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Wardley Maps Community Hub Awesome

Wardley Mapping is a technique that helps you examine your environment, identify upcoming changes and properly choose your actions. By examining what is needed, what components will be in use, what are their dependencies and characteristics, you can build a visual representation of your world, play what-if games, and pick your direction and best actions to support it.

This is a list of useful Wardley mapping resources and examples. Short URL: Contributions welcome! Contribution guidelines for adding something to the list.


Quick Start






  • GCATI - Foundation in Wardley Mapping. For those who need to know and understand the basics of Strategy using Wardley Mapping either with a view to becoming a Practitioner or with a need to work effectively with Practitioners. A certified Foundation in using Wardley Mapping candidate has proficiency in reading and understanding Wardley Maps.

Maps in the Wild

Blog posts and other interesting examples of Wardley maps. Ordered by date, newest first.

Research Papers



Doctrine Assessement

  • Doctrine - A simple tool for visualising how competitive a company is in light of Wardley's doctrine. Hosted version available here.

Commercial Enterprise Platforms

Tools & Scripts


  • Learn about Wardley Maps using MEMGPT - Experimental Streamlit AI Assistant bot tuned on Wardley Mapping. Using MemGPT this AI Assistant has memory is divided into three parts: recall memory, core memory, and archival memory. Full source code and data provided in the GitHub repo. Recall Memory: This is my short-term memory where I keep recent interactions. Core Memory: This is where I store key details about my persona and about you, the user. This gives me a 'personality' and allows for more personalized conversation. Archival Memory: This is my long-term memory where I store information that doesn't fit into core memory but is essential to remember. It's infinite in size, and I usually page through it to find answers to your questions. These parts work together to help the AI Assistant remember prior engagements, learn from them, and refer back when needed.
  • Learn about Wardley Maps using Claude - An AI Application using Claude to help learn Wardley Maps
  • Learn about Wardley Maps using OpenAI - Streamlit and OpenAI application to learn Wardley Maps.
  • Learn about Wardley Maps using OpenAI Assistants - OpenAI Assistant application to help learn Wardley Maps.
  • Chat with your Map - Chat to your Wardley Map. It pulls your Wardley Map from OnlineWardleyMaps or GitHub and you can have an AI chat with your map. It's also got a syntax checker built in. It creates structured output that can be downloaded and used within documents. It highlights key responses that you can follow up.
  • Q&A with Simon's Book - Have a chat with the book Ask Simon's book anything.
  • Research Map Chat - Have an AI chat with Simon's Research Wardley Maps that are available on GitHub.
  • Learn Wardley Mapping Bot - Learn Wardley Mapping by chatting to a specially configured bot.
  • Chat with Wardley YouTube content - Have a chat with all of Simon's YouTube content.





Doctrine Assessement






To the extent possible under law, the Wardley Maps Community has waived all copyright and related or neighboring rights to this work.