Glossary

Continuous discovery

Definition

Continuous discovery is the practice of conducting customer research on a regular cadence — typically weekly — so the product team maintains a current, grounded understanding of customer needs rather than relying on periodic big-batch research projects.

The term and framework were developed by Teresa Torres, whose book Continuous Discovery Habits laid out the practical mechanics. The core idea: a product trio (PM, designer, engineer) should talk to at least one customer per week, every week, indefinitely.

Continuous discovery is a response to the failure mode of big-batch research — where teams do a large study once at the start of a project, make a plan, and then build for months without checking whether reality matches their assumptions.

The opportunity solution tree is the central artifact in Torres's framework. It maps the desired outcome at the top, opportunities (customer problems, desires, pain points) in the middle, and solution ideas at the leaves. The tree is a living document, updated as the team learns more.

The weekly cadence does something specific: it keeps the team's mental model of the customer current. Memory decays. A team that last talked to users three months ago is building from a model that may no longer be accurate. A team that talked to users on Tuesday is building from fresh signal.

Continuous discovery sessions generate a lot of whiteboard output — opportunity trees, assumption maps, interview synthesis boards. BoardSnap captures those boards and preserves the structured findings as action items and summaries, so insights don't evaporate between sessions.

Examples

  • A PM interviewing one customer every Monday before sprint planning
  • An opportunity solution tree drawn on a whiteboard and updated weekly
  • An assumption test run in five minutes at the start of a user interview
  • A team synthesizing three weeks of interview notes on a whiteboard to update the opportunity tree

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