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validate

Analyze pilot results to classify assumptions as validated, invalidated, or inconclusive.

28|19|Updated Mar 5, 2026
Search Tags:#assumptions#validate#pivot#persevere#bml#pilot-results
One-click install
npx skills add https://github.com/panaversity/agentfactory-business-plugins --skill validate-panaversity
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: validate
Source: https://github.com/panaversity/agentfactory-business-plugins/tree/main/innovation/skills/validate
Command: npx skills add https://github.com/panaversity/agentfactory-business-plugins --skill validate-panaversity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams structure and synthesize outcomes from pilots and experiments into actionable product decisions, ensuring robust learning and guardrails before growth.

Core Features & Use Cases

  • Build-M Measure-Learn (BML) analysis: determine which assumptions are VALIDATED, INVALIDATED, or INCONCLUSIVE with evidence.
  • Pivot/Persevere recommendations: generate concrete pivot directions with rationale and next steps.
  • Innov.local.md updates: propose updates to assumptions, canvases, and personas based on results.
  • Learning synthesis: synthesize across sprints, identify patterns and open questions.

Quick Start

Upload your pilot results and I will generate a full BML analysis with pivot recommendations and innov.local.md updates.

Frequently Asked Questions about validate

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

FAQPage Schema
How do I analyze pilot results to determine if my startup assumptions are validated or invalidated?▼

Upload your pilot results to generate a Build-Measure-Learn analysis. The system evaluates each assumption, classifying it as VALIDATED, INVALIDATED, or INCONCLUSIVE, and documents the supporting evidence to guide your product decisions.

What is the best way to decide whether to pivot or persevere after a product experiment?▼

The best way to decide whether to pivot or persevere is by synthesizing your experiment evidence against your original assumptions. This analysis generates concrete pivot directions with rationale and clear next-step actions based on your BML outcomes.

How do I document Build-Measure-Learn outcomes and update my innovation canvases?▼

You document Build-Measure-Learn outcomes by structuring experiment evidence into a proposed innov.local.md update. This proposes specific updates to your assumptions, canvases, and personas based on the synthesized pilot results.

Can I synthesize learning across multiple sprints to identify open questions and patterns?▼

Yes, you can synthesize learning across sprints to identify patterns and open questions. The analysis structures your pilot results to ensure robust learning and guardrails before you scale product growth.

What format should my pilot results be in to generate pivot recommendations?▼

Pilot results can be uploaded directly into the system to generate BML analysis and pivot recommendations. The system processes the input to document evidence per assumption and propose structured next-step actions.

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