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S
An Introduction to the
Lean Startup
Methodology
What?
S The Lean Startup Methodology (LSM) is an approach for
launching products/services
S Based on Japanese lean manufacturing principles
S The LSM relies on validated learning, experimentation, and
iterative product releases to:
S Shorten product development cycles
S Constantly measure progress
S Gain valuable customer feedback
S We have a fast development cycle so that we’re constantly
offering products/services that customers want.
S With LSM you ideally don’t spend too much time/money
creating things customers aren’t interested in.
S Using the LSM you fall fast and fall cheap
Why?
S We eliminate uncertainty
S We work smarter, not harder
S We create order
S With LSM you have the tools to constantly test your vision
How?
Hypothesize
S Step One: Create a hypothesis for
your product or service
S You might have ideas about
product features or who your
customer base is
S Nothing has been tested, these are
still ideas
Build
S Step Two: Build a basic version of your product
S A minimum viable product (MVP) is the version
of a new product which allows a team to collect
the maximum amount of validated learning
about customers with the least effort
S Prototype
S Website
S Design Mockup
S Video Describing Your Product
MVP
Lean Startup Zurich- An Introduction to Lean Startup Methodology
Measure
S Step Three: Get your product out there and measure the results
S Web Page Analytics: How are people interacting with your site
S Videos: Number of views and comments
S Landing Pages: How many people sign up?
S User Testing
S A/B Testing: What do people respond to?
S “Vanity metrics
make you feel
good but don’t
offer clear
guidance on
what to do”
S Eric Ries, The Lean Startup
Learn
S Step Four: Take your data and analyze it
S What did customers respond to?
S What didn’t they respond to?
S What created value?
S What diminished value?
S Does my data validate my hypothesis?
Pivot vs. Persevere
S Once we’ve analyzed our data we can decide to:
S Pivot
S Something is fundamentally wrong and we need to change our
hypothesis
S Persevere
S Stay the course and continue on with our existing hypothesis
Lean Startup Zurich- An Introduction to Lean Startup Methodology
Repeat
Resources
S The Lean Startup by Eric Ries
S Theleanstartup.com
S Wikipedia: Lean Startup, Validated Learning
S Slideshare: Lean Startup Zurich-MVP/Idea Validation
Repeat

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Lean Startup Zurich- An Introduction to Lean Startup Methodology

  • 1. S An Introduction to the Lean Startup Methodology
  • 2. What? S The Lean Startup Methodology (LSM) is an approach for launching products/services S Based on Japanese lean manufacturing principles S The LSM relies on validated learning, experimentation, and iterative product releases to: S Shorten product development cycles S Constantly measure progress S Gain valuable customer feedback
  • 3. S We have a fast development cycle so that we’re constantly offering products/services that customers want. S With LSM you ideally don’t spend too much time/money creating things customers aren’t interested in. S Using the LSM you fall fast and fall cheap
  • 4. Why? S We eliminate uncertainty S We work smarter, not harder S We create order S With LSM you have the tools to constantly test your vision
  • 6. Hypothesize S Step One: Create a hypothesis for your product or service S You might have ideas about product features or who your customer base is S Nothing has been tested, these are still ideas
  • 7. Build S Step Two: Build a basic version of your product S A minimum viable product (MVP) is the version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort S Prototype S Website S Design Mockup S Video Describing Your Product
  • 8. MVP
  • 10. Measure S Step Three: Get your product out there and measure the results S Web Page Analytics: How are people interacting with your site S Videos: Number of views and comments S Landing Pages: How many people sign up? S User Testing S A/B Testing: What do people respond to?
  • 11. S “Vanity metrics make you feel good but don’t offer clear guidance on what to do” S Eric Ries, The Lean Startup
  • 12. Learn S Step Four: Take your data and analyze it S What did customers respond to? S What didn’t they respond to? S What created value? S What diminished value? S Does my data validate my hypothesis?
  • 13. Pivot vs. Persevere S Once we’ve analyzed our data we can decide to: S Pivot S Something is fundamentally wrong and we need to change our hypothesis S Persevere S Stay the course and continue on with our existing hypothesis
  • 16. Resources S The Lean Startup by Eric Ries S Theleanstartup.com S Wikipedia: Lean Startup, Validated Learning S Slideshare: Lean Startup Zurich-MVP/Idea Validation

Hinweis der Redaktion

  1. This is the ideas part of the loop
  2. Find the balance