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MiDouTech
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recommendation-canvas

Document AI product recommendations with outcomes, hypotheses, risks, and positioning.

Updated Mar 30, 2026
Search Tags:#validation#ai#framework#canvas#recommendation#risk#product-management
One-click install
npx skills add https://github.com/MiDouTech/myTapd --skill recommendation-canvas-midoutech
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: recommendation-canvas
Source: https://github.com/MiDouTech/myTapd/tree/main/.claude/skills/recommendation-canvas
Command: npx skills add https://github.com/MiDouTech/myTapd --skill recommendation-canvas-midoutech

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams create a structured, defensible recommendation for AI product ideas by mapping outcomes, hypotheses, risks, and positioning in a single canvas.

Core Features & Use Cases

  • Structured Canvas: A comprehensive framework that blends business outcomes, product outcomes, problem framing, solution hypotheses, positioning, assumptions, and risks into a single, actionable brief.
  • Decision-Ready Documentation: Generates crisp, executive-ready narratives for stakeholder buy-in and funding requests.
  • Use Case Scenarios: Ideal for evaluating AI-powered features with high uncertainty and for aligning cross-functional teams.

Quick Start

Instruct the AI to fill out the Recommendation Canvas for a given AI feature, starting with the problem and the desired outcomes.

Frequently Asked Questions about recommendation-canvas

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

FAQPage Schema
How do I structure an AI product recommendation for stakeholders?▼

Validate an AI feature by documenting proof-of-life, assumptions, and PESTEL risks within a recommendation canvas. It guides teams through problem framing and validation plans to ensure defensible product decisions.

What is the best way to document AI feature validation plans?▼

Document AI feature validation plans by mapping problem statements, solution hypotheses, and success metrics into a structured recommendation canvas. This produces a comprehensive brief for evaluating features with high uncertainty.

Can I use a structured canvas for AI products with high uncertainty?▼

Yes, a structured recommendation canvas is ideal for AI products with high uncertainty. It blends business outcomes, problem framing, and PESTEL risks into a decision-ready document to guide cross-functional teams.

How do I justify business value for AI product ideas?▼

Justify AI product business value by mapping value justification, desired outcomes, and success metrics in a canvas. This creates a defensible, executive-ready narrative for funding requests and stakeholder alignment.

What should be included in an executive-ready AI product brief?▼

An executive-ready AI product brief should include business outcomes, problem statements, assumptions, PESTEL risks, value justification, success metrics, and next steps. This ensures comprehensive positioning and decision-ready documentation.

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