Opportunity Solution Tree
An Opportunity Solution Tree is a visual framework linking business outcomes to customer opportunities, solutions, and assumption tests.
“We need to fall in love with the customer problem, not our initial feature solution.”
Product teams frequently jump from a business goal directly to building a massive software feature without exploring the underlying customer opportunity space. The Opportunity Solution Tree forces continuous discovery and rapid assumption testing.
Multi-Hop Causal Traversal Engine
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Opportunity Solution Tree
An Opportunity Solution Tree is a visual framework linking business outcomes to customer opportunities, solutions, and assumption tests.
Direct Relationships (3)
Transitive Neighbors (Connected via Hop 1)
Extended Causal Ripple Effects
Richard Ewing’s Research Thesis
Product teams must systematically map opportunities and test assumptions before writing production code.
Why This Specification Exists
Product teams waste quarters building complex features that fail to move business metrics.
Brainstorming feature lists and prioritizing them via arbitrary scoring formulas.
No visual structure connecting high-level business goals to verified customer needs and assumption tests.
The Opportunity Solution Tree providing a rigorous visual hierarchy for continuous discovery.
What Changes If You Believe This?
Engineers participate in problem discovery and co-design lightweight technical experiments.
Minimizes wasted capital spent building full-scale features that fail to achieve business outcomes.
Product trios (PM, Design, Tech Lead) maintain continuous customer empathy and shared context.
Ensures assumption tests do not expose customer PII during experimental prototyping.
Recommended Action by Role
Build an Opportunity Solution Tree with your designer and tech lead for your next quarterly outcome.
Audit Interview Scorecard
Evaluates candidate continuous discovery and problem-mapping skills.
Frequently Asked Questions
Q:What is an Opportunity Solution Tree?
A visual mapping framework that connects desired outcomes to customer needs (opportunities), potential features (solutions), and validation tests.
Q:Why is it better than a traditional feature backlog?
Because it prevents premature commitment to a single feature and forces teams to validate multiple ways to achieve the business outcome.
Canonical Specification Origin
Opportunity Solution Trees link business outcomes to verified customer needs.
Corpus Interconnections
Richard Ewing artifacts developed around this canonical framework, including publications, execution tools, and diagnostic models.
External Adoption & Peer Citations
Documented instances where independent researchers, engineering teams, and publications have cited, implemented, or referenced this concept outside Richard Ewing’s ecosystem.
External Evidence: No independently verified references recorded yet.
This concept is part of Richard Ewing’s original baseline canon. External citations and implementations are added only upon rigorous empirical verification.
Inspectable Evidence Ledger
Classified evidence items supporting, extending, or refining this canonical research specification.
| Evidence Item | Publisher | Evidence Type | Strength | Role | Action |
|---|---|---|---|---|---|
| The 3 Financial Metrics Every PM Needs on Their Scorecard | Mind the Product | Industry Article | ★★★★★ | Origin | Inspect ↗ |
Recommended Citation
Ewing, R. (2026). "Opportunity Solution Tree." Richard Ewing Research Canon. Available at: https://www.richardewing.io/concepts/opportunity-solution-tree
@article{ewing_opportunity_solution_tree,
author = {Ewing, Richard},
title = {Opportunity Solution Tree},
journal = {Richard Ewing Research Canon},
year = {2026},
url = {https://www.richardewing.io/concepts/opportunity-solution-tree}
}