felipecustodio Overview & Purpose
Decision Framework structures complex choices with multiple competing options and criteria. It eliminates subjective bias by using weighted decision matrices and risk-reward scoring.
When to Use
- Technology Selection: Choosing between frameworks, databases, or vendors.
- Strategic Prioritization: Evaluating features, projects, or architectural directions.
Execution Workflow
- Define Options: List candidate choices ($O_1, O_2, \dots, O_m$).
- Establish Criteria & Weights: Define evaluation criteria ($C_1, C_2, \dots, C_n$) and assign weights ($\sum w_i = 1.0$).
- Score Candidates: Score each option on a 1-10 scale for each criterion.
- Calculate Weighted Scores: Total Score $= \sum (Score_{ij} \times w_j)$.
- Recommendation: Recommend the highest-scoring option with sensitivity analysis.
Expected Output Contract
### Decision Matrix
| Criterion (Weight) | Option A | Option B | Option C |
| :--- | :--- | :--- | :--- |
| Performance (0.4) | 8 (3.2) | 6 (2.4) | 9 (3.6) |
| Cost (0.3) | 7 (2.1) | 9 (2.7) | 5 (1.5) |
| **Total Score** | **5.3** | **5.1** | **5.1** |
**Winning Choice**: Option A
Scripts
scripts/decision_framework.py- Deterministic evaluation, state validation, and CLI tool for decision-framework.