Q01
Message
All templatesEducation & Academic
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
Frequently asked questions
What questions are in the “AI Upskilling Program Impact & Skill Transfer Survey” template?
The template includes 13 ready-to-use questions, starting with: “Thanks for taking a few minutes to reflect on the AI upskilling program you completed! This helps us improve it for futu…” · “Which AI upskilling program or track did you complete?” · “Before this program, how confident were you using AI tools (e.g., generative AI assistants) in your daily work?”. The full set is previewed above, and every question is editable.
How long does this survey take to complete?
Respondents typically finish the 13 questions in about 7 minutes.
Can I customize this template?
Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.
Is this template free to use?
Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies on similar topics.
Education & Academic
Student Wellbeing and Academic Stress Survey
Measures student stress levels, workload, sleep habits, and use of mental health support, then identifies the biggest barriers keeping students from asking for help. Built for student affairs, wellness centers, and academic advisors; the AI follow-up reconstructs a specific recent moment a student needed support but didn't seek it, and what would have changed that.
View templateEducation & Academic
Training Program Effectiveness & Satisfaction Survey
Evaluates how well a training program delivered on content quality, instructor effectiveness, and real-world applicability, including a best-worst trade-off on what matters most in future sessions. An AI follow-up interview digs into whether participants have actually used the skills on the job and what got in the way if not. Built for L&D teams and training providers assessing course impact.
View templateEducation & Academic
Post-Training Session Feedback & Impact Survey
Captures how a training session landed — content quality, trainer effectiveness, and confidence applying new skills — for L&D teams and instructors. An AI follow-up interview digs into the real story behind the recommendation score: what specifically helped or blocked people from using what they learned.
View templateEducation & Academic
Train-the-Trainer Program Effectiveness Survey
Evaluates whether a train-the-trainer program actually builds facilitation skill and gets used back on the job — covering content relevance, confidence delivering sessions, and skill transfer. An AI follow-up interview reconstructs a real training session the respondent led afterward, not just their impression of the course.
View templateEducation & Academic
Employee Training Program Effectiveness Survey
Measures whether recent training actually changed what employees can do on the job — covering content quality, format preferences, and topic priorities — with an AI follow-up that digs into the real reasons behind low preparedness scores instead of settling for a number.
View templateEducation & Academic
Healthcare Career Training & Development Impact Survey
Assesses how well career training and development programs serve clinical and clinical-support staff — what's completed, how confident staff feel applying new skills, and what's blocking follow-through. The AI follow-up interview digs into a real recent attempt to use training on the job, surfacing gaps generic satisfaction scores miss.
View template