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Event storming

EventStorming is a collaborative technique invented by Alberto Brandolini in 2013 for visually exploring and modeling complex business domains, often in the context of (). The method employs colored placed on a large surface, such as a paper roll, to represent key elements like domain events (orange notes), intentions or commands (blue notes), aggregates or entities (yellow notes), and external systems or policies (other colors), enabling participants from diverse backgrounds to collectively map business processes and identify requirements without relying on traditional documentation. EventStorming facilitates rapid learning and alignment among stakeholders by promoting question-driven discussions and iterative refinement, helping to uncover impediments, bounded contexts, and opportunities for improvement in business operations or . It comes in several flavors, including Big Picture for high-level strategic overviews, for detailed workflow analysis, and Level for software-specific modeling, making it adaptable for startups, established enterprises, and event-driven system . Widely adopted in agile and communities, EventStorming has contributed to the collaborative modeling movement by emphasizing deliberate collective learning over individual expertise, resulting in more maintainable systems and better team interactions.

Introduction

Definition and Purpose

Event Storming is a workshop-based method invented by Alberto Brandolini around 2013 for collaboratively modeling complex business domains using visual, low-tech tools such as a long paper roll as a and colored to represent elements like domain events. This technique emphasizes event-driven storytelling to map out business processes without relying on traditional documentation-heavy approaches. The primary purpose of Event Storming is to facilitate shared understanding among domain experts, developers, and stakeholders by enabling cross-functional teams to explore and visualize domain dynamics in a collaborative setting. It accelerates requirements gathering by identifying key domain events, processes, and pain points through interactive discussions, thereby reducing misunderstandings and promoting adaptive collaboration across silos. Core objectives include uncovering hidden assumptions in , aligning teams on a ubiquitous language for consistent communication, and supporting agile discovery within () contexts to design robust, maintainable systems. By focusing on domain intricacies and perspectives, it helps assess health, highlight improvement areas, and resolve conflicts early in . Event Storming demonstrates flexibility across scales, adaptable from high-level overviews of entire business landscapes to detailed modeling of specific processes or software components, making it suitable for various formats tailored to different needs.

History and Origins

Event Storming was introduced by Italian software architect Alberto Brandolini in 2013 through a seminal blog post and subsequent presentations, emerging as a practical response to the frustrations of conventional domain modeling that were typically time-consuming, expensive, and unproductive in eliciting valuable insights from domain experts. The technique builds on foundational ideas from (DDD), as outlined by Evans in his 2003 book, and Event Sourcing, a for capturing application state changes as immutable event sequences first articulated by Fowler in 2005. Brandolini developed Event Storming to facilitate rapid, collaborative exploration of complex domains in an event-driven manner, aligning with DDD's emphasis on modeling shared understanding between technical and business stakeholders. Key milestones in its development include Brandolini's first public demonstrations at Domain-Driven Design community events in 2013, which helped disseminate the method beyond initial experiments. The publication of his book Introducing EventStorming in 2016 formalized the approach, providing detailed guidance on its application and solidifying its place in software engineering literature. Adaptations for remote facilitation emerged amid the COVID-19 pandemic in 2020, enabling virtual workshops via digital tools and broadening accessibility during global lockdowns. Over time, Event Storming evolved from its origins in high-level to encompass specialized "flavors" for , influenced by agile methodologies and principles that prioritize iterative discovery and waste reduction. By 2025, it has integrated with collaborative platforms like , which offers dedicated templates for virtual sessions, and tools such as Context Mapper, which supports modeling Event Storming outputs into bounded contexts for architectures. Adoption has grown widely in enterprise settings, with organizations like incorporating it into methodologies for exploring business domains and leveraging it for monolith decomposition into . Community resources, including the dedicated website eventstorming.com launched around , have further supported its proliferation through tutorials, starter kits, and global meetups.

