← Back to HermitMonster.com
UX CASE STUDY
KORVAULT
Designing an Operational System for Complex Cyber-Physical Environments
Engineering safe, governable, and resilient operations for complex cyber-physical systems spanning factories, energy grids, and critical infrastructure.

  • Role: Lead Systems Designer / UX Architect
  • Scope: Interaction architecture, governance UX, simulation design, navigation model, systems modeling
  • Tools: Figma, systems modeling, human factors engineering
  • Duration: Concept → Architecture → High-fidelity prototype
Problem Context
  • Modern industrial cyber-physical systems exhibit vast operational scale and complexity, encompassing distributed sites, millions of assets, complex regulations, and diverse human operators under high-pressure conditions.
  • Despite this inherent complexity, existing configuration and onboarding tools are functionally outdated, leading to critical operational misconfigurations with severe outcomes including safety incidents, significant financial exposure, and elevated human risk.
  • The core design challenge is to empower human operators to effectively reason about, modify, govern, and restore these complex systems, especially under operational stress.
The Design Challenge
KORVAULT is a powerful platform built for System Integrators. It helps them manage complex industrial operations by:
  • Configuring devices
  • Orchestrating data pipelines
  • Authoring calculation formulas
  • Managing access controls
  • Ensuring compliance
This platform is essential for mission-critical environments, including manufacturing plants, electrical grids, healthcare facilities, and defense infrastructure.
High Stakes Operations
Prevent safety incidents, financial loss, and catastrophic failures.
Continuous Uptime
Ensure 24/7 operation with zero tolerance for unplanned downtime.
Regulatory Scrutiny
Maintain audit trails and ensure data sovereignty and compliance.
Design Philosophy
Eight core principles guide every interaction, visual treatment, and system behavior. These are not merely aspirational values, but operational imperatives that govern system behavior under dynamic conditions.
Externalize Complexity
Make system states and dependencies visible.
Trust Through Explainability
Provide transparent rationale for all actions.
Optimized Incident Response
Reduce cognitive load during critical incidents.
Personas
We designed for five distinct user archetypes, balancing advanced functionality for experts with intuitive safeguards for occasional users, each with unique needs and operational pressures.
System Admin
Manages infrastructure
Data Analyst
Interprets insights
Developer
Builds solutions
Business User
Leverages platform
Support Agent
Assists users
Critical User Needs
Key insights across all user personas highlight core requirements for effective platform engagement.
Reliable Operations
Ensure stability & accuracy.
Seamless Workflows
Integrate tools & processes.
Empowered Teams
Facilitate knowledge sharing.
Scalable Growth
Support expansion & change.
System Overview — KORVAULT
KORVAULT is an object-centric operational OS designed to unify key functions and streamline operations.
Unified Object Management
Treats all entities as versioned, governable objects with full dependency tracking.
Digital Twin Simulation
Simulate entire system topologies and validate accuracy with real-world data.
Embedded Governance
Real-time dependency navigation and comprehensive audit trail generation.
FinOps Optimization
Provides clear cost visibility and actionable optimization guidance.
Safe Testing & Validation
Our lab provides a secure environment for rigorous experimentation and validation, merging simulation and chaos engineering principles.
Risk-Free Experimentation
Replicate production digital twins into isolated sandboxes for controlled testing.
Resilience & Reliability
Inject variables and faults to rigorously test system behavior and robustness.
Validated Deployment
Ensure representative system behavior and predictable outcomes before production rollouts.
Incident & Maintenance UX
Reduced Noise Mode
Focus on critical information without distractions.
Relevant Context
Surface only essential data for quick decisions.
Guided Troubleshooting
Step-by-step support based on system state.
Before KORVAULT: Key Pain Points
Fragmented Tools
Crucial functions were scattered across separate systems like configuration management, monitoring, and governance. This led to cognitive overhead and increased errors due to constant context switching.
Knowledge Silos
Key system information resided mainly with senior engineers, resulting in steep learning curves for new team members and operational risks from knowledge loss during personnel transitions.
Inefficient Incident Response
Operators contended with alert fatigue from numerous non-actionable notifications and reliance on multiple disparate tools to identify root causes. Mean time to resolution was measured in hours.
Key Improvements After KORVAULT
Unified Platform
A single system of record for configuration, operations, and governance. Significantly reduces cognitive load and context switching across all workflows.
Externalized Knowledge
System topology and operational patterns captured in digital twins. New team members achieve productivity faster, and critical knowledge persists beyond turnover.
Optimized Incident Response
Noise reduction and intuitive incident interfaces minimize cognitive load. Mean time to resolution is cut in half through improved diagnostics and guided remediation.
What This Case Study Demonstrates
KORVAULT synthesizes several critical disciplines to address complex operational challenges:
Holistic Systems Thinking
Models complex sociotechnical systems, designing for emergent behaviors across human, machine, and governance interactions.
Human-Centered Design
Focuses on cognitive load, decision-making, and usability to enhance operational safety and reliability.
Safety-Critical UX
Designing for high-consequence environments, we address the real-world impact of errors through formal risk analysis.
AI Trust & Explainability
Facilitating AI adoption with transparency, human control, and an evidence-first approach to automation recommendations.