Dashboard Intelligent software delivery planning
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Dynamic Resource Intelligence

Resource & Capacity Planner

Translate Customer Experience Portal into effective engineering capacity, delivery focus, phase allocation, and workload intelligence.

Team capacity 8 engineers 14 week horizon
Gross capacity 4,480h Before delivery focus adjustment
Effective capacity 3,046h Usable engineering delivery time
Focus factor 68% Complexity-adjusted focus
Capacity buffer 1,434h Non-effective / protected time
Capacity intelligence

Engineering operating envelope

High capacity risk
Effective utilization 68.0%
Working days 70
Hours / engineer 380.8h
Hours / day 8
Days / week 5
Delivery pressure

Capacity risk signals

52 Moderate overall delivery risk
Timeline pressure Low
Capacity pressure High
Phase allocation

Resource deployment map

Dynamic allocation generated from project complexity, team size, and the SDLC lifecycle.

8 lifecycle allocations
01 50.0%

Discovery & Requirements

Core discovery and analysis team

Engineers
Primary focus
02 62.5%

Architecture

Focused senior technical capacity

Engineers
Primary focus
03 62.5%

UX/UI & Detailed Design

Focused senior technical capacity

Engineers
Primary focus
04 100.0%

Iterative Development

Peak implementation capacity

Engineers
Primary focus
05 75.0%

Integration & QA

Validation and defect resolution

Engineers
Primary focus
06 75.0%

UAT

Validation and defect resolution

Engineers
Primary focus
07 50.0%

Deployment

Controlled release support

Engineers
Primary focus
08 50.0%

Hypercare

Post-release stabilization

Engineers
Primary focus