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Module 2: Project Selection Framework

🧱 Module Purpose

To filter discovered AI opportunities from Module 1 through a structured decision-making process. This ensures selected projects are feasible, valuable, and strategically aligned with the organization’s goals, avoiding wasted effort and aligning technical efforts with high-impact outcomes.


🔍 Sub-Components & Templates

1. Feasibility Scoring Matrix

Evaluate opportunities on four weighted criteria:

  • Data Availability (30%)
  • Technical Complexity (25%)
  • User Access for Testing (20%)
  • Value Potential (25%)

Each is scored on a 1–10 scale, with weighted averages used for comparison and ranking.

From original framework draft + Perplexity FW1 + Gemini research


2. Build-vs-Buy-vs-Wait Decision Matrix

A structured guide to determine the right path:

  • Build: High value + feasible with internal tools/skills + no strong existing solution
  • Buy: High value + not feasible internally + good external options exist
  • Wait: High potential but current constraints (technical/legal/data) suggest deferring

Adapted from Module 2 detailed guidance in Perplexity FW1 and Agentic Framework.txt


3. Value Assessment Rubric

Quantify the potential business impact:

  • Time Savings (hours saved/week or FTE impact)
  • Revenue Impact (direct or indirect)
  • Learning Value (team capability growth)
  • Strategic Differentiation (market positioning)

Informed by Gemini ROI models and Google KPI evaluation strategies


4. Project Viability Summary Template

A one-page summary template to evaluate:

  • Feasibility score + value score
  • Initial build-vs-buy recommendation
  • Required inputs and missing components
  • Stakeholder alignment level
  • Risk notes (if early known)

Final output of Module 2 that flows into Module 3 validation work


5. Resource Estimation Framework

Benchmarks based on project complexity:

Project Type Cost Estimate Timeline Team Size Skill Level
Simple Agent $5K–$50K 1–2 months 1–2 people Basic scripting
Startup MVP $50K–$150K 2–4 months 2–4 people ML familiarity
Enterprise Solution $400K–$1M+ 6–12 months 8–15 people Full AI/ML team

Based on Perplexity’s market research and real-world resource benchmarking


📈 Success Metrics

  • Project Viability Score (composite of feasibility + value)
  • Build-vs-Buy Accuracy (tracked against outcome)
  • Selection to Prototype Conversion Rate (flows to Module 7)
  • Stakeholder Confidence Score (qualitative or survey-based)

🛠 Tool & Integration Suggestions

  • Spreadsheet: Google Sheets/Excel templates for scoring and decision matrices
  • Miro: Visual decision trees and project mapping
  • Lucidchart: Architecture sketching for early-stage builds
  • Integrated Input: Use outputs from Module 1 directly for project candidates

📦 Reusable Templates Included

  • Feasibility Scoring Worksheet
  • Value Assessment Calculator
  • Build-vs-Buy-vs-Wait Decision Matrix
  • Project Viability Summary Template
  • Cost/Timeline Estimation Guide

🔄 Development Tracks Mapping

Track Flow Outcome
Weekend Warrior Fast feasibility + value score worksheet → project decision One build-ready, low-friction idea
Startup Full scorecard + ROI canvas + viability brief 1–2 validated MVP candidates
Enterprise Formal stakeholder alignment + resourcing benchmark + project brief One selected project with business case buy-in

🔗 External References to Incorporate


🔁 Dependency Links

  • Input: Outputs from Module 1 (Opportunity Discovery shortlist, scores)
  • Feeds into: Module 3 (Purpose & Opportunity Validation)