# Recommendation Canvas

Evaluate an AI product idea across outcomes, hypotheses, risks, and positioning.

- Repository: https://github.com/deanpeters/Product-Manager-Skills (7825 stars)
- Category: Engineering
- License: see repository
- Last updated: 2026-10-16
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -g -a claude-code -y`
Codex: `npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -g -a codex -y`
Cursor: `npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -g -a cursor -y`
Gemini CLI: `npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add deanpeters/Product-Manager-Skills`

## Description

Evaluate an AI product idea across outcomes, hypotheses, risks, and positioning. Use when deciding whether an AI solution deserves investment or recommendation.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

## Purpose
Evaluate and propose AI product solutions using a structured canvas that assesses business outcomes, customer outcomes, problem framing, solution hypotheses, positioning, risks, and value justification. Use this to build a comprehensive, defensible recommendation for stakeholders and decision-makers, especially when proposing AI-powered features or products that carry higher uncertainty and risk.

This is not a feature spec, it's a strategic proposal that articulates *why* this AI solution is worth building, *what* assumptions need validating, and *how* you'll measure success.

## Input

**Works best with:** The AI product or feature idea being evaluated.
**Also useful:** Target customer, expected business outcome, known risks, and who the recommendation must convince.

Anything supplied with the invocation itself, text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line, counts as answers already given. Use it and skip whatever it covers; don't re-ask.

**Arriving empty-handed? That works too.** The skill asks for the idea and the decision-maker, then works through the canvas boxes.

**Example invocation:** `Recommendation canvas: AI-suggested reorder quantities for warehouse managers, VP Ops wants a go/no-go next month.`

## Key Concepts

### The Recommendation Canvas Framework
Created for Dean Peters' Productside "AI Innovation for Product Managers" class, the canvas synthesizes multiple PM frameworks into one strategic view:

The rest: https://github.com/deanpeters/Product-Manager-Skills/blob/HEAD/skills/recommendation-canvas/SKILL.md