# recommendation-canvas-template.md
# AI Recommendation Canvas Template
## Product Name
- [Name of the AI product or service]
## Business Outcome
- [Direction][Metric][Outcome][Context from persona's point-of-view][Acceptance criteria]
## Product Outcome
- [Direction][Metric][Outcome][Context from persona's point-of-view][Acceptance criteria]
## The Problem Statement
### Problem Statement Narrative
- [Persona description]
- [Based on the Problem Statement Components Worksheet (see comment section immediately above), write 2 or 3 sentences that tell the persona's story from their point-of-view]
## Solution Hypothesis
### Hypothesis Statement
**If we** [an action or a solution on behalf of the target persona]
- **for** [the target persona of the action or solution]
- **Then we will** [attain or achieve a desirable outcome or job-to-be-done for the target persona].
### Tiny Acts of Discovery
**We will test our assumption by:**
- [Small, measurable experiment of discovery focused on product viability]
- [Small, measurable experiment or discovery focused on customer value]
- [Add more experiments as necessary]
### Proof-of-Life
**We know our hypothesis is valid if within** [timeframe in days or weeks]
**we observe:**
- [Desirable quantitative measurable outcome]
- [Desirable qualitative measurable outcome]
- [Add more outcomes as necessary]
## Positioning Statement
### Value Proposition
**For** [target customer/user persona]
- **that need** [statement of the user's underserved need]
- [name of the AI product or service]
- **is a** [definition of the product category]
- **that** [statement of benefit to the user, focusing on outcomes].
### Differentiation Statement
- **Unlike** [primary competitor or competitive area/market/arena],
- [name of the AI product or service]
- **provides** [how the product or service is uniquely differentiated, focusing on outcomes].
## Assumptions & Unknowns
- **[Assumption or unknown name/title 1]** - [Assumption or unknown description 1]
- **[Assumption or unknown name/title 2]** - [Assumption or unknown description 2]
- [Add more assumptions or unknowns as necessary]
## Issues/Risks to Investigate
- **Political** - [Issue/risk to investigate related to political factors]
- **Economic** - [Issue/risk to investigate related to economic factors]
- **Social** - [Issue/risk to investigate related to social factors]
- **Technological** - [Issue/risk to investigate related to technological factors]
- **Environmental** - [Issue/risk to investigate related to environmental factors]
- **Legal** - [Issue/risk to investigate related to legal factors]
## Issues/Risks to Monitor
- **Political** - [Issue/risk to monitor related to political factors]
- **Economic** - [Issue/risk to monitor related to economic factors]
- **Social** - [Issue/risk to monitor related to social factors]
- **Technological** - [Issue/risk to monitor related to technological factors]
- **Environmental** - [Issue/risk to monitor related to environmental factors]
- **Legal** - [Issue/risk to monitor related to legal factors]
## Value Justification
### Is this Valuable
- [Absolutely yes, Yes with caveats, No with suggested alternatives, or Absolutely NO!]
### Solution Justification
We think this is a valuable idea. Here's why:
1. **[Justification name/title 1]** - [Justification description 1]
2. **[Justification name/title 2]** - [Justification description 2]
## Success Metrics
1. **[Success metric name/title 1]** - [Success metric description 1]
2. **[Success metric name/title 2]** - [Success metric description 2]
3. **[Success metric name/title 3]** - [Success metric description 3]
## What's Next
1. **[Next step name/title 1]** - [Next step description 1]
2. **[Next step name/title 2]** - [Next step description 2]
3. **[Next step name/title 3]** - [Next step description 3]
4. **[Next step name/title 4]** - [Next step description 4]
5. **[Next step name/title 5]** - [Next step description 5]
## Canvas Credits
- The 'Recommendation Canvas' from the '[AI Innovation for Product Managers](https://www.productside.com/courses/ai-innovation-for-product-managers/)' class.
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*This prompt is adapted from [Product Manager Prompts](https://github.com/deanpeters/product-manager-prompts) by Dean Peters (MIT License).*