Core Concepts

Key Elements

Domain events form the foundational backbone of Event Storming workshops, representing significant, observable changes in the business domain phrased as past-tense statements, such as "Order Placed" or "Payment Processed." These events capture facts that have occurred, serving as chronological anchors to model the system's behavior without delving into implementation details. Typically denoted with orange sticky notes, domain events are arranged horizontally to establish a timeline, enabling participants to visualize the sequence of business occurrences and identify patterns or gaps in understanding. Commands and policies complement domain events by elucidating the triggers and reactions within the . Commands, often marked with blue , represent intentional actions or decisions initiated by users or systems, such as "Place Order," which express user intentions without specifying how they are executed. Policies, indicated by green or lilac notes, describe reactive business rules that respond to or commands, for instance, "If payment fails, notify customer," thereby encapsulating logic and ensuring consistency in behavior. Together, these elements map the causal relationships leading to events, highlighting decision points and rule enforcement. Constraints (formerly known as aggregates in EventStorming), typically using yellow , delineate bounded contexts by grouping related domain events, commands, and policies into cohesive units that maintain invariants, such as an "Order Aggregate" encompassing placement, confirmation, and fulfillment. These correspond to aggregates in (). Read models, denoted with purple or green notes, focus on queryable views or projections derived from events, like a "Customer Order History" report, which support external representations without altering the core domain state. These components help partition the domain into manageable, context-specific models, revealing boundaries between subsystems. Pain points and hotspots, along with external systems and actors, capture challenges and interactions in the domain. Pain points and hotspots are marked with red or neon pink , slightly rotated for visibility, to flag risks, uncertainties, or conflicts, such as integration delays or unclear responsibilities, prompting deeper discussion. External systems, represented by pink notes, denote third-party integrations or services outside the primary domain, like a "," while actors—depicted as stick figures on yellow notes—illustrate users, roles, or entities initiating commands, such as "" or " Staff." These annotations enrich the model by surfacing practical impediments and dynamics. The visual timeline in Event Storming organizes all elements into a horizontal flow on a large surface, such as a or board, progressing from left (past) to right (future) with parallel streams for different contexts if needed. This arrangement enforces chronological sequencing, facilitating collaborative refinement and ensuring the model reflects real-world business flow. These key elements adapt across workshop formats like big picture or process-level sessions to suit varying levels of domain exploration.

Relation to Domain-Driven Design

Event Storming aligns closely with (DDD) principles by operationalizing the concept of ubiquitous language through the elicitation of domain events, which serve as the foundation for identifying aggregates, entities, and value objects in the . In this process, participants collaboratively describe past-tense events that capture business occurrences, fostering a shared vocabulary that bridges domain experts and developers, much like 's emphasis on a common language to reduce misunderstandings in complex software systems. This event-centric approach directly supports the modeling of tactical patterns, where events delineate the boundaries and behaviors of core domain elements without requiring initial code implementation. At the strategic level, Event Storming aids in discovering and subdomains by segmenting timelines of events, revealing natural divisions in the business domain that contrast with tactical elements like repositories or services. Through visual mapping on timelines, workshops highlight where language and models remain consistent, enabling teams to define cohesive units for scalable architectures. This segmentation process underscores Event Storming's role in strategic , prioritizing high-level domain partitioning over low-level implementation details. Event Storming builds on event-based modeling to integrate seamlessly with Event Sourcing, where captured domain events represent immutable state changes that inform (CQRS) architectures by separating write models (commands triggering events) from read models (queries on event projections). This synergy allows for event-driven systems that evolve independently, aligning with DDD's focus on expressive models for handling complexity in distributed environments. Unlike traditional , which often begins with code-first modeling and detailed upfront analysis, Event Storming adopts a workshop-oriented, visual that accelerates discovery through rapid iteration and collective input, bypassing exhaustive preliminary . This makes it particularly suited for agile contexts where quick insights into the are needed without deep initial commitments. Within the DDD community, Event Storming has gained endorsement from key figures, including Eric Evans, who has noted its impact as an innovative technique that treats events as fundamental modeling elements, enhancing 's applicability. It is widely adopted in modern DDD practices for designing and event-driven systems, where it facilitates the identification of service boundaries and event flows in polyglot, distributed architectures.

Workshop Formats

Big Picture Event Storming

Big Picture Event Storming is a collaborative format designed to explore and map an entire or at a high level, spanning days or weeks in scope, without delving into technical implementation details. It employs a visual on a large surface to capture significant domain events, fostering strategic alignment among stakeholders by revealing the overall flow and interdependencies within the . This approach emphasizes broad discovery over granular analysis, enabling teams to uncover systemic issues and opportunities through shared . Key activities in Big Picture Event Storming include identifying major domain events—typically noted on orange —along with bounded contexts that delineate functional areas, and external interactions such as partnerships or regulatory influences. Participants engage in chaotic exploration to events freely, followed by organizing them into a chronological sequence to highlight the big-picture flow, including hotspots like pain points or uncertainties. This process prioritizes narrative validation through group walkthroughs, ensuring a cohesive understanding of the domain's dynamics without focusing on operational or code-level specifics. These workshops typically last 1-2 days and involve 5-20 participants from cross-functional roles, such as experts, product owners, and executives, to accommodate the of large . The primary output is a high-level domain map that informs strategic decisions, including defining boundaries for or subsystems based on identified bounded contexts. Big Picture Event Storming is particularly suited for initial discovery phases in large organizations, where aligning diverse teams on strategy is essential, or during modernization efforts to assess existing lines of . It proves effective when the domain scope is vast or unclear, helping to envision new models or validate assumptions collaboratively. Adaptations for remote facilitation have become common, utilizing digital tools like Miro to replicate the unlimited modeling surface and sticky note mechanics for distributed teams, maintaining the workshop's interactive essence despite virtual constraints.

