Strategic Hinge Point Poll

When was the last time you reviewed your training against company goals?(Required field)

If your CEO asked tomorrow which business outcome your largest learning program moves, could you answer without preparing?(Required field)

Who decides what learning gets built?(Required field)

Which level of evaluation do most of your learning programs reach?(Required field)

Think of the metric you most often report as evidence a program worked. How hard would it be for someone to move that number without doing the underlying work?(Required field)

When a program is judged successful, what typically decides that?(Required field)

Do your learning activities target all three domains of Bloom’s Taxonomy?(Required field)

How is the standard for acceptable work communicated to whoever produces your learning content?(Required field)

When a program is rebuilt or refreshed, how do you judge whether the new version is good enough?(Required field)

Has anyone written down what your AI tools may NOT touch?(Required field)

When AI produces work for you, what does it have in front of it?(Required field)

Who accepts AI-produced work before it is used, and against what standard?(Required field)

Your organization has a policy governing AI use. Has anyone TESTED that it is actually enforced — not that it is written, but that it stops what it says it stops?(Required field)

For your most recent AI-assisted project, was the PROBLEM it solved written down before the work started?(Required field)

How much AI-produced work can your team RESPONSIBLY verify per week?(Required field)

In the last year, has your organization changed a role, a policy, or a job description because of how AI changed the work?(Required field)