An Introduction to the Lean Startup Methodology
The document provides an overview of the Lean Startup Methodology (LSM), which is an approach for launching products and services based on lean manufacturing principles. The LSM relies on validated learning through experimentation and iterative product releases to shorten development cycles, constantly measure progress, and gain customer feedback. It outlines the key steps of the LSM process: hypothesizing an idea, building a minimum viable product, measuring customer responses, learning from the data, and deciding whether to pivot or persevere before repeating the process. The overall goal of the LSM is to eliminate uncertainty, work smarter through constant testing and customer validation, and create order in the product development process.
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An Introduction to the 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
- 5. How?
- 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
- 15. Repeat
- 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
- 17. Repeat
Hinweis der Redaktion
- This is the ideas part of the loop
- Find the balance