Dashboard Intelligent software delivery planning
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Dynamic Resource Intelligence

Resource & Capacity Planner

Translate SprintIQ Platform into effective engineering capacity, delivery focus, phase allocation, and workload intelligence.

Team capacity 6 engineers 12 week horizon
Gross capacity 2,880h Before delivery focus adjustment
Effective capacity 2,160h Usable engineering delivery time
Focus factor 75% Complexity-adjusted focus
Capacity buffer 720h Non-effective / protected time
Capacity intelligence

Engineering operating envelope

Moderate capacity risk
Effective utilization 75.0%
Working days 60
Hours / engineer 360.0h
Hours / day 8
Days / week 5
Delivery pressure

Capacity risk signals

39 Moderate overall delivery risk
Timeline pressure Moderate
Capacity pressure Moderate
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 50.0%

Architecture & Planning

Focused senior technical capacity

Engineers
Primary focus
03 50.0%

UX/UI & Technical Design

Focused senior technical capacity

Engineers
Primary focus
04 100.0%

Development

Peak implementation capacity

Engineers
Primary focus
05 66.67%

Integration & QA

Validation and defect resolution

Engineers
Primary focus
06 66.67%

UAT

Validation and defect resolution

Engineers
Primary focus
07 50.0%

Deployment

Controlled release support

Engineers
Primary focus
08 33.33%

Hypercare

Post-release stabilization

Engineers
Primary focus