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validate-hypotheses

Triangulate Confluence research and synthetic experiments to rank funnel hypotheses.

10|1|Updated Apr 6, 2026
Search Tags:#prioritization#confluence#validate#hypotheses#synthetic-research#funnel-monitor
One-click install
npx skills add https://github.com/lilyydavid/ai-diagnostic-loop-mirror --skill validate-hypotheses
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: validate-hypotheses
Source: https://github.com/lilyydavid/ai-diagnostic-loop-mirror/tree/main/projects/action-layer/agents/07-validation
Command: npx skills add https://github.com/lilyydavid/ai-diagnostic-loop-mirror --skill validate-hypotheses

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically validate funnel hypotheses by triangulating Confluence user research and synthetic investigations to produce a prioritized, sprint-ready set of validated hypotheses.

Core Features & Use Cases

  • Load inputs from funnel-monitor outputs (validation-hypotheses.md, pipeline-context.md) and market signals.
  • Cross-reference Confluence findings and synthetic persona research to assess evidence strength and recency.
  • Score, rank, and export outputs as sprint candidates, backlog candidates, and escalations for action.

Quick Start

Run /validate-hypotheses after the funnel-monitor steps complete to generate the validated-hypotheses report at outputs/validation/validated-hypotheses.md.

Frequently Asked Questions about validate-hypotheses

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

FAQPage Schema
How do I validate funnel hypotheses using Confluence research?▼

Validate funnel hypotheses by triangulating Confluence research with synthetic persona experiments to assess evidence strength, score impact, and rank hypotheses into sprint-ready candidates.

What is the best way to prioritize sprint-ready hypotheses from market signals?▼

Prioritize sprint-ready hypotheses by loading market signals and funnel-monitor outputs, modeling outcomes, and ranking hypotheses by confidence, impact, and implementation scope.

How does synthetic research work when validating hypotheses?▼

Synthetic research validates hypotheses by running synthetic persona investigations to cross-reference Confluence findings, assessing evidence strength and recency to produce a prioritized backlog.

Do I need funnel-monitor outputs to validate hypotheses?▼

Yes, validating hypotheses requires access to outputs/funnel-monitor/validation-hypotheses.md, pipeline-context.md, and outputs/market-intel/signals.md to source evidence and generate ranked results.

How do I export validated hypotheses into sprint candidates and escalations?▼

Export validated hypotheses by scoring and ranking them into sprint candidates, backlog candidates, and escalations for action, outputting the final report to outputs/validation/validated-hypotheses.md.

Can I use Confluence evidence to assess hypothesis confidence and implementation scope?▼

Yes, Confluence evidence assesses hypothesis confidence and implementation scope by cross-referencing user research findings with synthetic investigations to model outcomes and rank priorities.

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