Business Idea Template
A progressive journey from idea to tech-powered business. Work through each stage — expand to reveal the checklist.
Business Alignment
| Question | Answer |
|---|---|
| Venture name | [name] |
| Which country/market? | [link to country page for legal, compliance, regulatory context] |
| Idea Capture complete? (template 2) | YES / NO |
| ICP defined? (template 3) | YES / NO |
| What conviction level is this validation? | HIGH / MEDIUM / LOW / NONE |
Where are you starting?
- New Business -> Start at Stage 0
- Existing Business -> Jump to Stage 3 (Tech Assessment)
Stage 0: Self-Assessment
Before building anything, understand where you're starting from.
Founder Readiness
- Why now? What's driving you to start/change a business?
- Risk tolerance? Can you sustain 6-12 months without income?
- Time capacity? How many hours/week can you commit?
- Skills inventory What do you bring? What gaps exist?
Idea Clarity
- Can you explain your idea in one sentence?
- Who specifically has this problem?
- Why hasn't this been solved already?
- What's your unfair advantage?
Resources
- Matrix Thinking - Map your mental models
- Questions Framework - Sharpen your thinking
Ready to advance when: You can articulate why YOU should build THIS business NOW.
Stage 1: Market Validation
The traditional barriers to entry are crumbling. Small teams can now build profitable businesses serving micro-niches that were previously economically unfeasible.
Market Research
- Identified a specific customer segment (not "everyone")
- Found where these customers gather online
- Analyzed 3-5 existing solutions (competitors)
- Identified gaps in current offerings
Customer Discovery
- Talked to 10+ potential customers
- Documented their actual words about the problem
- Validated willingness to pay (not just "that's interesting")
- Understood their current workarounds
Micro-Niche Opportunity Assessment
- Is this niche too small for big players to care?
- Can you become the obvious expert here?
- What's the minimum customer base for profitability?
Demand Signals
Quick ways to gauge whether demand exists before building anything:
| Signal | Method | Strong If... |
|---|---|---|
| Search volume | Google Trends + Glimpse extension | 30k+ monthly, growing |
| Community size | Niche subreddits, Discord servers | Active, growing, complaining |
| Books exist | Amazon search for your niche | Many titles with good reviews |
| Ads running | Meta Ads Library, long-running campaigns | Someone's profiting already |
| Workarounds | Reddit, forums, support tickets | People hacking solutions together |
Resources
- Ideal Customer Profile
- Total Addressable Market
- Business Models
- JTBD Interviews — Extract the real job
Ready to advance when: You have documented evidence (not assumptions) that people will pay for your solution.
Stage 2: Distribution First
Distribution is becoming the primary moat. Minimum viable audience is more crucial than minimum viable product.
Audience Building (Before Product)
- Chosen primary platform (where your customers are)
- Created content that demonstrates expertise
- Built email list or direct contact channel
- Established credibility through free value
Content Strategy
- Video content plan (mandatory for product launches)
- Written content for SEO/discovery
- Social proof collection strategy
- Community engagement approach
Distribution Channels
- Owned (email list, website, app)
- Earned (PR, word of mouth, SEO)
- Paid (ads, sponsorships) - plan, don't execute yet
Resources
Ready to advance when: You have an engaged audience waiting for what you'll build.
Stage 3: Technology Assessment
Evaluate where technology can multiply output in your business.
Strategic Alignment
- Does AI/tech align with overarching business goals?
- What competitive advantage could it provide?
- What's the cost of NOT implementing tech?
Process Efficiency Audit
- Which repetitive tasks consume too much human time?
- Where are the bottlenecks in existing processes?
- What decisions could be data-driven but aren't?
Customer Experience Opportunities
- How can customer interactions be improved?
- What data do you have on customer behavior?
- Where do customers experience friction?
Data Assessment
- What data are you currently collecting?
- What data COULD you be collecting?
- How is data informing decisions today?
AI Integration Opportunities
| Area | Question | Potential |
|---|---|---|
| Automation | What's repetitive? | High / Medium / Low |
| Decision Support | What needs faster decisions? | High / Medium / Low |
| Customer Service | Where do customers wait? | High / Medium / Low |
| Content | What content do you need more of? | High / Medium / Low |
| Analysis | What patterns are you missing? | High / Medium / Low |
Resources
Ready to advance when: You've identified 2-3 high-impact areas where tech could create 10x improvement.
Stage 4: AI Implementation Priorities
Product engineers are positioned to capture value traditionally held by consulting firms, marketing agencies, and corporate departments.
Quick Wins (Implement First)
- Content Generation - Marketing copy, documentation, emails
- Summarization - Meeting notes, research, reports
- Search Enhancement - Better internal knowledge retrieval
- Text Classification - Categorizing inputs, routing requests
Medium Complexity
- RAG with Proprietary Data - Deep knowledge systems
- Sentiment Analysis - Customer feedback, social monitoring
- Entity Extraction - Structured data from unstructured sources
- Translation - Multi-language support
Advanced Implementation
- Image/Video Processing - Classification, generation
- Personalization Engines - Recommendations, dynamic content
- Predictive Analytics - Forecasting, anomaly detection
- AI Agents - Autonomous task completion
Risk Management
- What's the business tolerance for AI errors?
