World Model Readiness Does anyone check if it worked?

Module · Does anyone check if it worked?

The Outcome Loop Check

Most companies produce recommendations and never learn whether they worked. A closed loop runs from recommendation to action to a measured outcome and back again, and it is the single mechanism that lets AI improve instead of just repeating itself. This module checks whether even one such loop exists, and where your chains break.

Question 1 of 5 · A closed loop exists

Can you name one recommendation whose real-world outcome you actually measured and fed back?

Not a dashboard, not a forecast: a full loop. Someone recommended, someone acted, the result was measured, and that result changed the next recommendation. If you cannot name one, you do not yet have a loop.

Question 2 of 5 · Outcomes, not outputs

Do you measure the outcomes of your decisions, or only that they happened?

Shipping a recommendation is an output. Whether it moved the number it promised to move is the outcome. Most reporting stops at the output because the outcome is harder and sometimes embarrassing.

Question 3 of 5 · Recommendations reach action

Do your recommendations turn into action, or die in a deck?

A recommendation nobody acts on cannot have an outcome to measure. The most common break in the chain is the earliest one: the insight is produced, admired, and never actioned.

Question 4 of 5 · You know where it breaks

Do you know exactly where your recommendation-to-outcome chains break?

Every open loop breaks at a specific link: the recommendation is ignored, the action is unrecorded, or the outcome is never measured. Knowing which link is the difference between fixing it and blaming the model.

Question 5 of 5 · Someone closes the loop

Is there a named person accountable for closing the loop, not just running the model?

Loops stay open because closing them is nobody's job. The model has a team, the dashboard has a team, but the full chain from recommendation to measured outcome usually has no owner at all.

For the statistics · one click each

Three questions for the public picture

These do not affect your score. They feed the anonymised, aggregated statistics; groups under 8 respondents are never shown.

Can you point to one recommendation whose real-world outcome you measured?

Yes, several
Yes, one
Not sure
No

What usually happens to a recommendation in your company?

Actioned and reviewed
Actioned, never reviewed
Sometimes actioned
Dies in a deck
We do not track

How do you usually learn whether a past decision worked?

Measured against a target
Anecdote and memory
Gut feel
We rarely check

Your context

Used to calibrate the report. Company size and sector remain in the anonymized dataset; your email does not.