The Opportunity Solution Tree (OST) is a visual tool that structures thinking from a desired outcome down through user opportunities, potential solutions, and experiments. It replaces scattered backlog thinking with a coherent map connecting work to value.
Ongoing, as a living artefact throughout continuous discovery. Most powerful when a team has too many ideas and no framework for choosing between them.
- Start with the desired OUTCOME at the top — a specific business or product metric
- Branch into OPPORTUNITIES: unmet customer needs that, if addressed, would drive the outcome
- Under each opportunity, branch into possible SOLUTIONS
- Under each solution, branch into EXPERIMENTS to test riskiest assumptions
- Work top-down from outcome, never bottom-up from a feature idea
- Keep it visual and collaborative — update it as you learn
Outcome: Increase free-to-paid conversion by 20%. Opportunity 1: Users don't understand Premium's value until they hit a limit. → Solution: Show Premium benefits at the moment of friction. → Experiment: A/B test contextual upsell vs. generic banner. Opportunity 2: Monthly price feels high for infrequent users. → Solution: Lower-cost Lite tier. → Experiment: Landing page test.
Please contact the author for more information on these examples at linkedin.com/in/kshitijrege
- Starting with solutions instead of outcomes — a common trap when stakeholders push feature requests
- Treating it as a one-time exercise rather than a living document
- Confusing opportunities (user needs) with solutions (product features)
- Continuous Discovery Habits — Teresa Torres