- What are the ethical considerations?
- How will you handle AI failures gracefully?
- What's the human oversight model?
Cost & ROI Framework
- Implementation costs (including training)
- Expected time savings (hours/week)
- Revenue impact potential
- Timeline: quick wins vs. long-term projects
Resources
- AI Agent Profiles
- Model Context Protocol - The REST API for AI
- MCP Servers
Ready to advance when: You have a prioritized implementation roadmap with clear ROI expectations.
Stage 5: Crypto & Web3 Opportunities
Money is an abstraction for exchanging items of real value. Crypto enables new coordination mechanisms.
Foundational Understanding
- Identity & Proof of Personhood - The trust layer
- Coordination Incentives - Aligning behavior
- Tokenization Basics - What can be tokenized?
Business Applications
- Payments - Crypto payment integration
- Loyalty Programs - Token-based rewards
- Capital Formation - New fundraising mechanisms
- DeFi Integration - Yield and treasury optimization
Industry-Specific Opportunities
- Advertising - Attention tokens
- Digital Art/IP - NFT strategies
- Gaming - Play-to-earn mechanics
- Ticketing - Anti-fraud, secondary markets
- Real Estate - Fractional ownership
- Marketplaces - Decentralized alternatives
Blockchain Infrastructure
- Consumer Chains - User-friendly L1/L2s
- Interoperability - Cross-chain strategies
Resources
Ready to advance when: You've identified which crypto primitives (if any) create genuine value for your business model.
Stage 6: Industry Vertical Deep Dives
Apply operational efficiency to traditional industries via technology innovation.
High-Potential Verticals
Physical Industries (DePIN Opportunity)
- Agriculture - Farming tech
- Energy - Solar, grid optimization
- Mining - Automation, safety
- Construction - Project management, robotics
- Manufacturing - Smart factories
- Telecommunications
Enabling Technologies
Vertical Integration Assessment
- Which industry do you have domain expertise in?
- Where are the biggest inefficiencies?
- What's the regulatory landscape?
- Who are the incumbents and what are they missing?
Resources
Ready to advance when: You've chosen a vertical and identified your entry wedge.
Stage 7: Execution & Scaling
Speed and adaptation are critical. The window of opportunity is unique but potentially brief.
Execution Priorities
- Start with smallest viable experiment
- Build in public (amplify distribution)
- Focus on speed to learning, not speed to perfection
- Establish feedback loops with customers
Scaling Considerations
- What breaks at 10x current scale?
- Where should you build vs. buy vs. partner?
- What's your hiring strategy (humans + AI)?
- How will you maintain culture as you grow?
Ongoing Assessment
- Weekly: Metrics review, course corrections
- Monthly: Strategy alignment check
- Quarterly: Major pivots if needed
- Annually: Business model evolution
Resources
Quick Links
Diagrams | Matrices | Thinkers
Jurisdiction Checklist
Legal and compliance requirements vary by country. Link to your country page and check:
| Check | Where to Find It | Status |
|---|---|---|
| Company registration requirements | Country page -- Structure section | |
| Tax obligations (GST/VAT/Sales tax) | Country page -- Regulation section | |
| Privacy/data protection laws | Country page -- Regulation section | |
| Industry-specific regulations | Country page -- Industry section | |
| Employment law (if hiring) | Country page -- Know-How section | |
| IP protection available | Country page -- Resources section |
Gold Standard
A venture that passes all 7 stages has:
Stage 0: Founder who can articulate in one sentence why THEY should build THIS business NOW -- not "because AI is big" but "because I spent 10 years in trade businesses watching owners lose Fridays to bookkeeping."
Stage 1: Documented evidence from 10+ conversations. Actual quotes. "That's interesting" doesn't count -- "I'd pay $100/month for that" counts.
Stage 2: An audience waiting before the product exists. Email list of 200+. Content that demonstrates expertise. People asking "when can I try this?"
Stage 3: Two or three specific processes where technology creates 10x improvement -- named, measured, prioritized. Not "AI could help everywhere."
Stage 4: A prioritized implementation roadmap where quick wins fund harder problems. ROI projections per initiative.
Stage 5: Honest assessment of which crypto primitives (if any) create value. Most businesses: none. Some businesses: payments, loyalty, or coordination mechanisms.
Stage 6: Chosen vertical with an entry wedge. Domain expertise the founder already has -- not expertise they plan to acquire.
Stage 7: Running experiments with real customers. Weekly metrics. Course corrections based on data, not hope.
The pattern: Each stage produces evidence that feeds the next. The checklist is paint by numbers -- the colour is your judgment about what the evidence means.
Questions
Which stage gate are you avoiding — and what would answering it honestly change about your plan?
- If you could only complete three of the seven stages, which three would give you the strongest signal on whether to proceed?
- At what point does working through a checklist become a substitute for talking to real customers?
- Which stage would benefit most from AI assistance — and which requires irreducible human judgment?