Event Modeling

Produces a single visual blueprint of an entire system — one timeline read left-to-right that developers, designers, and stakeholders all share.

2 Core Ideas

1. Events on a timeline — The system is a sequence of business facts persisted over time. Events are the source of truth.
2. State for UIs — Users see views (screens, reports) built from events, not events directly.

4 Building Blocks

Block	Color	What it is
Trigger	White	What starts a use case: UI wireframe, HTTP endpoint, or robot. Start simple — a named white box is enough
Command	Blue	An intention to change state, with parameters
Event	Orange	A business fact persisted. Past tense, business language, realistic data. Most important piece
View	Green	A read-only query that curates event data for a UI, report, or automated process

Not in the blueprint: Aggregates, entity diagrams, database schemas — those are implementation details.

Slicing

A slice = the smallest implementable unit. Each pattern instance is one slice:

• One Command + its Events = 1 slice
• One View = 1 slice
• One Automation or Translation = 1 slice

4 Patterns

Internal

Command — User changes something: Trigger → Command (blue) → Event(s) (orange) Multiple roles can trigger the same command (e.g., Role 1 via UI, Role 2 via API).

Section	Include
Trigger	✅ UI wireframe or API endpoint
Command	✅ with parameters
Event(s)	✅ produced by the command
View	—

View — User sees something: Event(s) (orange) → View (green) → Trigger Views are passive — they read and curate events, never reject them.

Section	Include
Trigger	✅ UI or API response
View	✅ with source events and fields
Command	—
Event(s)	— (listed as View sources)

External Communication

Automation — System reacts (we reach out): Event(s) → Todo-list View → 🤖 Robot → Command → Event(s)

The todo-list is a view that shows unprocessed items. A row appears when Event A exists without Event B for the same ID (e.g., "PaymentAuthorized where PaymentCaptured missing"). The robot reads each row, calls one command. The produced event (Event B) causes the row to disappear — guaranteeing each item is processed exactly once. No business logic in the robot — it just reads and calls.

Section	Include
Trigger	— (robot is the actor)
Todo-list view	✅ what populates it, what removes a row
Robot	✅ named (e.g., "Payment Capturer")
Command	✅ called by the robot
Event(s)	✅ produced, removes the row

Translation — External system notifies us: Event(s) [source] → View → 🤖 Translator → Command → Event(s) [ours] Same structure as Automation but crosses system boundaries: an external system's events are the source. Read side: one source system only. Write side: can publish to multiple via Pub/Sub.

Section	Include
Same as Automation, plus:
External source	✅ which system and event type

Key distinction: Automation = we reach out. Translation = they notify us.

Example Translation: Stripe emits payment_intent.succeeded → Todo view "UnprocessedStripePayments" → 🤖 Stripe Translator → RecordPayment → PaymentRecorded in our domain.

Swim Lanes

A swim lane is a horizontal row on the board representing a domain (e.g., Booking, Payment, Inventory). Events sit on their domain's lane.

During the workshop, lanes evolve:

• Step 3: Start with lanes per user role (Guest, Admin, Front Desk)
• Step 5–6: Reorganize by domain/bounded context. Assign team ownership per lane

A lane can have sub-domains (e.g., "Loyalty" within "Guest") — note these in the Swim Lane Ownership table.

7-Step Workshop

Step	Action
1. Brainstorm	List all state-changing events. Filter out observations ("Guest viewed page" is NOT an event)
2. Plot	Arrange events left-to-right in chronological order of a typical user journey
3. Storyboard	Add wireframes at top. What does each role see at each moment?
4. Identify Inputs	For each wireframe action, add a Command (blue) connecting the trigger to the produced Event(s)
5. Identify Outputs	For each screen that displays data, add a View (green) connecting source Events to the trigger
6. Conway's Law	Reorganize lanes by domain/bounded context. Assign team ownership
7. Specifications	Write Given-When-Then for every slice (see below)

Specifications (Step 7)

Every slice gets a specification — the contract for implementation. Use realistic data, never placeholders.

Command: Given (prior events = preconditions) → When (command) → Then (produced event) View: Given (accumulated events) → Then (query result) Automation: Given (todo list rows) → When (robot calls command) → Then (event produced, row removed)

Failure cases: When a command's preconditions aren't met (Given events don't exist), the command is rejected. Failure events (e.g., PaymentDeclined) are optional — model them as separate Command slices only if the system needs to react to the failure.

Completeness Check

After modeling, verify:

• Every UI field traces to an event (origin) or view (destination)
• Every command has a Given-When-Then with realistic data
• Every view has a Given-Then specification
• Every automation has a named todo-list view, a named robot, and a produced command
• No orphan events (events nothing reads)

Output

Generate the event model document using references/output-template.md. The document includes a reader preamble so stakeholders unfamiliar with Event Modeling can understand the notation.

Reference

Reference	Load When
references/output-template.md	Generating an event model document — template with reader preamble, per-pattern section guide, and slice format
references/event-model-example.md	Full Hotel Booking example — 18 slices across 5 swim lanes with completeness check

Common Mistakes

Mistake	Fix
Including observations as events	Only persist facts that mutate state
Skipping wireframes — jumping to events	Always start from UI (Step 3 before Step 4)
Using DDD aggregates or entity diagrams	Event Modeling uses swim lanes by domain, not aggregates
Business logic in the automation robot	Robot reads todo and calls command. Logic lives in handler
Views that validate or reject	Views are passive — they only read and curate
Missing specifications with realistic data	Every slice needs Given-When-Then with concrete values
Automation vs Translation confusion	Automation = we reach out; Translation = they notify us
Trigger section on Automation slices	Automations have no user trigger — the robot is the actor. Omit the Trigger section
Todo-list view missing population/removal logic	Always write "Feeds from: Event A where Event B missing for same ID" — name both events explicitly

External References

• https://eventmodeling.org/posts/what-is-event-modeling/
• https://eventmodeling.org/posts/event-modeling-cheatsheet/