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Lewrick
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Design Thinking and Innovation Metrics › Templates › Measuring 101
Measuring 101 · book page 249
Basic AI Canvas
A canvas to frame a forecasting or business problem for AI: prediction, judgment, action, outcomes, input, training data and feedback.
When to use it
When a team wants to use predictive or prescriptive algorithms and needs to clarify what the AI should decide and which data it needs.
How to start
- Describe the business or forecast problem the team wants to solve.
- Define the prediction, how outcomes and errors are valued, and which action follows.
- Specify input and training data and how outcomes feed back to improve the algorithm.
The book explains the tool step by step, with examples of measurements.
More Measuring 101 templates
Measuring 101 · p. 219Problem to Scale and Growth Innovation FunnelA funnel to track design challenges and initiatives through distill, validate, prove, invest and scale, and to document each validation step.Measuring 101 · p. 172North Star Metric(s) CanvasA canvas to define the North Star metric and the leading input metrics that drive mid- and long-term business results and customer value.Measuring 101 · p. 179MVM: Minimum Viable Metrics CanvasA canvas to design a minimum viable set of actionable exploration metrics: scope, decision makers, operationalization, measuring, evaluation and cost.
Get the book
Order on AmazonDesign Thinking and Innovation Metrics, Wiley 2023: every tool explained step by step.
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