Deploying a venture builder / start-up factory model to smartly develop and scale a set of innovative ventures. A structured, experimental, iterative approach to craft value and generate returns

1. 1
Deploying a venture builder / start-up factory model to
smartly develop and scale a set of innovative ventures
Select
1 Theme
Generate / Curate
20-25 Ideas
Develop & Validate
10-12 MVP’s
Seed and Prepare
5-7 Startups
Fund and Scale
2-3 Ventures
A structured, experimental, iterative approach to craft value and generate returns
• Select theme
• Identify clusters
• Research segments
̵ Trends
̵ Challenges
̵ Opportunities
• Map options
• Develop PoV/Pitch
KeyActivity
• Segment clusters
• Theme Point of View
• Commercial
opportunity analysis
Output
• Identify pain points
• Generate Ideas
̵ Research/Interviews
̵ Brainstorming
• Source Ideas
̵ Hackathon
̵ Open Innovation
• Evaluate / Rank Ideas
• Idea generation
process
• Idea long list
• Top Ideas Ranked /
Value Mapped
• Deep dive into cust
needs / pain points
• Design solution
• Craft value proposition
• Develop MVP
• Test prototype
• Gather feedback
• Validate & Revise
• Customer Value
Proposition
• Solution Design
• MVP / Prototypes
• Customer feedback
• Detail plans
• Recruit
̵ Core team
̵ Advisory / board
• Identify funding needs,
allocate initial capital
• Set up ops / Build
• Go to market
• Startup venture
̵ Product / platform
̵ Team
• Market traction analysis
• Pitch Venture
• Raise Capital
• Recruit talent
• Execute on plan
̵ Accelerate / scale
• Report on progress
• Track financials &
funding needs
• Operationally
independent business
̵ Exit opportunities
Partner
• Management
Consultants
• Research Firms
• Startup / Corporate
ventures
• Academic Institutes
• Design consultants
• Accelerators
• Technology vendors
• Accelerators
• Technology vendors
• Recruiters
• Investors - Angel, VC,
Crowdfunding pf’s
• Strategic alliances
Ongoing*: Assess project needs – Bootstrap/Raise funds - Allocate capital, administer fund - Secure & manage partnerships
*Ongoing due to the experimental, iterative nature of the approach and inability to forecast requirements of the downstream MVPs, startups
2 – 3 weeks 2 – 3 weeks 3 – 4 weeks 3 – 4 weeks ongoing …
Sprints
Eric Tachibana, Floyd DCosta