Independent systems engineering practice · Sydney
Functional Directions applies Capability Risk Analysis: a model-based method that starts with how a capability will actually be operated, and traces a defensible line from the risks in that operation to the controls the capability needs and the requirements that follow from them.
Capability architecture
Holding the three domains and the analysis model together gives a lifecycle perspective rather than a project one. Requirements reach the implementation with their reasons attached, so the design is built to the need rather than to an assumption about it, and the quality of what is delivered rises.
When the operation, the design or the organisation changes, the model shows what else is affected, which is the substance of change management. And because the reasoning is kept rather than rediscovered at each review, upgrade and re-certification, the cost of owning the capability over its life falls — and that is where most of the cost of a long-lived capability is incurred.
The investment is made early, in the activities that shape the capability before anything is built. The return is harvested for as long as the capability is in service.
The derivation
Select a stage
The system mitigations become part of the operational model, and the derivation runs again on the refined operation. Each pass leaves the model, the requirements and the reasoning between them in step.
How the capability will actually be operated: its activities, the information that moves between them, the decisions taken, and what it delivers at its boundary. The kinds of risk that apply — safety, fitness for purpose, security, human performance — and the opportunities open to the operation are settled here too. The analysis works on this, not on a design.
Capability Risk Analysis derives a top-down requirement set. Taken together, those requirements form a requirements-based argument for the mitigation of risk: one that can be put to stakeholders and regulatory authorities, and defended line by line.
See the derivation applied: a stopped vehicle becomes a fire →
The work
A model of how the capability is used — activities, the information that moves between them, and the decisions taken. It describes the operation rather than any particular implementation of it, and it is refined as the controls the analysis identifies are added.
Risk scenarios — and the opportunities the operation could take — drawn from that model and from domain expertise, each with a stated scope, so a reviewer can see what was considered and what was not.
Controls placed where they belong — in the system, or in the operating procedures — and the derived requirements traced back to the risk they address. When the design or the concept of operations changes, the affected capability elements and their requirements are identifiable rather than needing to be rediscovered.
Given the level of risk the owner is prepared to accept, the risk reduction each control must deliver is derived rather than assumed. That turns a risk matrix from a scoring device into a source of requirements.
Redundancy obligations derived per subsystem from what the capability has to keep delivering, rather than applied uniformly from a tier or class standard. That stops availability targets being met by duplicating the wrong thing.
The result is a set of requirements with their reasoning attached — not a register of scores — that can be put in front of an assurance authority, a certifier or a customer and defended line by line.
Where it applies
Tooling
The method is supported by a purpose-built modelling tool. It holds the operational model, the risk analysis and the derived requirements together, and generates the requirement set directly from the diagrams rather than from a separate spreadsheet.
It reads models exported from established MBSE platforms and is designed to sit alongside them, not replace them — the same way a specialised safety tool coexists with a general systems engineering environment. Demonstration on request.
Practice lead
Capability architect. Thirty-five years in IT and system development across defence, civil infrastructure and intelligent transport, following fifteen years in system maintenance — which is where the interest in how capabilities actually fail began.
Capability Risk Analysis was formalised through doctoral research at the University of Queensland, completed in 2022, building on an earlier commercial research programme into transferable safety assessment. A textbook on the method is in preparation.
Enquiries
Most useful first conversation: what the capability is for, what it would mean for it to fail, and who has to be convinced that it won't.