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Overview

Parametric estimation uses statistical relationships between historical data and variables to calculate estimates, applying mathematical models like "cost per square foot" or "hours per feature."

How It Works

Formula: Estimate = Unit Cost × Number of Units

Examples:

  • Software: Hours per function point
  • Construction: Cost per square foot
  • Manufacturing: Time per unit
  • Writing: Words per hour

Advantages

  • Objective and repeatable
  • Based on statistical data
  • Scales easily
  • Quick to calculate
  • Improves with more data

Requirements

  • Historical data
  • Measurable parameters
  • Statistical validity
  • Similar conditions
  • Reliable metrics

Common Parameters

Software Development

  • Lines of code
  • Function points
  • Story points
  • Features/modules
  • Screens/pages

Construction

  • Square footage
  • Number of rooms
  • Building height
  • Material quantities

Content Creation

  • Word count
  • Page count
  • Article count
  • Video minutes

Time Tracking Integration

  • Track time by measurable unit
  • Calculate average rates
  • Build historical database
  • Refine parameters over time
  • Improve estimation accuracy