Evaluate AI product ideas across outcomes and risks
recommendation-canvasskillsetup L1★4,957
deanpeters/Product-Manager-Skills ↗What it does
Evaluate AI product solution comprehensively
Best for
Proposing new AI features when uncertainty is high and you need exec confidence in why/what/risk.
Inputs
- · Problem statement
- · Persona
- · Market context
- · Business constraints
Outputs
- · Recommendation proposal (outcomes, hypotheses, risks, positioning, metrics)
Preconditions
Initial discovery work completed
Failure modes
- · Assumptions hidden
- · High uncertainty not acknowledged
- · Solution-led instead of problem-led
Trust signals
- · 10-component canvas structure
- · PESTEL risk analysis
- · Explicit assumption tracking