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unknown

Analyze strategy documents with Known/Unknown quadrant analysis and generate hypothesis-driven playbooks.

Updated Apr 9, 2026
Search Tags:#playbook#hypothesis-driven#strategy-analysis#quadrant-analysis#assumption-check#known-unknown#risk-discovery
One-click install
npx skills add https://github.com/treejh/ai-agent-skills --skill unknown-treejh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: unknown
Source: https://github.com/treejh/ai-agent-skills/tree/main/plugins/clarify/skills/unknown
Command: npx skills add https://github.com/treejh/ai-agent-skills --skill unknown-treejh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Surface hidden assumptions, blind spots, and unstated risks in strategy, planning, or decision documents so teams avoid costly surprises and focus experiments where they matter most.

Core Features & Use Cases

  • Quadrant-based diagnosis: Draft a Known/Unknown 4-quadrant classification to separate Known Knowns, Known Unknowns, Unknown Knowns, and Unknown Unknowns.
  • Hypothesis-driven questioning: Run structured R1→R2→R3 rounds using multiple-choice hypothesis options (AskUserQuestion) to validate drafts and prioritize experiments.
  • Actionable playbook output: Produce a week-by-week execution roadmap, KU experiments with success and kill criteria, and "what to stop" decisions for strategic clarity.
  • Use case: Review a product roadmap or go-to-market plan to identify the riskiest assumptions, design low-effort experiments, and create a prioritized execution playbook.

Quick Start

Analyze my strategy document and produce a Known/Unknown quadrant playbook with R1 hypothesis questions to surface blind spots and prioritized experiments.

Frequently Asked Questions about unknown

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I uncover hidden assumptions in a strategy document?▼

Use hypothesis-driven questioning through structured R1 to R3 rounds with multiple-choice options to validate assumptions, prioritize experiments, and produce a playbook with success criteria and kill conditions.

How do I identify risky assumptions in a product roadmap?▼

Apply quadrant analysis to your roadmap to separate known unknowns from unknown unknowns, generating hypothesis-driven questions that inform prioritization and define stop conditions for invalid strategies.

What is a Known/Unknown quadrant analysis for risk discovery?▼

It surfaces hidden assumptions in decision records by mapping knowns and unknowns, enabling teams to focus experiments where they matter most and avoid costly surprises during execution.

Can I use hypothesis-driven multiple-choice questions to validate strategic plans?▼

This structured R1 to R3 questioning approach surfaces blind spots in go-to-market plans by challenging unstated risks and generating actionable, week-by-week execution roadmaps.

What's the best way to design experiments for unknown risks in go-to-market plans?▼

By conducting quadrant analysis on your plan, you can isolate unknown unknowns and generate a prioritized, hypothesis-driven execution roadmap that clarifies what strategic initiatives to stop or scale.

When do I need assumption checks and quadrant analysis for decision records?▼

Apply this analysis to high-level strategic plans to separate knowns from unknowns, producing a structured playbook with week-by-week execution steps and clear stop conditions for failing initiatives.

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