Process-Level Event Storming

Process-Level Event Storming is a workshop format that focuses on modeling a specific business process within a broader domain, such as order fulfillment or customer onboarding, to uncover detailed workflows, decision points, and system integrations. Unlike broader explorations, this level zooms in on a single end-to-end process with a defined start and goal, enabling participants to collaboratively map how events unfold in practice. Developed as part of the Event Storming family by Alberto Brandolini, it emphasizes iterative refinement to reveal inefficiencies and opportunities for improvement. Key activities begin with sequencing domain events along a timeline using orange to represent what happens in , followed by identifying triggers through blue for commands (intentional actions) and purple notes for policies ( rules that respond to events). Participants then highlight pain points and constraints with magenta notes, marking areas of , such as delays or ambiguities, and aggregate related events into hotspots—clusters that indicate or optimization potential. These hotspots are refined through discussion, often involving external systems (pink notes) and read models (green notes) to show how information is viewed or aggregated. fosters shared understanding among domain experts without requiring prior technical knowledge. Sessions typically last 2-4 hours for a focused , though they can extend to a half-day depending on complexity, involving a small group of 4-8 experts selected for their knowledge of the targeted . Outputs include a visual that serves as an artifact for improving , identifying bottlenecks, or informing subsequent work. This format is particularly suited for refining established processes or troubleshooting issues during agile development iterations, where quick validation of changes is needed. A common variation integrates user journey mapping by explicitly incorporating actor perspectives early, using dedicated notes to trace how different users (e.g., customers or staff) interact with the process, thereby aligning with experiential flows. Preparation involves selecting relevant participants, as detailed in general guidelines, to ensure diverse insights without overwhelming the session.

Software Design-Level Event Storming

Software Design-Level Event Storming represents a focused format that transitions from broader business explorations to detailed technical modeling, emphasizing the derivation of software architectures from domain events. This level delves into implementation specifics, such as structuring code around event flows, and is typically conducted after higher-level Event Storming sessions to refine bounded contexts. It aligns closely with tactical elements of (), where domain events guide the identification of core software components like aggregates and services. The primary activities center on clustering domain events to define aggregates—cohesive units of that maintain consistency—and mapping commands to potential endpoints that trigger these events. Workshop participants, often developers and architects, outline read models to support query-side operations, ensuring separation from write-side event handling via patterns like (CQRS). Technical constraints, including in distributed systems or integration with external services, are explicitly addressed through discussions and sticky-note refinements on the event timeline. For instance, in modeling an order processing system, events like "OrderPlaced" might cluster into an Order Aggregate, with a "PlaceOrder" command defining the ingress . These workshops generally span 1-2 days with small, technical teams of 4-8 participants, yielding tangible outputs such as event schema definitions and high-level blueprints that inform actual . The scale is narrower than process-level sessions, targeting specific subdomains or features to avoid overwhelming complexity. This format proves especially valuable for applying tactical in event-driven architectures, where event sourcing and demand precise modeling of interactions, or during refactoring efforts to decompose monoliths into loosely coupled components. It enables teams to validate design assumptions iteratively before coding begins. Since version 6.2.0 (released December 2020) and in subsequent releases up to 6.12.0 (August 2024), Context Mapper supports direct modeling of event and command flows from , facilitating visualization in UML and aiding transitions to in frameworks like .

