hypothesis-generator

Name: hypothesis-generator
Availability: InStock
Author: FunnelEnvy

Generate testable CRO hypotheses and a prioritized experiment roadmap from L0/L1 context.

1|Updated Apr 17, 2026

Search Tags:#context #roadmap #hypothesis #deliverables #experiment #ice-scoring #cro-patterns

Ready to run

npx skills add https://github.com/FunnelEnvy/funnelenvy-skills --skill hypothesis-generator-funnelenvy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hypothesis-generator
Source: https://github.com/FunnelEnvy/funnelenvy-skills/tree/main/skills/hypothesis-generator
Command: npx skills add https://github.com/FunnelEnvy/funnelenvy-skills --skill hypothesis-generator-funnelenvy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Hypothesis Generator converts existing positioning context into a prioritized, testable CRO hypothesis set and a sequenced experiment roadmap, enabling faster, more focused experimentation that aligns with business goals.

Core Features & Use Cases

Reads L0/L1 context and a library of CRO experiment patterns to surface testable opportunities.
Produces complete hypotheses with causal reasoning, target pages, before/after variants, audience mappings, and ICE scores.
Outputs a deliverable roadmap to .claude/deliverables/experiment-roadmap.md, including prerequisites and sequencing guidance.

Quick Start

Run /hypothesis-generator to generate a prioritized CRO experiment roadmap from your current context.

Frequently Asked Questions about hypothesis-generator

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

FAQPage Schema

How do I generate a CRO experiment roadmap from existing positioning context?▼

To generate a CRO experiment roadmap, you can use a hypothesis generator that transforms L0/L1 context into testable hypotheses with ICE scores, page targets, and audience mapping. It outputs a sequenced roadmap deliverable with prerequisites for execution.

What is ICE scoring and how does it apply to CRO hypotheses?▼

ICE scoring in CRO hypotheses evaluates experiment opportunities based on Impact, Confidence, and Ease. The hypothesis generator applies this framework to prioritize testable hypotheses, producing a sequenced experiment roadmap with scored deliverables.

How do I create testable CRO hypotheses with before and after variants?▼

You create testable CRO hypotheses by applying a library of CRO patterns to existing context to identify opportunities. The generator outputs complete hypotheses with causal reasoning, target pages, before/after variants, and audience mappings.

Do I need to collect web research or data before generating CRO hypotheses?▼

You do not need web research or data collection for this hypothesis generation process. The generator relies strictly on existing L0/L1 positioning context and CRO patterns, explicitly skipping external data collection to output the experiment roadmap.

Can I use CRO patterns to map audiences and sequence experiments automatically?▼

Yes, applying CRO patterns to context automatically maps audiences and sequences experiments. The generator identifies opportunities, assigns page targets and audience mappings, and outputs a prioritized roadmap with ICE scores and execution prerequisites.

What are the limitations of using automated hypothesis generation for experiment roadmaps?▼

Automated hypothesis generation for experiment roadmaps does not perform web research or data collection. It relies solely on provided L0/L1 context and CRO patterns, meaning the quality of the output depends entirely on the input context available.