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Thinking out of the Box

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My GiveBackHack 2016 pep/presentation.

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Thinking out of the Box

  1. 1. THINKING OUT OF THE BOX GIVEBACKHACK 2016
  2. 2. Ohio State Startups & Commercialization Rapid Prototyping Ideation Big Kitty Labs Business Development Software Strategy Hustle Demon Dan Rockwell
  3. 3. 2 WAYS TO THINK
  4. 4. BACKCASTING
  5. 5. CRUX = THE THING THAT HAS TO HAPPEN TO MAKE THIS IDEA WORK crux
  6. 6. EMBODY THE VISION INTO THINGS YOU CAN RELATE TO TODAY, NEWS/BUZZ, VISUALIZED EXPERIENCE, BEHAVIOR crux
  7. 7. DANGEROUS IF YOU ENVISION TOO FAR FUTURE TOWN
  8. 8. BACKCASTING TIPS, TRICKS, HACKS ➤ use post its ➤ dream the journey ➤ crux should be heavy weighted, and it can be multiple things, it should be defined as “good marketing” thats a lame crux, it should be something substantial in either infrastructure, or enablement, or technology, or destination, consequence etc ➤ annotate every step of the way ➤ challenge yourself to limit the number of steps, think of each step as a place that 10,000 things can go wrong ➤ voice, advertise the narrative each step of the way, embody and shape the experience as you go
  9. 9. WHAT BACKCASTING DOESN'T TELL YOU ➤ biz model, pricing, etc ➤ depth of success, or $$$$$ you’ll make, though it can be implied
  10. 10. STREAM ENGINEERING
  11. 11. OBSERVE, FIND, KINETIC ENERGY IN A CONCEPT
  12. 12. IT EXISTS GRAVITY
 MOTION MOVING PERSISTENT REUSABLE EFFORTLESS NATRUALY OCCURING
  13. 13. BUILD A MODEL
 AROUND IT IT EXISTS GRAVITY
 MOTION MOVING PERSISTENT REUSABLE EFFORTLESS NATRUALY OCCURING
  14. 14. value BUILD A MODEL
 AROUND IT IT EXISTS GRAVITY
 MOTION MOVING PERSISTENT REUSABLE EFFORTLESS NATRUALY OCCURING
  15. 15. ux value BUILD A MODEL
 AROUND IT IT EXISTS GRAVITY
 MOTION MOVING PERSISTENT REUSABLE EFFORTLESS NATRUALY OCCURING
  16. 16. data ux value BUILD A MODEL
 AROUND IT IT EXISTS GRAVITY
 MOTION MOVING PERSISTENT REUSABLE EFFORTLESS NATRUALY OCCURING
  17. 17. STREAM ENGINEERING TIPS, TRICKS, HACKS ➤ MUST HAVE A STREAM, today’s streams are: experiences, data sets / metrics, known markets that exist, definable by time, output, transactions, occurrences, frequency, ➤ more examples plz: state metrics, policies, regulations (great), pools of people, buyers and sellers (things and users) that exist already for a given context, data sets that are collected and public ➤ best if rapid fire ➤ force yourself to think about how the stream works when you are asleep
  18. 18. WHAT STREAM ENGINEERING DOESN'T TELL YOU ➤ biz model, pricing, etc ➤ depth of success, or $$$$$ you’ll make, though it can be implied ➤ doesn’t imply value (you imply that) ➤ stream specific ➤ doesn't imply or communicate impact
  19. 19. @FLOOZYSPEAK

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