Clarify the real problem
What decision, behavior, workflow, support need, or performance gap does this actually involve?
How this layer works
Field Guides give you the thinking behind the build.
Reach for a Field Guide when you need a practical method, a sharper diagnostic, or a better way to frame the work — before you choose a tool, build a course, or pitch a recommendation.
See the system
What context, friction, practice, feedback, tools, and constraints shape the outcome?
Make the work actionable
What should be built, changed, supported, measured, or tested next?
Featured method
Course request → stronger recommendation.
The Course-to-System method helps you slow down the “we need a course” moment. The goal isn’t to reject training — it’s to recommend the right mix of practice, support, feedback, workflow, and evidence. Step through the four moves.
Guide library
Practical guides you can use right now.
Start with the guides that make the most common learning-design conversations clearer: feedback, accessibility, systems thinking, and credible evidence.
Guide 01
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Learning Feedback Audit
A practical diagnostic for spotting feedback that grades instead of coaches, then improving it so learners understand why a decision worked, what they missed, and what to try next.
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Guide 02
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Accessibility + Visual QA Field Guide
A checklist-style guide for reviewing color, contrast, labels, state changes, motion, visual meaning, and interaction cues before you ship.
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Guide 03
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Learning Systems Field Guide
A practical guide for looking beyond the course and mapping the people, tools, workflows, supports, risks, and success signals around learning.
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Guide 04
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Evaluation + Evidence Field Guide
A practical guide for turning evaluation into a design tool, mapping reaction, learning, behavior, outcomes, and credible evidence before launch.
Open guideGuide categories
Where the guides help you decide.
Feedback + Coaching
Improve how feedback redirects, explains, reinforces, and builds judgment.
Learning Systems
Map the supports, workflows, tools, and conditions around learning.
Scenario + Judgment Design
Design practice that reflects real decisions, tradeoffs, and ambiguity.
Accessibility + Visual QA
Review contrast, states, labels, interaction cues, motion, and meaning.
AI-Assisted Workflows
Use AI to accelerate the work without outsourcing the thinking.
Designer Enablement
Give teams stronger review habits, reusable methods, and clearer standards.
Evaluation + Evidence
Connect learning work to behavior, signals, outcomes, and measurement.
Need a starting point?
Not sure which guide fits the work?
Describe the course request, stakeholder ask, or design problem — and get pointed toward the right Field Guide, toolkit, or Design Lab tool.