Organizing for Innovation (Geekend 2017)
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This document discusses how to organize for innovation by drawing inspiration from evolution. It argues that evolution produces continual innovation through resilient and responsive features like being highly networked, adapting to rapid changes, and finding novel solutions. Rather than focusing on individual inventors, great inventions are those that can reuse existing structures in new ways, are useful to others, and come from networked teams. The document suggests that organizations can design systems similar to evolution by creating an "Organizational Operating System" that manages key functions like structure, decisions, communication, strategy, and people in a way that is responsive to conditions and drives continual improvement and adaptation over time.
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Organizing for Innovation (Geekend 2017)
- 1. Organizing for Innovation Harnessing emergent systems to build lasting impact SPENCER PITMAN
- 2. I design organizations here I tweet here @ALCESBULL I also like to CLIMB, SKI, & COOK SPENCER PITMAN
- 3. What we’re talking about when we talk about innovation SPENCER PITMAN NOVELTY ADAPTATION FITNESS
- 4. What do you think of when someone says inventor? What we’re talking about when we talk about innovation SPENCER PITMAN
- 5. What do you think of when someone says inventor? What we’re talking about when we talk about innovation Edison. Wrights. Graham Bell. Gutenberg. Watt. Morse. Babbage. Fulton.Baird. Ford. Bessemer. Jobs. Dunlop. SPENCER PITMAN
- 6. Beware the myth of the silent genius SPENCER PITMAN
- 7. Abraham Darby and the Coke Oven Saw the use of coke to fuel beer-making. Designed the blast furnace, helped fuel the industrial revolution. SPENCER PITMAN Sometimes the best inventions are just clever reuse.
- 8. Ada Lovelace and Computer Programming Babbage invented the programmable computer, but Lovelace invented actual programming. SPENCER PITMAN Good inventions are good because they are useful to others.
- 9. Apple Computer’s Crack Team Jobs is seen as a singular genius, but he kept a vision for Ive’s design and Woz’s engineering. SPENCER PITMAN Good inventions come from aligned teams of powerful agents.
- 10. Can be reuses of existing things Are useful to other people Come from networked teams GREAT INVENTIONS SPENCER PITMAN
- 11. Let’s switch gears What actually produces tons of innovation, novelty, adaptability, and fitness? SPENCER PITMAN
- 13. What features result in the resiliency and continual improvement we see in evolution? SPENCER PITMAN ImagecourtesyAutodeskResearch
- 14. SPENCER PITMAN ImagecourtesyAutodeskResearch Power structured responsive to environmental conditions Highly Networked Agents/Species Unclear group edges Flexible, Extensible codebase (DNA)
- 15. Where possible, it co-opts existing structures and uses them in new ways. SPENCER PITMAN Something else really cool about evolution It doesn’t lean on the creation of new things to innovate.
- 16. SPENCER PITMAN Consider the bird.
- 17. Highly Networked Systems of Agents Rapidly Changing Conditions Novel Solutions
- 18. So if we concede that the best system for producing the kind of innovation that lets an organization last is evolution… SPENCER PITMAN ImagecourtesyAutodeskResearch …can we design a similar approach?
- 19. HARDWARE application application applicationapplication application application HARDWARE HARDWARE OS AdaptedfromBenThompson’sStratechery ABSTRACTION NETWORK EFFECTS DIRECT INTERFACE SPENCER PITMAN
- 20. STRUCTURE & SPACE AUTHORITY & DECISIONS INFORMATION & COMMUNICATION POLICY & GOVERNANCE PURPOSE & VALUES MEETINGS, RHYTHM & COORDINATION STRATEGY & INNOVATION RESOURCE ALLOCATION, TARGETS & FORECASTS PEOPLE, DEVELOPMENT & MOTIVATION ORGANIZATIONAL OPERATING SYSTEM
- 21. STRUCTURE & SPACE AUTHORITY & DECISIONS INFORMATION & COMMUNICATION POLICY & GOVERNANCE PURPOSE & VALUES MEETINGS, RHYTHM & COORDINATION STRATEGY & INNOVATION RESOURCE ALLOCATION, TARGETS & FORECASTS PEOPLE, DEVELOPMENT & MOTIVATION
- 22. Unlike pure evolutionary systems, an Org OS is managed actively, is not necessarily open, and is teleological (goal driven). So where does the evolution metaphor fail or fall short?
- 23. Thank you!