Business context usually arrives as fragments: conversations, documents, examples, frustrations, policies, spreadsheets, and exceptions that experienced people simply know. Myte converts those fragments into a custom operating model by progressively making the implied structure explicit and reviewable.
Begin with pressure, not features
The useful starting point is a recurring pressure: a handoff that fails, a decision that stalls, a record nobody trusts, or an outcome that costs too much. This anchors discovery in observable work instead of speculative functionality.
From there, Myte identifies the people involved, the current trigger, the information available, and the consequences of delay or error. These are the first boundaries of the model.
Collect parameters and rules
Parameters describe the facts that can vary: client type, jurisdiction, value, risk, capacity, deadline, or product. Rules explain how those facts change the path. Constraints describe what the model may never violate, from contractual terms to data residency and human approval.
Examples are essential. A normal case reveals the expected flow; a difficult case reveals hidden judgment. Comparing both helps distinguish a genuine rule from a habit that happened to work once.
Turn conversation into structure
The emerging model names actors, records, states, transitions, decisions, permissions, notifications, integrations, exceptions, outputs, and evidence. Each element can be reviewed in plain language before it becomes software.
Suppose the request is “improve onboarding.” The model might define a signed agreement as the trigger, required identity and service data, risk checks, owner assignment, provisioning dependencies, client approvals, escalation timers, and completion evidence. Ambition becomes testable behavior.
Validate and own the result
The people closest to the work validate the model against real scenarios. Decision owners confirm authority. Builders confirm feasibility. Acceptance cases prove that the interpretation is shared. The client receives an asset that can guide implementation, training, governance, and later change.
Model conversion exercise
Use this exercise with a real workflow and the people accountable for its outcome. Record disagreements as modeling questions instead of silently choosing an answer.
Record a twenty-minute conversation about a frustrating workflow. Extract nouns as candidate actors and records, verbs as actions, conditional phrases as rules, and warnings as constraints. Add the examples the speaker uses to justify decisions. Arrange the result from trigger to outcome, then label every uncertain assumption. In a review session, resolve those assumptions with the people who hold authority. The output is no longer merely a transcript: it is a structured model draft with traceable source context, explicit rules, and identified decisions ready for validation.