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Created July 6, 2017 16:21
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What i learnt about Lean Startup
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LeanStartup.md

LEAN STARTUP

Books

  • Business Model Generation and Value Proposition Design: - Alexander Osterwalder
  • The Lean Startup: - Eric Ries
  • The Startup Owner's Manual: The Step-By-Step Guide for Building a Great Company - Steve Blank / Bob Dorf
  • The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers - Ben Horowitz
  • The Four Steps to the Epiphany Hardcover – Steve Blank (Author)
  • The Lean Product Playbook: How to Innovate with Minimum Viable Products and Rapid Customer Feedback - Dan Olsen (Autor)

Roadmap

Step 1 - Think

  • Stakeholder map
    • Collect SEO keywords about the problem
  • Canvas
  • Value Proposal Canvas

Step 2 - Redact hypothesis

Write at least 20 or 30 hypothesis about:

  • the size of the market
  • the problem
  • the solution
  • the channel
  • market type (new/existing/resegmented/cloned)
  • recruitment (of customers and/or users)
  • allied
  • income strategies

Order the in a two axis diagram on the x the level of uncertaninity, on the y the level of criticity

Step 3 - Customer development

Prepare a list of questions to interview people. the goal is generate conversation to learn how people understand and solve the problem

Step 4 - Identify the early adopters

Evaluate the interviewed with these criterias:

  • Did he understood and classyfy the problem correctly (yes = 10, not completely = 5, no = 0)
  • Did he try to solve it? (yes = 10, he did but left = 5, no = 0)
  • Was him propactive and interested in the interview? (yes = 8, only a bit = 4, no = 0)
  • Could he be interested in seeing a solution? (yes = 4, maybe but not now = 2, no = 0)
  • Did he know someone else with the same problem? (yes and he shares contacts = 4, yes but he didn't give any contact = 2, no = 0)
  • Did he spend money to solve the problem (yes = 3, not yet = 1, no = 0)

If sum >= 31 he is an early adopter

Step 5 - Experiment

Build a MVP and do experiments during 1 to 4 weeks. Collect datas in order to validate hypotesis. Repeat in short PDCA cycles until definitive success or failure.

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