Conducting Workshops

Preparation and Requirements

Effective preparation for an Event Storming ensures collaborative success by aligning participants, materials, and logistics with the chosen , such as big picture or process-level modeling. Participant selection typically involves 5 to 15 individuals to foster focused discussion without overwhelming the group, including experts, developers, business stakeholders, product owners, and IT architects who bring diverse perspectives on the business . Essential roles include a neutral to guide the session and, optionally, a to document key insights in real-time. Materials required depend on whether the workshop is in-person, remote, or ; physical setups use colored (e.g., orange for domain events, blue for user actions), markers, large wall spaces or paper rolls (8-16 meters recommended), and painter's tape, while digital alternatives employ collaborative tools like or for virtual and boards to support accessibility in remote scenarios. The environment should provide a dedicated, interruption-free space accommodating 4 or more hours per session, with to sustain participant energy; for in-person events, minimize distractions by discouraging open laptops and using standing arrangements to encourage movement and interaction. Remote setups require reliable internet, webcams, headsets, and a pre-session technical check to verify tool access and audio-visual quality. Participants benefit from basic familiarity with concepts, though the workshop itself serves as an introduction. Planning involves defining a clear , such as a single or , to keep the session targeted; establish for inclusive , like focusing on events rather than debates, and allocate 1 to 3 sessions (e.g., 1.5-hour blocks) based on complexity. The facilitator should arrive early to set up materials and prepare a structure with swimlanes. Common pitfalls include inviting too many participants, which dilutes expertise and extends discussions, or excluding key domain experts, leading to incomplete insights; to mitigate, prioritize quality over quantity in selection and confirm attendance from those with direct .

Step-by-Step Process

Event Storming unfolds through a deliberate sequence of collaborative activities that build a shared understanding of the by starting with domain events and progressively layering in contextual elements. This process leverages colored to represent different aspects, fostering visual and tactile engagement among participants. Domain events, as the core building blocks, are past-tense phrases describing significant changes in the business domain, such as "Order Placed" or "Payment Processed." The first step involves timeline creation, where participants brainstorm and place orange representing all possible domain events randomly across a large horizontal surface, such as a paper roll or , to encourage free-flowing ideas without premature structure. This phase, often called chaotic exploration, aims to generate a broad inventory of events by drawing on collective knowledge, typically time-boxed to 20-30 minutes to maintain energy. In the second step, sequencing, the group rearranges the orange notes chronologically from left to right, forming a that reflects the natural flow of the . Discussions resolve ambiguities, such as overlapping or conflicting events, ensuring the sequence tells a logical story; pivotal events may be highlighted with tape to anchor the . The third step focuses on adding triggers, where blue sticky notes denote commands—intentional actions like "Submit Order" that initiate events—and green sticky notes capture policies or business rules, such as "Apply Discount if Eligible," positioned between events to illustrate causal relationships and decision points. This reveals the "why" behind events, often surfacing hidden dependencies. Refinement constitutes the fourth step, involving the addition of yellow for aggregates—cohesive clusters of domain concepts that maintain consistency, like an "Order Aggregate" encompassing related events and commands—and red for pain points, marking bottlenecks, uncertainties, or inefficiencies. External systems or actors may also be noted with distinct colors or symbols; iterations occur as participants probe deeper, grouping elements and clarifying boundaries for enhanced model precision. Validation forms the fifth and final step, in which the group narrates the entire timeline as a cohesive story from an end-user perspective, simulating the process to detect gaps, redundancies, or inconsistencies. Adjustments are made collaboratively, often through multiple walkthroughs, to confirm the model aligns with real-world dynamics and achieves consensus. Effective time management is crucial, with typical workshops allocating 20-30% to brainstorming events, 50% to sequencing and refinement, and 20% to validation and review, adapting to the session's total duration of 4-8 hours based on complexity.

Facilitation Techniques

The in an Event Storming serves as a guide, fostering an inclusive environment where participants from diverse backgrounds—such as experts, developers, and stakeholders—collaborate without the facilitator imposing personal views on the . This role involves encouraging broad participation, managing the workshop's time constraints, and gently steering discussions to maintain focus on business events and processes. By remaining impartial, the facilitator builds , allowing the group to uncover insights organically rather than through directive . Effective techniques include using timers to structure activities, such as allocating 10 minutes for reviewing and refining , which prevents stagnation and promotes momentum. Facilitators can prompt deeper exploration with open-ended questions like "What happens next?" or "Do you receive payments in this scenario?" to elicit events and clarify ambiguities without leading the group. To address dominant voices that might overshadow quieter participants, the facilitator redirects by inviting input from others, such as "What does the operations team think about this?" ensuring balanced contributions. Conflict resolution is handled by framing disagreements as valuable learning opportunities that highlight domain complexities, rather than obstacles, encouraging the group to iterate on the model collaboratively. Techniques like using "hotspots" or sticky notes as parking lots allow off-topic ideas or unresolved debates to be noted and deferred for later , preserving workshop flow; for instance, a 30-minute closing session can revisit these without derailing progress. mechanisms, such as on key events, can democratically prioritize contentious elements when is elusive. To boost engagement, facilitators incorporate short breaks during extended sessions—typically every 60-90 minutes—to combat fatigue, and in physical workshops, encourage movement by having participants stand to place and rearrange on walls, which aids spatial thinking and interaction. For virtual workshops, adaptations include using digital tools like or Lucidspark with breakout rooms to simulate small-group discussions, enabling parallel work on timeline segments before reconvening, thus maintaining energy across remote participants. Advanced tips for scaling include dividing large groups (over 8-10 participants) into sub-teams to tackle specific sections independently, then merging outputs through a facilitated integration phase to avoid bottlenecks. Success is measured post-workshop via participant feedback surveys, assessing aspects like clarity of outcomes and satisfaction with the process, which informs refinements for future sessions.

