Roger Martin -- The Design of Business
Roger Martin, Dean, Rotman School, June 4, 2004, 1:45 p.m.
These participant's notes were created
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These notes have been contributed by David Ing
(daviding@systemicbusiness.org) at the IBM Advanced Business
Institute ( http://www.ibm.com/abi).
This is not about the management of design, managing designer
types.
How does our understanding of things evolved over time?
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Things come into our understanding as mysteries, that we
don't understand.
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At some point, enough thought goes into the question at
hand, to get a first-level of understanding.
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A heuristic: rules of thumb, an organized way to understand
things.
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e.g. playing the blues.
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Mastering a heuristic is the difference between Don McLean
"American Pie" )as a one hit wonder) and Bruce Springsteen or a
Bob Dylan (that have a way with a song, over and over
again).
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Artists: first understand perspectives.
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Heuristics don't guarantee success, but they do increase the
probability to getting to the right answer.
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Increased understanding can create an algorithm:
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Logical / arithmetic way to get from one place to
another.
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e.g. Brian Eno, songs with an electronic heartbeat (all the
way to Milli Vanilli)
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Can paint by numbers
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Eventually, algorithms get coded into software
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Reduction to binary code.
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e.g. algorithm 9.8 m/sec**2, becomes a code to allow the
space shuttle to fall in a way we like.
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Typesetting: how to express words in a aesthetic way.
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As late as 1981, student had to use letraset.
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Practice with letraset was to get the spacing between
characters correct.
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But eventually would be replaced by computers, as a finite
number of combinations of letter
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Then Adobe Illustrator and Quark
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In the late 20th century, all algorithms go to code.
More speculative, from now ...
The focus of 20th century value creation was the conversion of
heuristics into algorithms.
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e.g. Ray Kroc figured out how Californians like to eat
hamburgers: an algorithm for a fast food chain.
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Same for Ford and the assembly line, or EDS taking college
kids to learn COBOL.
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Turning judgement into a formalism.
Towards the end of the 20th century, a lot of things creating
value by driving algorithms to code.
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Adobe.
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Honeywell guidance systems for planes.
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Is this a good thing or a great thing?
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Increase in effectiveness and efficiency in code, but no
longer have judgement.
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No soul or artistry.
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Even though Adobe says D and E should be a certain distance,
need to do some kerning.
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Extreme of 20th century life is soul-less numbers.
Are we going to continue to see more of the same? The move to
algorithm codes?
Speculative: no, don't think the world is going that
direction.
The new focus of value creation will be a movement back to
taking mysteries, and moving them to become heuristics.
Hope that in the 21st century, will be seen as a century of
providing elegant stuff, with a minimal environmental impact.
New mysteries:
If more right than wrong, what are the implications for
business?
1. Design skills and business skills will be hard to
distinguish.
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Design skill, at his heart, is to reach into the mystery of
a given situation (an intractable problem), apply some innovation
and mastery to make something other than a mystery.
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Bill Buxton says that this is wrong: business people will
never be designers.
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Think business executives will have to become masters of
heuristics rather than managers of algorithms.
2. Will drive a new business enterprise, more like a design
shop.
This transition from "traditional form" to "design shop" will
be significant.
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P&G working on a shared services organization, and
outsourced 7500 jobs.
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This tends to be demoralizing, because budget goes down and
people go down.
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Can recast the outsourced as a design shop:
unburdened.
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3. The business of design will become the design of
business
[Questions]
Logic of mystery --> heuristic --> algorithm -->
code, or moving to another level?
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Might be a semantic thing.
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If heard McLuhan talk, this might be a reversion.
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In the integrated thinking agenda, to have a heuristic for
staring into mysteries, is better than just staring without
knowing what to do.
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Some logic.
Moving towards algorithms means more efficient, but moving
back means less efficiency?
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To get the next generation of efficiencies, have to stop
playing with algorithms we know, and have to go to bigger
mysteries.
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Counter-argument: some things we've pushed so far, gone to
code, that pushing back maybe helpful.
Continuing circle?
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As a linear, there's stuff that we're averting our eyes to,
that is coming back.
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e.g. environmental issues.
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Health care is unique: this is something with infinite
demand.
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Where and when is the desire to live longer going to
ameliorate?
Every paradigm / school has a way of looking at mysteries, as
heuristics. All probably need to circle back. What would you
change in the business school curriculum?
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Change the way they see the world, as models.
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e.g. a McLuhan-esque model.
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Want students to become better builders of models, better
users, and better refiners.
Larger issues in environment and health care, but not much
money there. How to deal with that.
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Externality problems.
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Corporations are huge users of resources.
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They need to take responsibility.
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If not thinking about the problem, then may have massive
re-regulation.
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Not a simple solution.
Drive to code. Huge regulatory burden, Sarbanes-Oxley. Why
would anyone want to go back to mystery, so that CFOs and CEOs go
back to jail.
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Sarbanes-Oxley is a crummy design.
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Doing something without understanding the phenomena.
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Misunderstanding of the phenomena.
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Doesn't solve the problem.
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Evolution of widely owned corporations
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Best job: National Football League
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As soon as anyone makes an innovation, change the rules:
move the hash lines out, in, etc.
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Ensures the game has a balance of defense and offense.
Is this a change of focus?
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Different people enjoy different jobs.
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There's been an overfocus on pieces of the puzzle.
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Maybe don't shift the pendulum too far.
Moving from product to humanity? Biotech binary code as the
efficient conclusion of management?
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Manuel Buckwald: Would make a parallel argument over the
human genome.
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Now that we've mapped the genes, there are so many
interactions.
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Problems are all in the mysteries, and all of the research
skills are focused on the code.
1970s film, Logan's Run.
Shift from traditional firm to design shop. Style of work as
more collaborative. See the opposite.
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Not sure that it's more or less. Know people who could
argue both sides.
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More technologies to collaborate at distance.
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Yet, possible that technology will create a lower-quality
collaboration, than is required.
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Agree with Jeanne Liedtka, that chopping things down into
meetings where the first 20 minutes is review and last 20 is
planning the next meeting is not collaboration.
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