Continuous Discovery

Teresa Torres' continuous discovery: weekly customer touchpoints feed an Opportunity Solution Tree (outcome -> opportunities -> solutions -> assumption tests). A repeating Interview (fan) -> Map opportunities (waist) -> Ideate (fan) -> Test assumptions (waist) loop that keeps a product team anchored to a desired outcome.

When discovery should be an ongoing habit, not a one-off project: you have a product outcome to move and want a steady cadence of small interviews and assumption tests rather than a single big study.

Phasen

01

Interview

Run small, regular customer touchpoints across segment-diverse personas. Ask about real recent behavior and the struggling moments — never pitch a solution. Surface OPPORTUNITIES: unmet needs, pains and desires as they were actually lived.

FormateCouncilsNotesOpen questions
02

Map Opportunities

Cluster what you heard into an Opportunity Solution Tree under ONE target outcome; size and pick the target opportunity to address next. Author payload.clusters [{label, member_node_ids, insight}] + payload.target_opportunity.

FormateCouncilsReportsOpen questions
03

Ideate

Generate several distinct solution candidates that could address the TARGET OPPORTUNITY (not every opportunity at once). Go broad before judging.

FormateCouncilsNotesHypotheses
04

Test Assumptions

Name the riskiest assumptions behind the candidates and run small, fast tests on them; converge on what is worth pursuing and what feeds next week's interviews. Author payload.assumptions [{statement, result, evidence}] + payload.next_focus.

FormateCouncilsHypothesesDecisions
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