Startup Idea Classification Framework
Purpose
This recipe produces a formal classification of a startup idea into one of 12 primary business model types, with secondary type identification for hybrid models. The output determines which downstream playbooks, metrics, capital requirements, and go-to-market strategies apply. Misclassification wastes months pursuing wrong benchmarks and investor expectations.
Prerequisites
- Startup idea description (minimum 2-3 sentences describing what the product does and for whom)
- Revenue hypothesis (even rough — "we'd charge monthly" or "we'd take a cut of transactions")
- Target customer segment (B2B, B2C, B2B2C, or B2G)
Constraints
- Most startups blend 2-3 models. Classify by primary revenue driver, not feature list. A SaaS tool with a marketplace feature is still SaaS if subscriptions drive >60% of revenue. [src1]
- Hardware startups require 3-10x more capital than pure software. This classification directly affects fundraising strategy and investor targeting. [src6]
- AI-native startups should be classified by delivery model (API service, embedded AI, platform), not by the technology itself. [src3]
- Classification is not permanent. Many startups pivot model types. Revisit classification after each major pivot. [src4]
Tool Selection Decision
| Path | Tools | Cost | Speed | Output Quality |
|---|---|---|---|---|
| A: Direct Classification | Text editor | $0 | 15 min | High |
| B: Revenue Discovery | Questionnaire + text editor | $0 | 30 min | Medium-high |
| C: Batch Classification | Spreadsheet | $0 | 45 min | High |
| D: Automated Extraction | LLM + structured output | $0.01-0.05 | 5 min | Medium |
Execution Flow
Step 1: Gather Idea Signals
Duration: 10 minutes. Collect 8 signals covering delivery method, revenue model, customer segment, supply side, network effects, marginal cost, switching cost, and moat type.
Step 2: Apply Classification Decision Tree
Duration: 10 minutes. Map signals through the decision tree to arrive at primary business model type from 12 categories: SaaS, Marketplace, Hardware/D2C, E-Commerce, Professional Services, Productized Service, Tech-Enabled Services, API/Infrastructure, Developer SaaS, Media/Content, Network/Social, Subscription Media.
Step 3: Score Hybrid Model Fit
Duration: 10 minutes. For multi-type ideas, score each candidate on 5 weighted dimensions: revenue alignment (0.30), operational alignment (0.25), investor expectation (0.20), scaling path (0.15), competitive positioning (0.10).
Step 4: Map to Applicable Playbooks and Metrics
Duration: 10 minutes. Assign primary metric, key playbooks, capital requirement range, and timeline to revenue based on classification type.
Step 5: Generate Classification Report
Duration: 5 minutes. Compile JSON report with primary type, secondary type, confidence score, applicable playbooks, and classification rationale.
Quality Benchmarks
| Quality Metric | Minimum | Good | Excellent |
|---|---|---|---|
| Signal completeness | > 6/8 | 8/8 | 8/8 with notes |
| Classification confidence gap | > 0.5 | > 1.0 | > 2.0 |
| Playbook mapping | ≥ 3 | ≥ 5 | ≥ 7 with sequencing |
Error Handling
| Error | Cause | Recovery |
|---|---|---|
| Idea maps to 3+ types equally | Idea too broad | Define initial wedge product, classify that |
| No matching type in tree | Novel business model | Classify by closest analog, document deviations |
| Founder disagrees | Different mental model | Review signals together, re-score |
Cost Breakdown
| Component | Free | Paid | At Scale |
|---|---|---|---|
| Classification framework | $0 | $0 | $0 |
| Research validation | $0 | $50-100 | $500+ |
| Facilitation | $0 | $200-500 | $2,000+ |
Anti-Patterns
Wrong: Classifying by technology instead of business model
Calling it an "AI startup" tells nothing about go-to-market, metrics, or capital needs. [src1]
Correct: Classify by delivery and revenue model
Use the 8-signal framework to determine how value is delivered and how money flows.
When This Matters
Use this recipe as the first step in any startup planning pipeline. Every downstream decision depends on correct business model classification.