Skip to main content
If you continue browsing this website, you agree to our policies:
  • Refund and Cancellation Policy
Continue
x
360LMS
  • Home
  • More
Log in
360LMS
Home
  1. Strategic Hinge Point Poll
  2. Complete a feedback

Strategic Hinge Point Poll

Completion requirements

Find the next constraint in your learning system.

This four-minute diagnostic examines whether your organization merely delivers learning or connects it to behavior, business results, and tested governance. Sixteen questions cover strategic alignment, evaluation, learning design, AI governance, and organizational capacity.

You receive a score across five cumulative stages, an explanation of what your current stage means, and the highest-leverage next step. This is not a test of you or a generic maturity badge. It is a self-reported baseline: what your system can currently demonstrate, what still depends on assumption, and which constraint is most useful to address next.

Anonymous. No account required. Add an email only if you want your private results sent to you.

Section A · Strategic alignment

Three questions on whether learning connects to what the organization is trying to do.

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

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)

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)

Who decides what learning gets built?(Required field)

Section B · Evaluation and measurement

Three questions on what counts as evidence that a program worked.

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

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)

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

Section C · Learning design

Three questions on standards — how "good enough" gets decided and communicated.

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

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)

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

Section D · AI governance

Four questions on how AI-assisted work is bounded, informed, and accepted. Answer "not applicable" freely if AI is not yet part of this work.

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

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)

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)

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)

Section E · Direction and capacity

Three questions on problem definition, follow-up, and how much work can genuinely be checked.

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

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)

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)

Optional — send me my results

This poll is anonymous, and it stays anonymous. If you would like your own results and the benchmark sent to you, leave an address below. Leave it blank and your answers still count.

Required
You are not logged in. (Log in)
Data retention summary
Policies
Get the mobile app
Across our propertiesCIWLEARNING the companyAI Operator Program program pageDrBill360 blog & authorIT Shop domains & hosting
Get occasional notes on AI, online learning, and new clinics
Refund and Cancellation Policy
Powered by Moodle