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How does your company actually decide?

Take part in a study of real business decisions.

We're reconstructing how real business decisions get made — what companies say about data and AI, and what actually happens in the room.

4 minutes, anonymous unless you choose to leave a contact. At the end — a mirror of your own decision, in your words.

Answer about what happened, not what should have happened.

1. In the last 12 months, were you part of a work decision that affected budget, people, or product direction?

*

A

Yes — I made or co-made it

B

Yes — I produced evidence for it (research, analysis, data)

C

Yes — closely involved, neither of the above

D

No

Now think of the most recent significant decision you were part of. Not the most dramatic — the most recent. Keep it in mind.

2. Before any evidence appeared — did the most senior person involved already lean toward one option?

*

A

Yes, clearly

B

Somewhat

C

No, genuinely open

D

Don't know

3. Had that leaning been said out loud before the evidence came?

*

A

No

B

Privately

C

Openly to the team

D

Publicly outside the team

E

Don't know

4. When did the evidence (research, data, analysis, AI summary) arrive?

*

A

Before anyone had a preference

B

After a preference existed, before it was announced

C

After it was announced

D

There was no evidence

5. What happened next?

*

A

The decision changed because of the evidence

B

Adjusted in parts

C

Stayed — the evidence supported it

D

Stayed — the evidence was judged unreliable or flawed

E

Stayed — more data was requested

F

Stayed — the question was reframed or postponed

6. Was there any evidence that could have changed this decision?

*

A

Yes — I can name what it would take

B

Hard to imagine any

C

Only events could change it, not evidence

D

Don't know

7. Where does AI actually enter your decisions? Select all that apply to the last time you used it.

*

Framing the question

Collecting / analyzing information

Summarizing findings into conclusions

Writing up the rationale for a decision already made

It effectively made the recommendation or the call

I don't use AI for decisions

8. When an AI output agrees with what you already think — how often do you verify it? Honestly.

*

A

Always

B

Usually

C

Sometimes

D

Rarely

E

Never

9. When it contradicts what you already think — how often do you verify it? Honestly.

*

A

Always

B

Usually

C

Sometimes

D

Rarely

E

Never

10. How would you describe the organization where you currently work? Select all that apply.

*

We are AI-driven

We are data-driven

We are driven by the experience and vision of our leaders

We are customer-driven

We are driven by whatever is urgent this week

None of these / hard to say

Other

11. Who in your company can say "I just see it this way" — and be followed without numbers?

*

12. How AI-driven are you?

*

0

1

2

3

4

5

6

7

8

9

10

13. How AI-driven is your company/organization?

*

0

1

2

3

4

5

6

7

8

9

10

14. How data-driven are you?

*

0

1

2

3

4

5

6

7

8

9

10

15. How data-driven is your company/organization?

*

0

1

2

3

4

5

6

7

8

9

10

16. Company/organization size

*

17. Your role

*

18. Country where your company mainly operates

*

A

Ukraine

B

USA

C

UK

D

EU

E

Canada

F

Australia

G

Other

19. Anything about how decisions really get made where you work that we should hear?

*

Would you be open for a 60-min decision-autopsy interview, anonymized; named acknowledgement in the book only with consent?

*

A

Yes

B

No