The method helps clarify the domain, language, and system boundaries concretely. It translates domain knowledge into events, terms, rules, or boundaries. The result is captured as an event timeline, ubiquitous language, and boundaries.
EventStorming
Turns domain knowledge, language, and system boundaries into a tangible result by selecting a business flow, collecting domain events chronologically, and deriving models and follow-up questions.
Which business events, triggers, and boundaries shape the flow, and where do friction, risk, or learning needs arise?
The team follows the steps: select business flow, collect domain events chronologically, add commands, actors, and policies, mark pain points and boundaries, and derive models and follow-up questions. Each step is captured visibly. At the end, an event timeline, ubiquitous language, and boundaries are available so decisions, tests, or actions can follow directly.
Visual orientation
Method sketch for a quick mental model.
Flow
- 1Select business flow
- 2Collect domain events chronologically
- 3Add commands, actors, and policies
- 4Mark pain points and boundaries
- 5Derive models and follow-up questions
The runsheet guides execution with 5 phases, timeboxes, 5 pitfalls, and clear stop criteria.
Open runsheetIdeal for
- Complex domains
- Cross-functional discovery
- Event-driven systems
Not good for
- Trivial CRUD processes
- Solo documentation
- Low-level code design
Deep dive
EventStorming follows a clear working logic: select business flow, collect domain events chronologically, add commands, actors, and policies, mark pain points and boundaries, and derive models and follow-up questions. This turns the method into a visible thinking process rather than only a conversation. Participants move step by step from raw material, observations, or options toward a shared structure. The result is an event timeline, ubiquitous language, and boundaries that make decisions, learning, or further planning actionable.
Prepare a clear guiding question, the right information, and a visible workspace. Plan about 2-8 h with 5-12 people and use the format in a facilitated workshop. The facilitation needs noticeable structure and preparation; short timeboxes, visible intermediate results, and a parking lot for open questions help.
Event Storming Working TemplateCompact working template for Event Storming with context, input, output artifacts, and next step.markdown
event-storming-working-template.md
Compact working template for Event Storming with context, input, output artifacts, and next step.
Event Storming Working Template
Goal
Rapid, visual domain exploration through Business Events, Commands, Policies, and Actors on a timeline.
Context
When and for what do we use this method?
Input
Which data, observations, decisions, or materials are available?
Execution
Short notes along the runsheet.
Output artifacts
- Event timeline:
- Ubiquitous language:
- Boundaries:
- Open questions:
Assumptions and open questions
- ...
Decision / next step
Owner, date, and success signal.
When to choose differently
Short decision aid for existing alternatives.
Statt EventStorming, wenn du mit konkreten Beispielen Fälle, Regeln und Ausnahmen schneller klären willst.
Statt EventStorming, wenn du Abläufe entlang von Nutzerzielen und Liefer-Schnitten strukturieren willst.
Similar methods
All methodsTurns domain knowledge, language, and system boundaries into a tangible result by listing contexts, drawing relationships, and clarifying dependencies and conflicts.
Turns domain knowledge, language, and system boundaries into a tangible result by collecting domains or contexts, marking boundaries and owners, and deriving next modeling questions.
Turns domain knowledge, language, and system boundaries into a tangible result by naming the context, formulating its purpose, and noting ownership and risks.
Turns terms, relationships, and rules into a tangible result by selecting a scenario, sketching events, and deriving implementation slices.
Turns terms, relationships, and rules into a tangible result by choosing a concrete story, identifying actors and work objects, and extracting language and rules.
Concrete domain questions define what an ontology or knowledge model must be able to answer and test.