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November 15, 20255 min readCapacity

Capacity Planning at Scale: Preventing Team Overallocation

JR
James Rodriguez
Director of Customer Success, Llewellyn Systems

Key Takeaways

  • OKReal-time visibility into team workloads across all projects
  • OKPredictive alerts before overallocation occurs
  • OKSkills-based resource matching
  • OK30% reduction in resource-related project delays
  • OKIntegration with existing PM and time tracking tools

Team burnout isn't just a wellness issue — it's a business risk. When key contributors are overallocated, quality suffers, deadlines slip, and turnover increases. Yet most organizations lack visibility into actual team capacity until problems emerge.

The Visibility Problem

Traditional resource management relies on project managers manually tracking allocations in spreadsheets. This approach fails for three reasons: data is always stale, cross-project conflicts are invisible, and actual work rarely matches planned work.

Real-Time Capacity Intelligence

ODE's Capacity module provides real-time visibility into team workloads across all projects and initiatives. By integrating with your project management, time tracking, and calendar systems, ODE builds an accurate picture of how time is actually being spent — not just how it was planned.

Predictive Overallocation Alerts

Our AI doesn't just show current state — it predicts future conflicts. When a new project is proposed, ODE immediately identifies which team members would be overallocated and suggests alternatives. Before commitments are made, leaders have the information they need to make realistic plans.

Skills-Based Optimization

Capacity isn't just about hours — it's about capabilities. ODE maintains a skills inventory that enables intelligent resource matching. When a project needs a specific expertise, the system identifies available team members with the right skills, considering both capacity and capability.

The Business Impact

Organizations using ODE's Capacity module report: 30% reduction in project delays due to resource conflicts, 25% improvement in team satisfaction scores, 40% faster resource allocation decisions, and significant reduction in contractor spend by optimizing internal resources.

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