Discovery planning
Connect the decision, assumptions, interview questions, evidence thresholds, and next experiments.
Structure discovery questions, customer evidence, launch plans, decisions, and risks on an editable canvas.
Use a map while relationships, alternatives, and missing information still need to be examined. Move stable commitments into the system that will track ongoing work.
Connect the decision, assumptions, interview questions, evidence thresholds, and next experiments.
Compare customer value, business impact, feasibility, risk, and missing evidence without hiding tradeoffs.
Review positioning, dependencies, rollout, support, measurement, and rollback signals in one view.
Keep the first draft practical, then edit the hierarchy so it reflects your own evidence and priorities.
Keep the first draft practical, then edit the hierarchy so it reflects your own evidence and priorities.
Keep the first draft practical, then edit the hierarchy so it reflects your own evidence and priorities.
Keep the first draft practical, then edit the hierarchy so it reflects your own evidence and priorities.
AI can arrange a plausible structure without knowing whether a claim is true or a commitment is real. The review step is part of the workflow.
Keep the source material nearby and remove sensitive information before placing it in any AI prompt.
Plan customer interviews around assumptions, questions, evidence, follow-ups, and synthesis.
Turn a product idea into an editable launch plan covering validation, positioning, channels, execution, and measurement.
Compare options, constraints, evidence, risks, and tradeoffs before making an important decision.
Direct answers about where an AI-generated map helps and where human review remains necessary.
It is useful before and after research: first to expose assumptions and plan questions, then to connect evidence to themes and decisions. Store raw research and consented quotations in the appropriate research repository.
No. A map helps examine relationships and tradeoffs. A roadmap communicates selected outcomes, sequencing, ownership, and change over time after decisions have been made.
Ask which branches are evidence, assumptions, options, decisions, and actions. Correct unsupported claims, add missing constraints, and record the owner of each follow-up outside the map when ongoing tracking is required.
Open a prepared prompt, replace its specifics with your own, and edit the result before you share or export it.