Module 6: Metrics, value realization, and accountability

Module 6: Metrics, value realization, and accountability#

Theme#

Metrics, value realization, and accountability

Essential Question#

How will leaders know AI strategy is working?

Module Components#

  • Book prose: conceptual framing, domain scenario, methods, and failure modes

  • Assignment: evidence-backed production of a specific artifact

  • Slides: presentation sequence for seminar or lecture delivery

  • Narration: spoken version of the slide flow

  • Rubric: criteria for evaluating the module artifact

  • Notebook: executable lab aligned with the module theme using synthetic initiative portfolio with strategic fit, feasibility, risk, cost, and expected value scores

Module Artifact#

board-ready AI strategy brief with portfolio prioritization and governance commitments focused on metrics, value realization, and accountability: Design an executive metric set.

Professional Setting#

Students work as if advising an executive committee deciding which AI initiatives deserve funding next quarter. Their work must be intelligible to CEO, CFO, CIO, business-unit leader, and governance chair.

Use This Module in Order#

  1. Read the learning chapter.

  2. Review the slide deck with the matching narration.

  3. In Populi, open the private student-repository link for this course and enter modules/module-6.

  4. Clone the repository once or open its Codespace/Colab copy; run lab.ipynb and complete exercise.ipynb there.

  5. Self-check with the rubric, commit and push the work, then submit exactly what Populi requests.