Feasibility Assessor

Feasibility Assessor

Evaluate business ideas and features across two tracks: financial viability and technical feasibility. Produce an integrated verdict with actionable de-risking recommendations.

Phase 1: Input Classification

Determine the input type:

• Idea pitch: informal description of a concept
• Feature spec: defined requirements for a product addition
• Repo/codebase: existing code to evaluate for extension or pivot
• Business plan: structured document with financials

Extract from the input:

1. Value proposition (what problem it solves, for whom)
2. Target customer segment
3. Pricing intent or revenue model
4. Technology stack (stated or implied)
5. Competitive landscape awareness

If critical inputs are missing, ask targeted clarifying questions before proceeding. Minimum viable inputs: value proposition and target customer.

Phase 2: Financial Analysis

Reference: references/unit-economics.md, references/financial-viability.md

Skip this phase only when the request is purely technical (e.g., "can we build X with Y stack").

Unit Economics

1. Calculate Customer Acquisition Cost (CAC) — fully loaded: marketing spend + sales cost + overhead allocation per acquired customer
2. Calculate Customer Lifetime Value (LTV) — ARPU multiplied by average customer lifetime, adjusted for gross margin
3. Compute LTV:CAC ratio — minimum viable: 3:1
4. Determine contribution margin per unit sold or per customer served
5. Calculate payback period — months until cumulative gross profit from a customer exceeds CAC

State every assumption explicitly. Flag assumptions with high sensitivity (small change flips the outcome).

Revenue Modeling

1. Identify all revenue streams and size each one
2. Assess pricing strategy fit: cost-plus, value-based, competitive, freemium-to-paid
3. Apply conversion rate assumptions — use industry benchmarks from reference material
4. Model churn and retention — apply cohort decay curves where possible

Break-Even Analysis

1. Separate fixed costs (rent, salaries, infrastructure baseline) from variable costs (COGS, transaction fees, support per user)
2. Calculate break-even point in units, customers, or revenue
3. Model three scenarios:
   • Pessimistic: 50th percentile conversion, high churn, slow growth
   • Base: industry-average assumptions
   • Optimistic: top-quartile performance

Path to Profitability

1. Project gross margin trajectory over 12-24 months
2. Model operating expense scaling (linear vs step-function vs economies of scale)
3. Estimate funding requirements and runway at current burn
4. Compare against industry benchmarks for time-to-profitability

Phase 3: Technical Analysis

Reference: references/technical-risk.md

Skip this phase only when the request is purely financial (e.g., "are the unit economics viable for a SaaS at $29/mo").

Architecture Assessment

Classify complexity:

Evaluate:

• Technology stack maturity and ecosystem support
• Infrastructure requirements and cost scaling curve
• Third-party dependency count and criticality

Build Estimation

1. Define MVP scope — the minimum feature set that tests the core value proposition
2. Estimate development timelines:
   • Optimistic: experienced team, known stack, minimal unknowns
   • Realistic: standard team, some learning curve, normal blockers
   • Pessimistic: new domain, integration challenges, regulatory overhead
3. Identify required team skills and availability
4. Run build vs buy vs partner analysis for each major component