A curated collection of resources for EventStorming, a collaborative workshop method for domain discovery and software design.
Awesome EventStorming is a curated GitHub repository that aggregates resources, tools, and community links related to the EventStorming methodology. It helps software teams and domain practitioners learn and apply EventStorming—a collaborative, workshop-based technique for exploring complex business domains and designing software systems visually using sticky notes or digital boards.
Software developers, architects, product managers, and domain experts involved in domain-driven design, legacy modernization, or complex system modeling who seek a practical, collaborative approach to understanding business processes.
It provides a single, community-maintained source of high-quality EventStorming materials—from foundational texts to remote facilitation tools—saving practitioners time and helping them avoid fragmented searches across the internet.
Awesome EventStorming
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Aggregates books, articles, videos, and slides from leading experts like Alberto Brandolini and Mathias Verraes, saving practitioners time on fragmented research.
Includes a dedicated section with tools like prooph board and templates for online sessions, addressing the needs of distributed teams as highlighted in the README.
Provides timelapse GIFs of Big Picture sessions and an extended notation guide, offering concrete visuals to help users understand and apply the methodology.
Lists Twitter accounts of key practitioners, online groups, and meetups, facilitating networking and ongoing learning from real-world experiences.
The vast, unstructured collection of resources lacks a guided learning path, which can confuse those new to EventStorming without prior context.
As a static repository, it doesn't offer hands-on exercises or interactive tutorials, requiring users to seek external practice to gain proficiency.
While it mentions tools like prooph board, it provides minimal comparative analysis or deep reviews, leaving users to independently assess suitability.