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Minimum Viable Product#leanstartup Eric Ries (@ericries) http://StartupLessonsLearned.blogspot.com
Why do we build products? Delight customers Get lots of them signed up Make a lot of money Realize a big vision; change the world
Possible Approaches “Maximize chances of success” build a great product with enough features that increase the odds that customers will want it Problem: no feedback until the end, might be too late to adjust  “Release early, release often” Get as much feedback as possible, as soon as possible Problem: run around in circles, chasing what customers think they want
Minimum Viable Product The minimum set of features needed to learn from earlyvangelists – visionary early adopters Avoid building products that nobody wants Maximize the learning per dollar spent Probably much more minimum than you think!
Minimum Viable Product Visionary customers can “fill in the gaps” on missing features, if the product solves a real problem Allows us to achieve a big vision in small increments without going in circles Requires a commitment to iteration
Minimize TOTAL time through the loop IDEAS LEARN BUILD DATA CODE MEASURE
Examples Building IMVU in six months 2004 “Kerry vs. Bush avatar debate” Lean Startup workshop VIP link in the header
Product Development at Lean Startup Unit of Progress: Validated Learning About Customers ($$$) Customer Development Hypotheses, Experiments, Insights Problem: unknown Data, Feedback, Insights Solution: unknown
Techniques Smoke testing with landing pages, AdWords SEM on five dollars a day In-product split testing Paper prototypes Customer discovery/validation Removing features (“cut and paste”)
Fears False negative: “customers would have liked the full product, but the MVP sucks, so we abandoned the vision” Visionary complex: “but customers don’t know what they want!” Too busy to learn: “it would be faster to just build it right, all this measuring distracts from delighting customers”
Thanks! ,[object Object]

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Minimum Viable Product

  • 1. Minimum Viable Product#leanstartup Eric Ries (@ericries) http://StartupLessonsLearned.blogspot.com
  • 2. Why do we build products? Delight customers Get lots of them signed up Make a lot of money Realize a big vision; change the world
  • 3. Possible Approaches “Maximize chances of success” build a great product with enough features that increase the odds that customers will want it Problem: no feedback until the end, might be too late to adjust “Release early, release often” Get as much feedback as possible, as soon as possible Problem: run around in circles, chasing what customers think they want
  • 4. Minimum Viable Product The minimum set of features needed to learn from earlyvangelists – visionary early adopters Avoid building products that nobody wants Maximize the learning per dollar spent Probably much more minimum than you think!
  • 5. Minimum Viable Product Visionary customers can “fill in the gaps” on missing features, if the product solves a real problem Allows us to achieve a big vision in small increments without going in circles Requires a commitment to iteration
  • 6. Minimize TOTAL time through the loop IDEAS LEARN BUILD DATA CODE MEASURE
  • 7. Examples Building IMVU in six months 2004 “Kerry vs. Bush avatar debate” Lean Startup workshop VIP link in the header
  • 8. Product Development at Lean Startup Unit of Progress: Validated Learning About Customers ($$$) Customer Development Hypotheses, Experiments, Insights Problem: unknown Data, Feedback, Insights Solution: unknown
  • 9. Techniques Smoke testing with landing pages, AdWords SEM on five dollars a day In-product split testing Paper prototypes Customer discovery/validation Removing features (“cut and paste”)
  • 10. Fears False negative: “customers would have liked the full product, but the MVP sucks, so we abandoned the vision” Visionary complex: “but customers don’t know what they want!” Too busy to learn: “it would be faster to just build it right, all this measuring distracts from delighting customers”
  • 11.
  • 13. Getting in touch (#leanstartup)
  • 16. The Lean Startup Workshop
  • 17. October 30, 2009 in San Francisco
  • 18. December 10, 2009 in New York