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hypothesis-tree

Structure complex questions into a hierarchical MECE tree of testable hypotheses.

Updated Nov 28, 2025
Search Tags:#decision making#problem solving#decomposition#hypothesis testing#strategic planning#MECE
One-click install
npx skills add https://github.com/davidsteinberger/dotfiles --skill hypothesis-tree-davidsteinberger
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hypothesis-tree
Source: https://github.com/davidsteinberger/dotfiles/tree/main/opencode/.config/opencode/skills/hypothesis-tree
Command: npx skills add https://github.com/davidsteinberger/dotfiles --skill hypothesis-tree-davidsteinberger

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you break down ambiguous challenges, complex questions, or product ideas into a structured, MECE (Mutually Exclusive, Collectively Exhaustive) tree of testable hypotheses, ensuring all potential angles are considered.

Core Features & Use Cases

  • Structured Decomposition: Organizes complex problems into a hierarchical tree of hypotheses.
  • MECE Framework: Ensures comprehensive coverage without overlap.
  • Testable Hypotheses: Guides the formulation of specific, falsifiable, and actionable hypotheses.
  • Prioritization: Provides a framework for prioritizing hypotheses based on evidence, effort, and impact.
  • Use Case: When a product manager needs to understand why a new feature has low adoption, they can use this Skill to break down potential reasons (e.g., awareness, usability, value proposition) into specific, testable questions.

Quick Start

Use the hypothesis-tree skill to break down the question "Why is user engagement declining?" into a structured tree of hypotheses.

Frequently Asked Questions about hypothesis-tree

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

FAQPage Schema
How do I break down complex problems into testable hypotheses for product validation?▼

To break down complex problems into testable hypotheses, structure ambiguous challenges into a hierarchical MECE tree, ensuring comprehensive coverage of potential angles for actionable research and testing plans.

What is the MECE framework for problem decomposition?▼

The MECE framework for problem decomposition organizes complex questions into mutually exclusive and collectively exhaustive branches, ensuring all potential angles are considered without overlap during strategic planning.

How do I structure a hypothesis tree to figure out why a feature has low adoption?▼

To structure a hypothesis tree for low feature adoption, decompose potential reasons like awareness, usability, and value proposition into specific, falsifiable questions using a MECE framework.

Can I prioritize hypotheses based on effort and impact for strategic planning?▼

Yes, you can prioritize hypotheses based on evidence, effort, and impact by applying a structured framework that evaluates each testable branch within the hierarchical tree during strategic planning.

When do I need to use a hypothesis tree for decision making?▼

You need to use a hypothesis tree for decision making when facing ambiguous challenges or complex product ideas that require structuring into a comprehensive, testable format to ensure all potential angles are considered.

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