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How to Build an Effective RFP Scoring System

Written by Sagee Moyal | Mar 4, 2025 11:08:56 PM

How to Build an Effective RFP Scoring System

When evaluating RFP software opportunities, the difference between winning and wasting resources often comes down to one thing: your scoring system. Without a structured framework, AEs, Capture Managers, Pre-Sales, and the C-Suite spend countless hours debating bid viability instead of focusing on real opportunities.

A strong RFP scoring system enables your team to qualify and prioritize bids in seconds, not daysโ€”saving thousands of hours per year. Hereโ€™s how to build one that works.

Step 1: Define Key Scoring Criteria

Every RFP platform has different requirements, but the fundamental question remains: Should we pursue this bid? Establishing clear criteria ensures every RFP is measured against the same standard.

๐Ÿ”น Strategic Fit โ€“ Does this align with company goals?
๐Ÿ”น Customer Relationship โ€“ Do we have an existing relationship or a path to influence?
๐Ÿ”น Competitive Position โ€“ Who else is bidding, and can we win?
๐Ÿ”น Solution Fit โ€“ Do we meet the technical and security requirements?
๐Ÿ”น Revenue Potential โ€“ Is the deal size worth the effort?
๐Ÿ”น Resource Availability โ€“ Can we deliver without stretching the team too thin?

Assigning weights to these criteria prevents internal debates and ensures alignment between sales, leadership, and delivery teams.

Step 2: Implement a Weighted Scoring Model

Instead of a yes/no decision process, use a weighted scoring model to quantify bid viability.

๐Ÿ“Œ Example:

Criteria

Weight (%)

Score (1-5)

Weighted Score

Strategic Fit

25%

4

1.0

Customer Relationship

20%

3

0.6

Competitive Position

20%

2

0.4

Solution Fit

15%

5

0.75

Revenue Potential

10%

4

0.4

Resource Availability

10%

3

0.3

Total Score

100%

 

3.45 / 5

Set a thresholdโ€”for example, only pursue bids with a score of 3.5+. If a bid falls below, itโ€™s a no-go unless leadership overrides.

Step 3: Automate RFP Scoring with AI

Manually applying a scoring model for every bid is slow and inefficient. AI-driven RFP response tools like Iris AI automate this process:

โœ… Extracts key bid requirements in seconds
โœ… Applies your custom scoring framework instantly
โœ… Generates an AI-powered bid/no-bid recommendation
โœ… Integrates with security questionnaire automation for compliance checks

Rather than waiting for multiple stakeholder reviews, your team can get a preliminary score in 30 seconds, then refine as needed.

Step 4: Standardize and Continuously Improve

Once an RFP scoring system is in place, refine it over time:

๐Ÿ“Š Track historical win rates โ€“ Does high scoring correlate with wins?
๐Ÿ“‰ Identify low-value pursuits โ€“ If most low-scoring bids result in losses, reinforce the cutoff.
๐Ÿ”„ Adjust weights as needed โ€“ If security questionnaire response automation factors heavily into past losses, increase its importance.

The goal is to build a repeatable process that removes guesswork and lets sales teams focus on winnable deals.

Try Iris AI โ€“ Score Bids in Seconds

With Iris AI, you can move from RFP chaos to clarity in under a minute.

๐Ÿ”น Sign up at  pro.heyiris.ai (5 free credits + 3 per referral)
๐Ÿ”น Test AI-driven scoring for real RFPs
๐Ÿ”น Automate qualification and optimize bid strategy

The fastest way to stop wasting time on the wrong RFPs? Let AI do the first pass.