Options Scoring Calculator
Overview
The Options Scoring Calculator skill provides specialized capabilities for multi-criteria decision analysis when evaluating solution options. This skill enables objective comparison of alternatives through weighted scoring, sensitivity analysis, and comprehensive recommendation development.
Capabilities
Weighted Evaluation Criteria Definition
- •Define evaluation criteria with weights
- •Validate weight allocation (sum to 100%)
- •Group criteria by category
- •Apply hierarchical weighting
Weighted Score Calculation
- •Calculate weighted scores across options
- •Normalize scores to common scale
- •Handle missing data appropriately
- •Generate score breakdowns
Sensitivity Analysis
- •Perform sensitivity analysis on weights
- •Identify critical criteria affecting outcomes
- •Test robustness of rankings
- •Generate sensitivity charts
Comparison Matrix Heat Maps
- •Generate comparison matrices with heat maps
- •Visualize strengths and weaknesses
- •Highlight differentiating factors
- •Create spider/radar charts
Pros/Cons Summaries
- •Create structured pros/cons summaries
- •Weight significance of each factor
- •Generate balanced assessments
- •Develop risk-adjusted views
Feasibility Score Calculation
- •Calculate feasibility scores by dimension
- •Assess technical feasibility
- •Assess operational feasibility
- •Assess economic feasibility
Recommendation Confidence Levels
- •Generate recommendation confidence levels
- •Factor in analysis limitations
- •Consider uncertainty in inputs
- •Provide confidence intervals
Usage
Define Evaluation Criteria
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Define evaluation criteria for comparing these options: [Options description] Include criteria categories and recommended weights.
Calculate Option Scores
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Calculate weighted scores for these options: Criteria and Weights: [Criteria list with weights] Options: [Option details with ratings] Generate ranking and score breakdown.
Perform Sensitivity Analysis
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Perform sensitivity analysis on this evaluation: [Evaluation results] Vary weights by +/- 20% and show impact on ranking.
Generate Recommendation
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Generate a recommendation from this analysis: [Scored options with analysis] Include confidence level and key considerations.
Process Integration
This skill integrates with the following business analysis processes:
- •solution-options-analysis.js - Core options evaluation
- •business-case-development.js - Option comparison for business cases
- •requirements-elicitation-workshop.js - Prioritization activities
Dependencies
- •Decision analysis algorithms
- •Statistical functions for sensitivity
- •Visualization libraries
- •Recommendation templates
Multi-Criteria Decision Analysis Reference
Weighted Scoring Matrix Template
| Criteria | Weight | Option A | Option B | Option C |
|---|---|---|---|---|
| Cost | 30% | 4 (1.2) | 3 (0.9) | 5 (1.5) |
| Quality | 25% | 5 (1.25) | 4 (1.0) | 3 (0.75) |
| Speed | 20% | 3 (0.6) | 5 (1.0) | 4 (0.8) |
| Risk | 15% | 4 (0.6) | 3 (0.45) | 4 (0.6) |
| Fit | 10% | 3 (0.3) | 4 (0.4) | 5 (0.5) |
| Total | 100% | 3.95 | 3.75 | 4.15 |
Rating Scale
| Score | Description | Guidelines |
|---|---|---|
| 5 | Excellent | Exceeds all requirements |
| 4 | Good | Meets all requirements well |
| 3 | Acceptable | Meets minimum requirements |
| 2 | Poor | Partially meets requirements |
| 1 | Unacceptable | Does not meet requirements |
Common Evaluation Criteria Categories
| Category | Example Criteria |
|---|---|
| Financial | Cost, ROI, TCO, Payback period |
| Technical | Performance, Scalability, Security |
| Operational | Ease of use, Maintenance, Support |
| Strategic | Alignment, Future-proofing, Innovation |
| Risk | Implementation risk, Vendor risk, Technology risk |
| Time | Time to implement, Time to value |
Feasibility Dimensions
| Dimension | Key Questions |
|---|---|
| Technical | Can we build/implement it? Do we have the skills? |
| Operational | Can we operate it? Does it fit our processes? |
| Economic | Can we afford it? Is the ROI acceptable? |
| Legal | Does it comply with regulations? |
| Schedule | Can we deliver it in time? |
Sensitivity Analysis Approach
- •Establish base case with current weights
- •Vary one criterion weight at a time (+/- 20%)
- •Recalculate option scores
- •Identify criteria that change the ranking
- •Report "switching point" weights
Recommendation Framework
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RECOMMENDATION: [Option X] CONFIDENCE LEVEL: [High/Medium/Low] RATIONALE: - [Key strength 1] - [Key strength 2] - [Key strength 3] KEY RISKS: - [Risk 1 with mitigation] - [Risk 2 with mitigation] ALTERNATIVES CONSIDERED: - Option Y: Not recommended because [reason] - Option Z: Not recommended because [reason] NEXT STEPS: 1. [Immediate action] 2. [Follow-up action]
Decision Documentation Checklist
- • All options fully described
- • Criteria aligned with objectives
- • Weights agreed by stakeholders
- • Ratings based on evidence
- • Sensitivity analysis completed
- • Risks identified and assessed
- • Recommendation justified
- • Decision authority identified