Building Evaluation Criteria and Scoring Models
Better decisions start with structured evaluation. This guide covers how to build criteria, configure scoring models, and use fit analysis to determine which opportunities deserve your team's investment.
Extract Criteria from RFx Documents
Muqaddam's AI automatically identifies evaluation criteria, weightings, and scoring rubrics from uploaded RFx packages. Review and refine these extracted criteria to build your evaluation framework.
Design Weighted Scoring Models
Assign weights to different evaluation dimensions — technical capability, past experience, pricing competitiveness, team qualifications. The platform calculates composite scores that reflect your strategic priorities.
Assess Strategic Fit Before Committing
Use fit analysis to compare your organization's strengths against RFx requirements. Identify gaps early and make informed go/no-go decisions before investing significant resources.
Track Scoring Outcomes Over Time
Correlate scoring predictions with actual proposal outcomes. Over time, refine your models to improve prediction accuracy and resource allocation.
Best Practices
- Always review AI-extracted criteria — refine weights based on your domain expertise.
- Include at least one risk-oriented criterion in every scoring model.
- Document your go/no-go threshold so the team has a clear decision framework.
- Compare predicted scores to actual outcomes quarterly to calibrate your models.