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/recommendation-canvas

@b68bf96

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

Use this Skill: https://skilld.dev/gh/deanpeters/product-manager-skills/recommendation-canvas

This session only. Nothing lands on disk.

template.md

≈526 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Recommendation Canvas Template

Use this template to produce a complete AI recommendation canvas.

Provenance

Adapted from prompts/recommendation-canvas-template.md in the https://github.com/deanpeters/product-manager-prompts repo.

Template

## AI Recommendation Canvas

### Product Name
- [Name of the AI product or service]

### Business Outcome
- [Direction][Metric][Outcome][Context][Acceptance criteria]

### Product Outcome
- [Direction][Metric][Outcome][Context][Acceptance criteria]

### The Problem Statement
- [2-3 sentence narrative from the persona's POV]

### Solution Hypothesis
**If we** [action or solution]
**for** [target persona]
**Then we will** [desirable outcome]

**Tiny Acts of Discovery:**
- [Experiment 1]
- [Experiment 2]
- [Add more as needed]

**Proof-of-Life:**
Within [timeframe], we observe:
- [Quantitative outcome]
- [Qualitative outcome]

### Positioning Statement
**For** [target customer/persona]
**that need** [underserved need]
[product name]
**is a** [product category]
**that** [benefit statement]

**Unlike** [primary competitor or alternative]
[product name]
**provides** [unique differentiation]

### Assumptions & Unknowns
- **[Assumption/Unknown 1]** - [Description]
- **[Assumption/Unknown 2]** - [Description]

### Issues/Risks to Investigate (PESTEL)
- **Political:** [Risk]
- **Economic:** [Risk]
- **Social:** [Risk]
- **Technological:** [Risk]
- **Environmental:** [Risk]
- **Legal:** [Risk]

### Issues/Risks to Monitor (PESTEL)
- **Political:** [Risk]
- **Economic:** [Risk]
- **Social:** [Risk]
- **Technological:** [Risk]
- **Environmental:** [Risk]
- **Legal:** [Risk]

### Value Justification
**Is this Valuable?** [Absolutely yes / Yes with caveats / No]

**Solution Justification:**
1. **[Justification 1]** - [Description]
2. **[Justification 2]** - [Description]

### Success Metrics
1. **[Metric 1]** - [Description]
2. **[Metric 2]** - [Description]
3. **[Metric 3]** - [Description]

### What's Next
1. **[Next step 1]** - [Description]
2. **[Next step 2]** - [Description]
3. **[Next step 3]** - [Description]

Source: SKILL.md on GitHub

1 warning17d5 checks · Risk SAFE
  • Gen Agent Trust Hub17d

    The skill is a strategic framework for evaluating AI product ideas using Markdown templates. It contains no executable code, network operations, or system-level commands, making it safe for use.

  • Socket17d

    No alerts

  • Snyk17d

    Risk: LOW · No issues

  • Runlayer7mo

    3/3 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at b68bf96. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last month.

Activeupdated 2 months ago
argument-hint
[AI product idea]
type
component
theme
validation-experiments
Other metadata
intent
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.
best_for
[
  "Deciding whether an AI product idea deserves real investment",
  "Surfacing the risks and hypotheses behind an AI feature request",
  "Comparing AI solution options on outcomes rather than novelty"
]
scenarios
[
  "Leadership wants an AI feature and I need to evaluate whether it's worth building",
  "I have three AI solution options and need to compare them on outcomes and risk"
]
estimated_time
30-45 min

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