opportunity-solution-tree
Skill114 starsChanged 10 months agoMITView on GitHub
Transform research into Opportunity Solution Tree (Teresa Torres method). Map outcomes, opportunities, solutions, and experiments.
21 other projects use a version of this.
Adopted by
Most recently taken up by
- vijaysuperpositionist/skillstheir own version, first seen Nov 1, 2026
- drvoss/everything-copilot-clitheir own version, first seen Oct 26, 2026
- deanpeters/Product-Manager-Skillstheir own version, first seen Oct 25, 2026
- daviszhen/agent-skillstheir own version, first seen Oct 25, 2026
- varunk130/claude-code-skillstheir own version, first seen Oct 24, 2026
- fahadnari/Claude-skillstheir own version, first seen Oct 20, 2026
Used with
Projects with it also use prioritization-advisor, outcome-roadmap and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
nandanosqlSkillprioritization-advisor
Guide PMs in choosing the right prioritization framework — RICE, ICE, Kano, MoSCoW, Value vs Effort, Cost of Delay — by asking adaptive questions about product stage, team context, and data availability.
Also in 5 projects that use this
skytiger6724Skilloutcome-roadmap
Transform an output-focused roadmap into an outcome-focused one that communicates strategic intent. Rewrites initiatives as outcome statements reflecting user and business impacts. Use when shifting to outcome roadmaps, making a roadmap more strategic, or rewriting feature lists as outcomes.
Also in 7 projects that use this
nandanosqlSkillbusiness-health-diagnostic
Run a comprehensive business health check across revenue, unit economics, product metrics, and market position — identifying strengths, weaknesses, and the single most important metric to fix.
Also in 4 projects that use this
skytiger6724Skillbrainstorm-experiments-new
Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand.
Also in 7 projects that use this
About-IntelligenceSkillproduct-name
Brainstorm 5 unique, memorable product names with rationale aligned to brand values and target audience.
Also in 6 projects that use this
launchapp-devSkillinterview-script
Create a structured user interview script with warm-up, core exploration, and wrap-up sections. Use when preparing for user research interviews to ensure consistent, insightful conversations.
Also in 8 projects that use this
- +4 more from skytiger6724
Other versions21 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 21
- deanpeters/Product-Manager-Skills★ 7.7ksame name
- avelikiy/great_cto★ 112same name
- drvoss/everything-copilot-cli★ 48same name
- aleksander-dytko/ai-pm-workspace★ 34same name
- DIAL-Studio/pm-agent-harness-kit★ 12same name
- The-Utopia-Studio/skills★ 6same name
- Adhamxon/claude-code-skills★ 2same name
- skytiger6724/qwen-skills★ 2same name
- agrivisionai/claude-skills★ 1same name
- berkcapar/product-management-skills★ 1same name
11 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository48 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- assumption-mappingSkill
- assumption-prioritizationSkill
- atlassian-jira-syncSkill
- backend-designSkill
- brainstormingSkill
- challenging-stakeholder-questionsSkill
- competitor-analysisSkill
- crux-diagnosisSkill
- davciSkill
- decision-journalSkill
- decision-reversibilitySkill
- difficult-conversationsSkill
- executive-update-reviewSkill
- experiment-designSkill
- frontend-designSkill
- google-calendar-schedule-checkSkill
- granola-meeting-syncSkill
- hidden-agendasSkill
- hypothesis-designSkill
- ideas-summarySkill
- influence-strategiesSkill
- interview-cleanupSkill
- jtbd-clusteringSkill
- jtbd-extractionSkill
- limit-based-strategySkill
- linear-issue-syncSkill
- llm-coding-guardrailsSkill
- mece-analysisSkill
- meeting-power-dynamicsSkill
- message-framing-commsSkill
- ost-intakeSkill
- ost-target-selectionSkill
- power-mapSkill
- prd-writingSkill
- problem-structuringSkill
- root-cause-analysisSkill
- signal-identificationSkill
- slack-message-checkSkill
- spec-writingSkill
- stakeholder-risk-reviewSkill
- structured-product-strategySkill
- systematic-debuggingSkill
- tddSkill
- value-chain-mappingSkill
- verificationSkill
- writing-plansSkill
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 10 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 20 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
When synthesizing user research into a structured view of opportunities.
- Distinctive: line 40
Create parent nodes where needed
- Distinctive: line 41
Run distinctness checks across siblings
- Distinctive: line 42
Run parent-child checks down branches
- Distinctive: line 43
Remove generic parents with single children
- Distinctive: line 79
All opportunities from user perspective
- Distinctive: line 80
No solutions in the tree
- Distinctive: line 81
Keep distinct across siblings
- Distinctive: line 82
Prefer specific over generic
- Distinctive: line 87
Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.
“Common” is measured: kept by at least 6 in 10 of the 20 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Opportunity Solution Tree (OST)
Transform interview data into a structured Opportunity Solution Tree following Teresa Torres's method.
When to Use
When synthesizing user research into a structured view of opportunities.
Key Concepts
Opportunity: A customer need, pain, or desire - phrased from user perspective, not a solution.
Moment in time: A distinct point in the customer journey.
Tests:
- Distinctness (siblings): Can we pursue one without addressing the other? If yes, they're distinct.
- Parent-child: Does solving the child partially solve the parent? If not, reframe.
The Process
1. Extract Opportunities
From interviews, capture:
- Verbatim quotes
- Reframed user-need statement
- Which journey moment it belongs to
2. Organize by Journey Moments
Group opportunities under their primary moment in time.
3. Structure Within Each Moment
- Cluster similar opportunities
- Create parent nodes where needed
- Run distinctness checks across siblings
- Run parent-child checks down branches
- Remove generic parents with single children
- Combine near-duplicates
4. Track Evidence
For each opportunity, capture:
- Representative quotes
- Frequency count
- Confidence level (low/med/high)
5. Prioritize Leaves
Score leaf opportunities:
- Impact (1-5)
- Frequency (1-5)
- Alignment to outcome (1-5)
- Priority = Impact x Frequency x Alignment
Output Format
Opportunity Inventory Table: | ID | Moment | Opportunity | Parent ID | Quotes | Frequency | Confidence |
Tree View (per moment):
## [Moment Name]
- [Parent opportunity]
- [Child opportunity]
- [Grandchild]Prioritized Leaf Backlog: Ranked list with scores and rationale.
Rules
- All opportunities from user perspective
- No solutions in the tree
- Keep distinct across siblings
- Prefer specific over generic
- Preserve verbatim quotes for evidence
When Not to Use
Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

