Module · Does the model research, or write for you

The Analyst's AI Check

AI can draft an analysis in seconds that used to take you a day, and that is exactly the danger. The speed hides whether you still verified the sources, showed your method, and told the reader what you do not know. This module checks the five habits that separate an analyst who uses AI as a tool from one who has quietly handed over the thinking: source verification, method transparency, real synthesis, data discipline, and honest uncertainty.

Question 1 of 5 · You verify every source

When AI hands you a fact or a citation, do you check it before it goes in your work?

Models invent plausible sources and misquote real ones with total confidence. A citation you did not open is a claim you are making on trust. The reader assumes you checked; make sure they are right.

Question 2 of 5 · Your method is visible

Could a colleague see how you reached a conclusion, including where AI did the work?

Analysis the reader cannot trace is an opinion with a chart attached. If part of the reasoning happened inside a prompt you cannot reproduce, your method has a hole nobody can inspect.

Question 3 of 5 · You synthesise, not paste

Does your output add judgment the model did not, or mostly repackage what it said?

The value of an analyst is the connection nobody else made, the caveat the data hides, the recommendation with your name behind it. If the AI could have produced your deliverable alone, the reader did not need you.

Question 4 of 5 · You guard the data

Do you know which data you can paste into an AI tool, and follow that line?

Analysts handle exactly the material that must not leak: unpublished results, personal records, client figures, deal data. A public model may train on what you paste, and once it is out it does not come back.

Question 5 of 5 · You state what you do not know

Do you tell the reader how confident to be, especially where AI filled a gap?

Models write uncertainty in the same fluent tone as fact, and that fluency erases the caveats you owe the reader. An honest confidence level is worth more than a clean-looking number built on a guess.

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.

How much of your research and analysis now involves AI tools?

None

Occasional help

A regular part

Most of my work

I cannot work without it

Have you caught AI inventing a fact or source in your own work?

Never seen it

Once or twice

Regularly

Yes, after it shipped

I do not check

Do you have a clear rule for what data may go into AI tools?

No rule

My own judgment

A team norm

A written policy

Not sure

Your context

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Company size Sector (optional)

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