See what your team’s answers can help you discuss.
Before you ask colleagues to take a survey, see the information you will get back. This example uses eight made-up responses. It is not client evidence, a benchmark or a capability score.
Free. About three minutes per participant. No participant account needed.
Example results: eight responses
The live report updates as colleagues reply. It shows counts and written answers. These results describe respondents, not everyone in an organisation.
What gets in the way
I'm not sure what I'm allowed to put into it5 of 8
I worry about it being wrong and not spotting it3 of 8
I tried it and what came back wasn't good enough2 of 8
I don't know what it's actually good for2 of 8
I haven't had time to learn it1 of 8
Nobody has ever shown me how1 of 8
I don't have access to a proper account at work1 of 8
People can choose several barriers, so counts overlap. An unanswered optional question does not mean “no barrier”.
Reported AI use
Most weeks2 of 8
A few times a month2 of 8
Tried it once or twice2 of 8
Most days1 of 8
Never1 of 8
Awareness of guidance
There is something, but I could not tell you what3 of 8
Yes, there is a policy and I know what it says2 of 8
There is no policy that I know of2 of 8
I have never thought about it1 of 8
Self-reported prompting confidence
2.5 / 5
4 of 8 respondents chose 1 or 2.
This describes how confident people feel. It does not demonstrate that they can apply AI well.
The work behind the numbers
Written answers appear in the live report. The examples below are invented; they are not testimonials.
Which task eats the week?
“Answering the same onboarding questions and checking which guidance is current.”
What could an assistant help with?
“Preparing a first draft from the guidance we have approved.”
What would a useful improvement look like?
“Fewer corrections before an answer can be sent.”
How you might interpret this example
Start with the barrier, then decide what would help.
Five of these eight fictional respondents are unsure what they can put into AI. Clarifying approved tools and information boundaries would be a useful discussion before asking everyone to use AI more.
The onboarding comments suggest another question: is the source guidance clear and current? Better source material or a simpler process might help before a new tool does.
This interpretation is an example of a discussion you can have with the report. The survey does not automatically produce a diagnosis, training prescription or savings estimate.
Find out where your own team is stuck.
Create a survey, share the participant link and use your separate results link to see what comes back. Participants are not asked for names or emails, but written answers can identify people; ask colleagues to leave out personal and confidential details.