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Project Estimation
Table of Contents
Overview
When to Use
Quick Start
Reference Guides
Best Practices
Overview
Accurate project estimation determines realistic timelines, budgets, and resource allocation. Effective estimation combines historical data, expert judgment, and structured techniques to minimize surprises.
When to Use
Defining project scope and deliverables
Creating project budgets and timelines
Allocating team resources
Managing stakeholder expectations
Assessing project feasibility
Planning for contingencies
Updating estimates during project execution
Quick Start
Minimal working example:
# Three-point estimation technique for uncertainty
class ThreePointEstimation:
@staticmethod
def calculate_pert_estimate(optimistic, most_likely, pessimistic):
"""
PERT formula: (O + 4M + P) / 6
Weighted toward most likely estimate
"""
pert = (optimistic + 4 * most_likely + pessimistic) / 6
return round(pert, 2)
@staticmethod
def calculate_standard_deviation(optimistic, pessimistic):
"""Standard deviation for risk analysis"""
sigma = (pessimistic - optimistic) / 6
return round(sigma, 2)
@staticmethod
def calculate_confidence_interval(pert_estimate, std_dev, confidence=0.95):
"""
Calculate confidence interval for estimate
95% confidence ≈ ±2 sigma
"""
z_score = 1.96 if confidence == 0.95 else 2.576
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
Guide
Contents
Three-Point Estimation (PERT)
Three-Point Estimation (PERT)
Bottom-Up Estimation
Bottom-Up Estimation
Analogous Estimation
Analogous Estimation
Resource Estimation
Resource Estimation
Estimation Templates
Estimation Templates
Best Practices
✅ DO
Use multiple estimation techniques and compare results
Include contingency buffers (15-25% for new projects)
Base estimates on historical data from similar projects
Break down large efforts into smaller components
Get input from team members doing the actual work
Document assumptions and exclusions clearly
Review and adjust estimates regularly
Track actual vs. estimated metrics for improvement
Include non-development tasks (planning, testing, deployment)
Account for learning curve on unfamiliar technologies
❌ DON'T
Estimate without clear scope definition
Use unrealistic best-case scenarios
Ignore historical project data
Estimate under pressure to hit arbitrary targets
Forget to include non-coding activities
Use estimates as performance metrics for individuals
Change estimates mid-project without clear reason
Estimate without team input
Ignore risks and contingencies
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