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Frame the initiative: outcome, constraints, stakeholders

Evaluate an AI initiative proposal by applying the three-question framing structure (outcome, constraints, stakeholders) to identify gaps or ambiguities in project scope, drawing on backward design principles that begin…

You'll be able to

  • Evaluate an AI initiative proposal by applying the three-question framing structure (outcome, constraints, stakeholders) to identify gaps or ambiguities in project scope, drawing on backward design principles that begin with the end in mind [^4].
  • Create a completed one-page framing template for a generative AI deployment scenario, specifying measurable outcomes, technical and organizational constraints, and stakeholder roles with sufficient detail to guide Stage 2 assessment planning [^2][^7].
  • Classify project constraints (technical, regulatory, resource, timeline) and stakeholder interests (decision authority, implementation responsibility, affected users) within a real or simulated AI initiative, demonstrating the ability to set intelligent priorities before selecting implementation methods [^7][^9].
  • Construct a backward-designed project charter that identifies enduring understandings and essential questions for an AI initiative, ensuring that teaching and implementation activities serve as means to the identified end rather than starting points [^8][^9].
  • Critique a peer's initiative framing document using design standards that assess whether the stated outcome is worthy of organizational investment, whether constraints are valid and sufficient, and whether all stakeholders with decision or implementation roles have been identified [^7].