Parametric Estimating is a technique that calculates estimates by leveraging statistical relationships between variables. In essence, it applies a mathematical model to predict costs, durations, or resource requirements. The complexity of the model can vary depending on the nature and scope of the project or activity being estimated.
Example:
A simple parametric model can be built in a spreadsheet using variables such as:
- Number of senior programmers
- Number of junior programmers
- Pay rate for senior programmers
- Pay rate for junior programmers
- Project duration (in months)
- Work hours per month (e.g., 160 or 173.33)
Prerequisites:
- ROM (Rough Order of Magnitude) parametric estimating spreadsheet
Steps to Perform Parametric Estimating:
- Create the estimating spreadsheet – Set up the framework with relevant variables and formulas.
- Populate the spreadsheet – Input data and assumptions based on the project requirements.
- Refine the estimate – Adjust assumptions and update the spreadsheet iteratively to improve accuracy.
- Document the estimates – Record the final estimates along with the assumptions and rationale for transparency.
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