Outcomes and Applications

Typical Results and Artifacts

Event Storming workshops produce a range of tangible outputs that capture the collaborative exploration of business domains. The primary artifact is the event timeline, a visual map constructed on a large surface using colored sticky notes to represent domain events arranged in chronological order. This timeline illustrates the flow of business processes, incorporating elements such as commands (blue notes), policies (purple notes), and external factors, providing a shared, low-fidelity model of the system's behavior. A key narrative output emerges from reviewing the timeline, where participants "walk" through the events to articulate a story—a coherent, verbal account of the that reinforces collective understanding. Secondary outputs include lists of aggregates, which are clusters of related elements ensuring transactional , and bounded contexts, defining modular boundaries for subsystems with distinct models and . Workshops also generate prioritized lists of points, marked as hotspots on red , alongside opportunities for process improvements derived from resolving these issues. To preserve and extend these results, the physical timeline is typically digitized through photographs or scans of the board, enabling distribution and reference. For further development, outputs can be migrated to digital collaboration tools like templates designed for Event Storming, facilitating remote refinement and iteration. These artifacts immediately support practical applications in , serving as the foundation for authoring user stories, refining agile backlogs, and creating initial architecture sketches that align technical implementation with business needs. Success is evidenced by enhanced team alignment on domain complexities and the surfacing of actionable insights, such as clarified process flows and identified integration points.

Real-World Examples

In an e-commerce order process, Event Storming facilitated the mapping of a timeline featuring key domain events such as "Product Viewed," "Item Added to ," and " Received," which highlighted aggregates responsible for inventory updates and . This exercise uncovered significant integration challenges with legacy payment systems, enabling teams to prioritize efforts for smoother transactions. For healthcare patient onboarding, process-level Event Storming was applied to explore the journey in a biotech firm, identifying events like " Registers," " Scheduled," " Made," and " Administered." The workshop revealed gaps in data flows related to compliance policies, such as incomplete tracking for regulatory reporting, which led to refined workflows that improved adherence and streamlined . In decomposition for a banking application, employed big picture Event Storming to delineate bounded contexts, particularly isolating fraud detection as a distinct with events like "Transaction Initiated" and "Suspicious Activity Flagged." This approach decomposed the into manageable services, fostering better alignment between business and technical teams on core processes. Across these examples, the use of visual aids like colored in workshops accelerated by creating a shared, tangible of domains, as seen in a Tanzu session where a team of developers, business owners, and testers identified over 10 microservice candidates in just five days of focused . For remote teams, adaptations include pre-seeding session structures digitally and employing Mob Modelling with timed rotations to sustain energy and structure, ensuring effective outcomes despite distributed participation.

Benefits and Limitations

Event Storming promotes rapid among diverse stakeholders, fostering a shared understanding of complex business domains through its workshop format. By using simple visual tools like and timelines, it lowers the barrier to entry, enabling non-technical participants to contribute effectively without requiring prior expertise in modeling notations. This approach uncovers efficiently, often identifying key workflows and pain points in 1-2 day sessions that might otherwise emerge slowly through traditional interviews or reviews. The method scales well from small teams to large enterprises, integrating seamlessly with agile and practices to support iterative domain modeling. Post- adaptations have enhanced its remote capabilities, allowing virtual workshops that reduce travel costs and enable broader participation, particularly for and sessions. These adaptations leverage digital tools while maintaining core collaborative benefits, though they work best for teams with some prior in-person experience. Despite these strengths, Event Storming can become chaotic without experienced facilitation, as the free-form exploration may lead to scattered discussions or overlooked details. Its outputs, often captured on physical or digital walls, are ephemeral and risk being lost if not properly documented, potentially requiring additional effort to translate into persistent artifacts like diagrams or code. It is also less effective in highly technical domains where participants lack Domain-Driven Design (DDD) background, as the focus on events may not fully address implementation complexities like performance metrics. To mitigate these limitations, follow-up sessions can refine initial models, while combining Event Storming with complementary methods like (BDD) or BPMN diagrams ensures coverage of special cases and formal validation. Strong facilitation techniques, such as timed phases and expert involvement, help maintain focus and address gaps in tacit knowledge elicitation.

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