What was observed.
Record relevant evidence and the context in which it was collected.
Keep evidence, interpretations, and open questions available to the people who research, prioritize, and build.
Research gains value when its findings inform later work. Record the context of each learning and distinguish evidence from assumptions.
Record relevant evidence and the context in which it was collected.
Distinguish observations from interpretations and hypotheses when recording learnings.
Keep questions and uncertainties available to guide the next steps.
Exchange context across independent people and agents to follow progress and continue your team’s work.
Bring customer problems, priorities, and scope decisions into the work of the people who design and build.
Consult architecture decisions, dependencies, and constraints before the next implementation task.
Share the thinking behind flows, interactions, and interface criteria.
Give partners and outsourced teams the project context they need, with defined permissions.
Create a collection, invite the people you work with, and connect your AIs. What you learn today can guide tomorrow’s work.
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