How do you calculate a quote accuracy risk priority score?

Multiply the severity, occurrence, and detection-difficulty ratings together on a common scale. Here a severity of 7, occurrence of 4, and detection of 5 combine into a risk priority score of 5.45 on the normalized scale shown.

What do severity, occurrence, and detection mean here?

Severity is how damaging a quoting error is if it ships, occurrence is how frequently that error arises, and detection difficulty is how hard it is to catch before order release. Higher numbers mean worse, more frequent, or harder to catch.

What is a good quote accuracy score?

Lower is better. There is no universal pass mark; instead rank all your quoting failure modes by score and attack the highest first. A score is a relative priority signal, not an absolute grade.

Why is detection difficulty so important in quoting?

A severe, frequent error is tolerable if your CPQ catches it every time before release. Detection difficulty captures whether your validation rules and reviews actually catch the error; high detection difficulty pushes the score up even when severity is moderate.

How is this different from a generic FMEA RPN?

It uses the same severity-times-occurrence-times-detection logic but frames every rating around quoting outcomes in configure-to-order, mispricing, invalid configurations, and missing scope, so the scores are directly comparable across quoting risks.

Should I use the same scale for configuration and order-release risks?

Yes. Keeping one scoring scale across configuration, quote, rule, and order-release risks lets you compare them side by side and direct improvement effort where it cuts the most total risk.

Configure-to-Order & Product Configuration calculator

Quote Accuracy Score Calculator

The Quote Accuracy Score is an FMEA-style risk priority number for configure-to-order quoting, combining how bad a quoting error is, how often it happens, and how hard it is to catch before the order releases. Sales engineers, configurator owners, and quality teams use it to rank quoting failure modes, mispriced options, invalid feature combinations, missing labor, against each other on one consistent scale. Quoting errors that escape to a released order cause margin leakage, rework, and unhappy customers, so knowing which risks to fix first is valuable. Scoring keeps the prioritization objective instead of driven by whoever complained loudest.

What this calculator does

Rank quote accuracy risk for configure-to-order pricing, options, discounts, and BOM assumptions.
prioritizing controls that improve quote accuracy
It combines the severity, occurrence, and detection-difficulty ratings for a quoting failure mode into a single risk priority score used to rank quoting risks.

Formula used

Quote Accuracy Score risk priority score = quote accuracy severity score × quote accuracy occurrence score × quote accuracy detection difficulty score
Use the same scoring scale when comparing configuration, quote, rule, and order-release risks.

Inputs explained

Quote error severity rating:
Quote error occurrence rating:
Quote error detection difficulty rating:

How to use the result

Use it when reviewing configurator rules, auditing quote errors, or prioritizing which quoting failure modes to fix in a CPQ improvement sprint.
The score is only as good as the rating judgments behind it; identical numeric scores can mask very different real-world risks, so use it to rank, not to set absolute thresholds.

Common questions

How do you calculate a quote accuracy risk priority score? Multiply the severity, occurrence, and detection-difficulty ratings together on a common scale. Here a severity of 7, occurrence of 4, and detection of 5 combine into a risk priority score of 5.45 on the normalized scale shown.
What do severity, occurrence, and detection mean here? Severity is how damaging a quoting error is if it ships, occurrence is how frequently that error arises, and detection difficulty is how hard it is to catch before order release. Higher numbers mean worse, more frequent, or harder to catch.
What is a good quote accuracy score? Lower is better. There is no universal pass mark; instead rank all your quoting failure modes by score and attack the highest first. A score is a relative priority signal, not an absolute grade.
Why is detection difficulty so important in quoting? A severe, frequent error is tolerable if your CPQ catches it every time before release. Detection difficulty captures whether your validation rules and reviews actually catch the error; high detection difficulty pushes the score up even when severity is moderate.
How is this different from a generic FMEA RPN? It uses the same severity-times-occurrence-times-detection logic but frames every rating around quoting outcomes in configure-to-order, mispricing, invalid configurations, and missing scope, so the scores are directly comparable across quoting risks.

Last reviewed 2026-05-12.