acquisition-channel-ad…
Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.
Build an Opportunity Solution Tree from outcomes to opportunities, solutions, and tests. Use when a stakeholder request needs problem framing before you decide what to build.
$ npx -y skills add deanpeters/Product-Manager-Skills --skill opportunity-solution-tree --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/opportunity-solution-treeContext preview
The summary Claude sees to decide when to auto-load this skill.
Build an Opportunity Solution Tree from outcomes to opportunities, solutions, and tests. Use when a stakeholder request needs problem framing before you decide what to build.
name: opportunity-solution-tree argument-hint: "[stakeholder request or outcome]" description: Build an Opportunity Solution Tree from outcomes to opportunities, solutions, and tests. Use when a stakeholder request needs problem framing before you decide what to build. intent: >- Guide product managers through creating an Opportunity Solution Tree (OST) by extracting target outcomes from stakeholder requests, generating opportunity options (problems to solve), mapping potential solutions, and selecting the best proof-of-concept (POC) based on feasibility, impact, and market fit. Use this to move from vague product requests to structured discovery, ensuring teams solve the right problems before jumping to solutions—avoiding "feature factory" syndrome and premature convergence on ideas. type: interactive theme: discovery-research best_for: - "Turning a stakeholder feature request back into a problem worth solving" - "Connecting a desired outcome to opportunities, solutions, and tests" - "Showing why one solution was chosen over the alternatives" scenarios: - "A stakeholder asked for a specific feature and I want to reframe it as a problem first" - "I need to show leadership why we picked this solution over the three alternatives" estimated_time: "30-45 min"
Guide product managers through creating an Opportunity Solution Tree (OST) by extracting target outcomes from stakeholder requests, generating opportunity options (problems to solve), mapping potential solutions, and selecting the best proof-of-concept (POC) based on feasibility, impact, and market fit. Use this to move from vague product requests to structured discovery, ensuring teams solve the right problems before jumping to solutions—avoiding "feature factory" syndrome and premature convergence on ideas.
This is not a roadmap generator—it's a structured discovery process that outputs validated opportunities with testable solution hypotheses.
**Works best with:** The stakeholder request or the target outcome you're starting from. **Also useful:** Customer evidence you already have, constraints, and solutions already being pushed.
Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.
**Arriving empty-handed? That works too.** The skill opens by asking for the request or desired outcome, then extracts the measurable target outcome from it.
**Example invocation:** `Build an OST from this request: 'Sales says we need a mobile app because competitors have one.'`
An OST is a visual framework (Teresa Torres, *Continuous Discovery Habits*) that connects: 1. **Desired Outcome** (business goal or product metric) 2. **Opportunities** (customer problems, needs, pain points, or desires that could drive the outcome) 3. **Solutions** (ways to address each opportunity) 4. **Experiments** (tests to validate solutions)
**Structure:**
Desired Outcome (1)
|
+-----------+-----------+
| | |
Opportunity Opportunity Opportunity (3)
| | |
+-+-+ +-+-+ +-+-+
| | | | | | | | |
S1 S2 S3 S1 S2 S3 S1 S2 S3 (9 total solutions)---
Use [`workshop-facilitation`](../workshop-facilitation/SKILL.md) as the default interaction protocol for this skill.
It defines:
This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.
Use `template.md` for the full fill-in structure.
This interactive skill follows a **two-phase process**:
**Phase 1:** Generate OST (extract outcome, identify opportunities, map solutions) **Phase 2:** Select POC (evaluate solutions, recommend best starting point)
---
**Agent suggests:**
Before we create your Opportunity Solution Tree, let's gather context:
**Stakeholder Request or Product Initiative:**
77 battle-tested PM frameworks, ready for Claude, Codex, ChatGPT, and any agent that can read structured knowledge.
Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.
Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring. Use when a complex PM task should run as parallel specialized agents instead…
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
Understand the PM-to-Director transition through altitude and horizon thinking. Use when diagnosing scope, time-horizon, or leadership-level gaps.
Map evidence-backed growth options across the Ansoff Matrix with risk-rated sequencing. Use when the question is where the next tranche of growth comes from,…
The protocol behind every investigation skill. Use when AI research must proceed without you: search-plan gate, Fact/Inference/Assumption labels, confidence…