How do you calculate awarded RFQs per estimating hour?

Divide awarded quotes by the estimating and sales hours used, then multiply by opportunity confidence. With 14 awards over 86 hours at 92% confidence, that is 0.163 × 0.92 = 0.150 effective awards per hour.

What is a good quote win rate for a job shop?

By count, many shops win 20-35% of the RFQs they fully quote. This calculator instead frames it per estimating hour, so a 'good' number depends on your job size — measure your own baseline and watch the trend.

Win rate by count vs awards per hour — which should I track?

Win-by-count tells you how persuasive your quotes are; awards per hour tells you how efficiently your estimators produce wins. Track both — a high win rate that takes huge hours per quote still limits throughput.

Why multiply by opportunity confidence?

Not every counted award is equally solid; some hinge on customer financing, prototype approval, or release timing. The 92% confidence factor discounts the raw rate to an effective rate you can plan capacity around.

How do I improve awards per estimating hour?

Quote faster with reusable templates, qualify out long-shot RFQs before estimating, and focus hours on customers with high historical win rates. Each reduces hours spent without losing wins.

Contract Manufacturing, Job Shop Quoting & Make-to-Order calculator

Quote Win Rate Calculator

Quote win rate, expressed here as awarded RFQs per estimating hour, measures how productively your estimating and sales time turns quotes into jobs. Rather than a simple win percentage, it ties wins to the hours invested and discounts them by how confident you are the pipeline is real. Estimating managers use it to see whether more quoting hours actually produce more awards or just more activity. On a make-to-order floor where estimating capacity is scarce, this is the throughput metric for the front office.

What this calculator does

Estimate awarded RFQs per estimating hour for a job shop quoting pipeline.
tracking whether quoting effort is converting into awarded customer orders efficiently
It computes raw awarded quotes per estimating hour, then scales that by qualified opportunity confidence to give an effective award rate.

Formula used

awarded RFQs per estimating hour = awarded quotes ÷ estimating and sales hours used
effective awarded RFQs per estimating hour = awarded rfqs per estimating hour × qualified opportunity confidence

Inputs explained

awarded quotes: Count RFQs or customer quote revisions that turned into released orders in the measured period.
estimating and sales hours used: Use total estimator, sales engineering, and follow-up hours tied to the same RFQ population.
qualified opportunity confidence: Apply a confidence factor for quotes with comparable scope, pricing authority, and realistic award probability.

How to use the result

Use it to benchmark estimating productivity, compare estimators or product lines, or decide whether to add quoting capacity.
It rewards volume of wins per hour but says nothing about the dollar value or margin of those wins — a high rate of tiny jobs can still starve the shop.

Current U.S. benchmarks

The U.S. prime lending rate is 6.75% (Federal Reserve via FRED, 2026-07-02). Payback and financing math should start from today's rate, not a remembered one.

Common questions

How do you calculate awarded RFQs per estimating hour? Divide awarded quotes by the estimating and sales hours used, then multiply by opportunity confidence. With 14 awards over 86 hours at 92% confidence, that is 0.163 × 0.92 = 0.150 effective awards per hour.
What is a good quote win rate for a job shop? By count, many shops win 20-35% of the RFQs they fully quote. This calculator instead frames it per estimating hour, so a 'good' number depends on your job size — measure your own baseline and watch the trend.
Win rate by count vs awards per hour — which should I track? Win-by-count tells you how persuasive your quotes are; awards per hour tells you how efficiently your estimators produce wins. Track both — a high win rate that takes huge hours per quote still limits throughput.
Why multiply by opportunity confidence? Not every counted award is equally solid; some hinge on customer financing, prototype approval, or release timing. The 92% confidence factor discounts the raw rate to an effective rate you can plan capacity around.
How do I improve awards per estimating hour? Quote faster with reusable templates, qualify out long-shot RFQs before estimating, and focus hours on customers with high historical win rates. Each reduces hours spent without losing wins.

Last reviewed 2026-05-12.