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Niopd St Ost

skill-8421bit-niopd-skills-niopd-st-ost · by 8421bit

Applies Opportunity Solution Tree framework to connect product outcomes to discovery and delivery. Use for continuous discovery, feature planning, solution validation, or aligning research to roadmap.

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$ agentstack add skill-8421bit-niopd-skills-niopd-st-ost

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Opportunity Solution Tree Skill

This skill applies the Opportunity Solution Tree framework to systematically connect desired outcomes to validated solutions.

Theoretical Foundation

Origin

The Opportunity Solution Tree (OST) was developed by Teresa Torres as part of her "Continuous Discovery Habits" methodology (2021).

OST Structure

flowchart TD
    O[Desired Outcome] --> OP1[Opportunity 1]
    O --> OP2[Opportunity 2]
    OP1 --> S1[Solution A]
    OP1 --> S2[Solution B]
    OP2 --> S3[Solution C]
    S1 --> E1[Experiment]
    S2 --> E2[Experiment]

| Level | Description | |-------|-------------| | Outcome | Measurable business/product result | | Opportunity | User/customer need or pain point | | Solution | Possible way to address opportunity | | Experiment | Way to validate solution |

Key Principles

  1. Outcome-focused: Start with what we want to achieve
  2. Multiple opportunities: Explore the problem space
  3. Multiple solutions: Don't jump to one answer
  4. Experiment-driven: Validate before building

When to Use

  • Continuous discovery process
  • Feature planning
  • Solution validation
  • Connecting research to roadmap
  • Team alignment on priorities

Instructions

Step 1: Define Desired Outcome

  • "What measurable outcome are we trying to achieve?"
  • "What metric will move?"
  • "Why is this outcome important?"

Step 2: Map Opportunities

For each outcome:

  • "What user needs or pain points could we address?"
  • "What opportunities exist in the problem space?"
  • Generate 3-5 opportunities per outcome

Step 3: Generate Solutions

For each opportunity:

  • "What are different ways we could address this?"
  • "What have competitors done?"
  • "What's a creative alternative?"
  • Generate 2-3 solutions per opportunity

Step 4: Design Experiments

For promising solutions:

  • "How can we test this cheaply and quickly?"
  • "What's the riskiest assumption?"
  • "What would we need to see to proceed?"

Step 5: Prioritize the Tree

  • Which outcomes matter most now?
  • Which opportunities have highest impact?
  • Which solutions have best experiment results?

Step 6: Generate OST Document

File path: 04-plans/[YYYYMMDD]-opportunity-tree-v0.md

Visual Format:

## Desired Outcome: [Outcome]

### Opportunity 1: [Opportunity]
- Solution A: [Solution] → Experiment: [Test]
- Solution B: [Solution] → Experiment: [Test]

### Opportunity 2: [Opportunity]
- Solution C: [Solution] → Experiment: [Test]

Output Specifications

  • File Naming: [YYYYMMDD]-opportunity-tree-v0.md
  • Location: 04-plans/
  • Template: references/ost-template.md

Related Skills

  • niopd-ur-jtbd: Understanding opportunities
  • niopd-pd-experiment: Experiment design
  • niopd-st-rice: Solution prioritization
  • niopd-bs-new-initiative: Initiative from opportunities

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.