Problem definition
The outcome, constraints, assumptions, business impact, and agreed measures of success.
Our problem-solving method
Complex technology problems arrive as symptoms, requested solutions, and competing explanations. The ROZY Logic makes the reasoning visible—from the problem worth solving to the result the evidence supports.
The method
Each stage produces something the next stage can test. The process can move backwards when new evidence changes what is known.
Stage 1
What outcome matters, and what problem are we actually solving?
Separate the reported symptom from assumptions, requested solutions, constraints, business impact, and the conditions that would count as success.
Stage 2
What is actually happening?
Map the system as it behaves, gather evidence, reproduce the behaviour where possible, establish a baseline, and record what remains unknown.
Stage 3
Which explanation or intervention is best supported?
Compare hypotheses, test uncertainty, remove explanations that do not survive the evidence, and isolate the condition or decision that changes the outcome.
Stage 4
Did the intervention produce the intended outcome?
Implement or pilot safely, measure against the baseline, check consequences, transfer the operating knowledge, and revise when the result is incomplete.
ROZY in practice
The visible symptom pointed at the management controller. The decisive variable sat across the system boundary.
A physical server's management controller accepted valid firmware packages into its update queue, but deployment never began. Installing and removing the expected operating-system service did not change the behaviour.
The investigation did not stop at the component displaying the symptom. It followed the execution path until one missing condition explained why a valid queue could remain idle.
Evidence boundaries
Unsupported certainty is not.
A hypothesis is not a finding. A finding is not automatically a solution. A solution is not finished until the intended outcome has been measured.
ROZY keeps those boundaries explicit. It can prove an intervention, disprove an explanation, or show that the evidence is still incomplete. Yield may send the investigation back to Observe; the method is a reasoning loop, not theatre built around a predetermined answer.
The variable may be a cause, boundary, dependency, ownership gap, constraint, missing condition, or chosen intervention. Some problems have several contributing factors rather than one hidden root cause.
What remains after the work
Deliverables vary by engagement, but the reasoning never disappears into a black box.
The outcome, constraints, assumptions, business impact, and agreed measures of success.
Dependencies, boundaries, flows, observations, baselines, and gaps in what is known.
Hypotheses, rejected explanations, options, trade-offs, and the evidence behind the chosen intervention.
Measured outcome, remaining uncertainty, operational guidance, and what should happen next.
Tell us what is happening, what it affects, and what has already been tried. We will start by reframing it.
Bring us the problem