.
Part 1: 00:11
Digesting the experience from using Alexander's methods on a real building project, how feeling is different from analyzing
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Part 2: 14:19
How form and function are the same thing: better form has better function. Changing the design so it feels better and then finding out it now also works better.
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Part 1: 00:11
Alexander's definition of "living structure" and how to deal with it
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Part 2: 13:18
Describing "life" as a function afforded by form, connection to Husserl's fundierung and Gibson's notion of affordances
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Part 3: 23:47
What it "is" versus what it "does", three levels of software: the backend, the interaction layer, the layer of life. Music software example. Basecamp concept example.
Part 1: 00:17
Point forecasts vs. system properties, estimating project length vs. the distribution of the error
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Part 2: 04:39
Christopher Alexander and software in the 90s vs. today, implementation vs. product, Building Beauty
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Part 3: 09:22
Form/context and supply/demand boundaries, defining requirements once vs. iteratively, prototyping an affinitizing interface for an app to analyze job-to-be-done interviews
Part 4: 23:05
Moving the form/context boundary , inner and outer boundaries, recursively applying the same design process
Part 5: 31:03
Learning what language to use by trying to use it
Part 1: 00:11
Introduction to a formal idea of market space, three jobs Basecamp does, turning the jobs into basis vectors for a neighborhood of a market space.
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Part 2: 16:00
Vectors in market space as functional systems, locating struggles in existing systems, value as degree of struggle, struggle on the demand side as design requirements on the supply side.
Part 3: 23:46
Trade-offs, choosing where to "move" the product, supply-side motivations, how market space changes, how trends affect the stability of market locations.
Part 1: 00:12
Network theory, multi-scale networks, example of building a clustering feature on a side project, two scales of design: the feature level and the implementation level
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Part 2: 13:54
Unfolding as a network dynamic, learning at the fine scale under constraints from the large scale
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Part 3: 20:05
Risk, thin-tailed vs. fat-tailed variables, how underlying structure gives rise to different shapes of distributions, orthogonality and interdependence
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Part 4: 30:14
Patchiness of risk in a design problem, observation in science vs. active control in design, targeting unknowns, redesigning at the feature scale based on information from the implementation scale, example of designing for independence
Part 5: 38:35
Scopes in Shape Up as tangled network neighborhoods, structure vs. opacity in the network, alternation between identifying structure and removing "the fog"
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Outro: 46:05
Is this thing on? Say hello or just raise your hand with a DM to @rjs on Twitter.
Part 1: 00:56
Patterns as functional pairings of context and form, pattern languages, generic patterns vs. unique languages designed for a project
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Part 2: 11:26
Speaking the language of Basecamp's patterns: "bucket access" and "commentables"
Part 3: 16:38
Langacker's Cognitive Grammar, symbols, phonological and semantic poles, defining Shape Up as a system, how system components are like semantic poles of symbols, naming things
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Part 1: 00:46
Displaying data adjacent in space vs. adjacent in time, Stuart Kauffman's work-constraint cycles, time boundaries, eureka moments, an example of defining a system boundary from Basecamp 4
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Part 2: 20:44
System vs. parameter design in Taguchi's work, time constraints for R&D vs. production work, explaining parameter design and cost of quality improvements with an omelette
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Intro: 00:00
Phases of concretizing: articulating the idea vs. getting to the idea
Part 1: 02:40
Scale transformations, scale tradeoffs, examples of multiscale systems
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Part 2: 16:45
Tweeting vs. writing an article as examples of different scales, bottom-up and top-down order
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Part 3: 29:49
Launching a new product, a scale transition from separate conversations to a group announcement
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Summary: 38:22
The end of "R&D mode" as a scale transformation, experiment at smalls scale to find parameters at large scale
Intro: 00:00
Going upstream along the path of concretizing an idea
Part 1: 02:38
Phenomenology, "bracketing"
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Part 2: 10:23
Uncertainty, two kinds of opacity: risk and richness, creative constraints
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Part 3: 25:18
Ontology, res extensa and res potentia, the adjacent possible
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Introduction: 00:00
Introducing the podcast
Part 1: 00:30
Social media, convexity, and data ownership
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Part 2: 19:50
Category theory, affordances, jobs to be done, reference frames for types (when a temperature becomes a fever)
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The podcast currently has 10 episodes available.