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
Define evaluation criteria for comparing these options:
[Options description]
Include criteria categories and recommended weights.
Calculate Option Scores
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
Perform sensitivity analysis on this evaluation:
[Evaluation results]
Vary weights by +/- 20% and show impact on ranking.
Generate Recommendation
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
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
a5c-ai