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Capacity Planning
Table of Contents
Overview
When to Use
Quick Start
Reference Guides
Best Practices
Overview
Capacity planning ensures teams have sufficient resources to deliver work at sustainable pace, prevents burnout, and enables accurate commitment to stakeholders.
When to Use
Annual or quarterly planning cycles
Allocating people to projects
Adjusting team size
Planning for holidays and absences
Forecasting resource needs
Balancing multiple projects
Identifying bottlenecks
Quick Start
Minimal working example:
# Team capacity calculation and planning
class CapacityPlanner:
# Standard work hours per week
STANDARD_WEEK_HOURS = 40
# Activities that reduce available capacity
OVERHEAD_HOURS = {
'meetings': 5, # standups, 1-on-1s, planning
'training': 2, # learning new tech
'administrative': 2, # emails, approvals
'support': 2, # helping teammates
'contingency': 2 # interruptions, emergencies
}
def __init__(self, team_size, sprint_duration_weeks=2):
self.team_size = team_size
self.sprint_duration_weeks = sprint_duration_weeks
self.members = []
def calculate_team_capacity(self):
"""Calculate available capacity hours"""
# Base capacity
base_hours = self.team_size * self.STANDARD_WEEK_HOURS * self.sprint_duration_weeks
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
Guide
Contents
Capacity Assessment
Capacity Assessment
Capacity Planning Template
Capacity Planning Template
Resource Leveling
Resource Leveling
Capacity Forecasting
Capacity Forecasting
Best Practices
✅ DO
Plan capacity at 85% utilization (15% buffer)
Account for meetings, training, and overhead
Include known absences (vacation, holidays)
Identify skill bottlenecks early
Balance workload fairly across team
Review capacity monthly
Adjust plans based on actual velocity
Cross-train on critical skills
Communicate realistic commitments to stakeholders
Build contingency for emergencies
❌ DON'T
Plan at 100% utilization
Ignore meetings and overhead
Assign work without checking skills
Create overload with continuous surprises
Forget about learning/training time
Leave capacity planning to last minute
Overcommit team consistently
Burn out key people
Ignore team feedback on workload
Plan without considering absences
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