diagnose

Build MECE logic trees and falsifiable If/Then/Because hypotheses to diagnose metric gaps.

14|Updated Apr 1, 2026

Search Tags:#evidence #diagnose #artifact #root-cause #hypotheses #verdict #mece

Ready to run

npx skills add https://github.com/hungv47/meta-skills --skill diagnose-hungv47

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: diagnose
Source: https://github.com/hungv47/meta-skills/tree/main/skills/research/diagnose
Command: npx skills add https://github.com/hungv47/meta-skills --skill diagnose-hungv47

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Diagnose identifies the root cause of a metric gap by constructing a MECE logic tree and testable If/Then/Because hypotheses, ensuring outputs are falsifiable and auditable.

Core Features & Use Cases

Build 2-3 level, mutually exclusive branches with testable leaves.
Generate ranked hypotheses (If/Then/Because) and map data requirements.
Validate findings with a verdict and produce a canonical diagnose artifact.

Quick Start

Describe the metric gap and target, and I will build the MECE tree and hypotheses.

Frequently Asked Questions about diagnose

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

FAQPage Schema

How do I diagnose the root cause of a metric gap using a MECE logic tree?▼

To diagnose a metric gap, you build a 2-3 level MECE logic tree with mutually exclusive branches, formulate testable If/Then/Because hypotheses, and validate them with discriminating data to find the root cause.

What is the best way to formulate falsifiable hypotheses for root-cause analysis?▼

The best way to formulate falsifiable hypotheses for root-cause analysis is using the If/Then/Because framework, which ensures your assumptions are testable, auditable, and mapped to specific data requirements for validation.

How do I structure root-cause analysis findings for downstream prioritization?▼

You structure root-cause analysis findings by validating hypotheses with a final verdict and organizing outputs into a canonical artifact at docs/forsvn/canonical/research/DIAGNOSE.md for downstream prioritization.

Can I use this MECE tree approach for any metric gap analysis?▼

Yes, you can use this MECE tree approach for any metric gap analysis by simply describing the metric gap and your target, which triggers the generation of testable tree branches and ranked hypotheses.

Why use a MECE logic tree instead of general brainstorming for root-cause diagnosis?▼

A MECE logic tree ensures branches are mutually exclusive and collectively exhaustive, preventing overlapping causes and ensuring comprehensive root-cause diagnosis, unlike unstructured brainstorming which can miss key factors.

What data do I need to validate If/Then/Because hypotheses during root-cause analysis?▼

You need discriminating data that uniquely supports or refutes specific hypotheses to validate them during root-cause analysis, ensuring the final verdict is based on falsifiable evidence rather than assumptions.