Q01
Message
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AI Upskilling Program Impact & Skill Transfer Survey
Measures whether an AI skills training program actually changed how employees work — confidence gains, specific skill areas, and real on-the-job use — for L&D teams evaluating a completed cohort. The AI follow-up interview digs into what participants actually did differently at work and what's blocking wider adoption.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
Which AI upskilling program or track did you complete?
- (Replace with Program A)
- (Replace with Program B)
- (Replace with Program C)
Q03
Opinion ScaleRequired
Before this program, how confident were you using AI tools (e.g., generative AI assistants) in your daily work?
Scale: 1 – 7
Min:Not at all confidentMax:Extremely confident
Q04
Opinion ScaleRequired
Now that you've completed the program, how confident are you using AI tools in your daily work?
Scale: 1 – 7
Min:Not at all confidentMax:Extremely confident
Q05
MatrixRequired
How much did the program improve each of the following skills?
5 rows × 5 columns
- Writing effective prompts to get useful AI output
- Choosing the right AI tool for a given task
- Verifying and fact-checking AI-generated content
- Integrating AI into your existing workflows
- Understanding ethical and responsible use guidelines
Columns: Not improved · Slightly improved · Moderately improved · Significantly improved · Not applicable to me
Q06
Multiple ChoiceRequired
In the last 30 days, how often have you used skills from this program in your actual work tasks?
- Not at all
- Once or twice
- About weekly
- Several times a week
- Daily
Q07
Rating ScaleRequired
Overall, how would you rate the quality of the AI upskilling program?
Range: 1 – 5
Min:PoorMax:Excellent
Q08
Best–Worst Trade-off (MaxDiff)
Which of these topics would be most and least valuable to emphasize in future AI training?
- Prompt engineering fundamentals
- Selecting the right AI tool for the task
- Verifying and fact-checking AI outputs
- Integrating AI into daily workflows
- Data privacy and responsible use
- Advanced or technical AI applications
- Hands-on practice with real work scenarios
Pick best & worst per setBest:Most valuable for future trainingWorst:Least valuable for future training
Q09
AI Interview
Reconstruct a specific, concrete example of the respondent using an AI skill from this program in their actual work in the last 30 days — what the task was, what they did, and what the outcome was. If they said they've used it 'not at all', probe what's stopping them: forgotten skills, no relevant use case, lack of tool access, or lack of confidence. Anchor follow-ups on their stated confidence change and their frequency-of-use answer.
Q10
Opinion ScaleRequired
How likely are you to recommend this AI upskilling program to a colleague in a similar role?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q11
Multiple Choice
Which best describes your role or department?
- (Replace with Department A)
- (Replace with Department B)
- (Replace with Department C)
- Prefer not to say
Q12
Multiple Choice
How long have you been with the organization?
- Less than 6 months
- 6 months to 2 years
- 2 to 5 years
- 5+ years
- Prefer not to say
Q13
Message
That's everything — thank you! Your responses feed into a report on how well this program is changing day-to-day AI use, shared with the training team.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
Why this template
What this template is built to do — we found no directly comparable template from other survey tools to review.
What sets it apart
- Pairs before/after confidence ratings with a skills matrix so L&D teams can quantify perceived skill gains by area, not just overall satisfaction
- Includes an AI follow-up interview that reconstructs a specific, concrete example of the participant applying an AI skill on the job — surfacing real skill transfer instead of self-reported intent
- Uses a max-diff exercise to prioritize which topics to emphasize in future cohorts, giving program owners actionable curriculum direction
- Combines usage frequency, recommendation likelihood, and role/tenure segmentation questions with an auto-generated report, so evaluation and stakeholder reporting are built in rather than a separate step
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.