Free pack · AI Workflow Map
You map customer journeys all the time. When did you last map your own team’s?
AI has made the way your team works messier.
A free template and facilitator’s guide to map how your team works with AI, find where it breaks, and pick one thing to improve together.
Made by Eugene Chung, a primary designer of the Atlassian Team Playbook.
The problem
Every team has a way of working. Few have ever drawn it.
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Ask five people of the same craft how they do the same thing and you get five different answers.
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When everyone’s process is different, nobody can learn from each other.
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Teams make dozens of small decisions without noticing, and rarely document them.
What’s in the pack
Everything you need to run the session yourself.
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Miro template
MiroA layered map your team uses to visualise its own end-to-end workflow and where AI fits. Work runs left to right as the spine, with people, AI, context and decisions underneath.
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Facilitator’s guide
GuideHow to run the session with your team, step by step, from mapping the work to writing your first experiment cards.
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PDF map
PDFThe same map as a PDF, for printing or running the session offline.
Who it’s for
Built for the people who shape how teams work.
Team leads
A clear starting point for getting your team aligned on how you work with AI.
Design and product managers
A ready-made workshop you can run without designing one from scratch.
Heads of design and product
A way to pilot with two squads and see results before scaling.
How it works
One session. Four moves.
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Step 1Map the work
Lay out the steps your team takes, left to right. This becomes the spine of the map.
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Step 2Layer on people, AI and context
Under each step, add who is involved, where AI is used and what information the work depends on.
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Step 3Surface the decisions and inflection points
Note the decisions made along the way, then mark the moments where people, AI, context and decisions need to sync.
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Step 4Pick one area and run an experiment together
Box one focus area and write experiment cards: what you’ll try, who leads, the timeframe, and how you’ll know it worked.
What you walk away with
A shared map, and one experiment the whole team owns.
Each session ends with experiment cards like this one, ready to start the next week.
- What we’ll try
- Review AI research synthesis together before concepts start, instead of each designer reading it alone.
- Who leads
- Research lead
- Timeframe
- Two sprints
- How we’ll know
- Fewer direction changes raised at critique.
Get the free pack
See how your team works. Then improve one thing together.
- Miro template
- Facilitator’s guide
- PDF map
Eugene Chung, Founder, Delta Work
Former Team Coach Lead at Atlassian and a primary designer of the Atlassian Team Playbook, used by thousands of teams to solve ways-of-working challenges.