XRCore Assessment is an enterprise-ready evaluation runtime for Unity XR built on top of XRCore SDK and XRCore Training Toolkit.
The package transforms guided XR training workflows into measurable competency assessments through configurable scoring systems, pass/fail evaluation, critical failure handling, runtime diagnostics, and exportable performance reports.
Where XRCore Training Toolkit focuses on scenario execution and guided workflows, XRCore Assessment adds the evaluation layer required for industrial training validation, operational readiness checks, certification-style workflows, and measurable XR learning outcomes.
Developers can define configurable assessment profiles with weighted scoring, penalties, mandatory steps, consecutive failure limits, and time-based evaluation rules without rewriting runtime interaction logic.
XRCore Assessment includes:
• Real-time XR assessment runner
• Weighted scoring and penalty systems
• Pass/fail evaluation workflows
• Critical failure and mistake tracking
• Runtime score monitoring and assessment events
• JSON and CSV assessment report export
• Runtime diagnostics and health monitoring
• Guided and Assessment-only demo modes
• Assessment profile validation and preset workflows
• Setup Wizard for validation, auto-fix, and profile generation
The package supports modular XR evaluation workflows including:
• Scenario-based competency validation
• Procedural assessment flows
• Certification-style pass/fail logic
• Time-limited operational tasks
• Critical interaction validation
• Replay and fail-case testing workflows
XRCore Assessment is designed for:
• Industrial XR training validation
• Operational readiness assessment
• Procedural certification workflows
• Safety and compliance simulations
• Measurable onboarding systems
• XR competency evaluation pipelines
The architecture is event-driven, modular, and compatible with Built-in, URP, and HDRP. The package supports Unity XR projects using OpenXR and XR Interaction Toolkit.
XRCore Assessment requires XRCore SDK and XRCore Training Toolkit and is designed as part of the XRCore ecosystem alongside future modules for authoring, contextual XR memory, voice guidance, and advanced Spatial AI workflows.