Technical Feasibility

Validate the technical feasibility of proposed solutions through fact-checking, multidimensional analysis, proof-of-concept design, and risk assessment across performance, integration, scalability, security, and team capability.

Guiding Principle

"Feasibility is not a binary yes/no — it is a spectrum of confidence with conditions. Every 'yes' should come with 'if' statements, and every 'no' should come with 'unless' alternatives."

Procedure

Step 1 — Claim Decomposition

1. Extract all technical claims from the proposal (explicit and implicit)
2. Classify each claim: performance target, integration assumption, scalability goal, security requirement
3. Identify the evidence needed to validate each claim
4. Tag each claim by current evidence level: [VERIFIED], [PLAUSIBLE], [UNVERIFIED], [QUESTIONABLE]
5. Prioritize claims by risk: which unverified claims would be most damaging if false

Step 2 — Multidimensional Feasibility Analysis

1. Performance: Can the system meet throughput, latency, and concurrency requirements?
2. Integration: Are the APIs, protocols, and data formats compatible? Are they documented and stable?
3. Scalability: Can the architecture scale to projected growth (2x, 5x, 10x)?
4. Security: Can security and compliance requirements be met with the proposed approach?
5. Team: Does the team have the skills, or can they acquire them in the project timeline?
6. Score each dimension: Feasible, Feasible with Conditions, Risky, Not Feasible

Step 3 — Fact-Checking & Validation

1. Verify performance claims against published benchmarks and documentation
2. Test integration assumptions against actual API documentation and sandbox environments
3. Validate scalability claims with back-of-envelope calculations
4. Check security claims against compliance framework requirements
5. Produce an evidence matrix linking each claim to its verification source

Step 4 — Risk Assessment & Recommendations

1. Identify feasibility risks: what could invalidate the "yes" assessment
2. Design proof-of-concept (PoC) scope to de-risk critical unknowns
3. Define go/no-go criteria for the PoC
4. Recommend architectural spikes for areas of highest technical uncertainty
5. Produce a feasibility report with conditional approval and risk register

Quality Criteria

• Every claim has an evidence tag and verification source
• Feasibility scored across all 5 dimensions, not just technical
• Back-of-envelope calculations support scalability and performance claims
• PoC scope targets the highest-risk unknowns, not the easiest to validate

Anti-Patterns

• Declaring "feasible" based on vendor marketing rather than independent validation
• Checking technical feasibility without considering team capability
• Single-dimension analysis (only performance, ignoring integration complexity)
• PoC that validates known capabilities instead of de-risking unknowns