Manufacturing Sales Engineering, Estimating & Quoting Operations worked example
Cost Model Confidence Score at 65% target confidence: a worked example
Here is what the math looks like when conditions slip. We hold every other input steady and drop target confidence to 65%, then walk the calculation through step by step. Score cost-model confidence for Manufacturing Sales Engineering, Estimating & Quoting Operations — the share of estimate lines backed by firm quotes or actuals.
The inputs for this scenario
- Cost lines backed by firm quotes/data: 34 lines (held at the documented default)
- Total cost lines in the estimate: 40 lines (held at the documented default)
- Target confidence: 65 % (the input this scenario stresses; the baseline uses 90)
Working through the calculation
- The calculation starts from the formula this tool documents: Confidence = cost lines backed by firm data ÷ total cost lines.
- Cost-model confidence works out to 85 % at these inputs, and this is the headline figure for the scenario.
- Gap to target works out to -20 points at these inputs.
- Firm-backed cost lines works out to 34 value at these inputs.
- Total cost lines works out to 40 value at these inputs.
How this compares with the baseline
- Against the tool's baseline example, where target confidence sits at 90% and the headline result is 85 %, this scenario lands almost exactly on the baseline at 85 %.
- The practical read: the gap between this scenario and the baseline is entirely attributable to target confidence, so recovering it is worth quantifying in dollars before considering equipment or staffing changes. It counts lines equally, so a high score can still mask risk if one unbacked line carries most of the dollar value — weight by cost for big estimates.
Results at a glance
- Cost-model confidence: 85 % (headline result)
- Gap to target: -20 points
- Firm-backed cost lines: 34 value
- Total cost lines: 40 value
Run it with your numbers
- To rerun this with your own numbers, open the live Cost Model Confidence Score calculator, set target confidence to your actual value, and adjust the remaining inputs to match your operation.
Last reviewed 2026-05-12.