Q01
Message
All templates
Frontier AI Skills Gap Self-Assessment for Teams
Measures how confident employees feel using frontier AI tools like ChatGPT and Copilot across core workplace skills, where the biggest gaps sit, and what's blocking adoption. An AI follow-up interview digs into the real story behind each person's lowest-confidence skill area, not just the number they picked. Built for HR and L&D teams planning AI training.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
In the last 30 days, how often have you used generative AI tools (e.g., ChatGPT, Copilot, Claude, Gemini) in your day-to-day work?
- Not at all
- A few times
- Weekly
- Daily
- Multiple times a day
Q03
Slider MatrixRequired
How confident do you feel doing each of the following right now?
6 rows, one slider each
- Writing prompts that get useful results on the first or second try
- Judging whether an AI output is accurate before using it
- Fitting AI tools into your existing workflow without extra hassle
- Understanding where AI tools are likely to get things wrong
- Using AI to analyze or summarize data
- +1 more
Slider 0–10Min:No confidenceMax:Complete confidence
Q04
Multiple Choice
Which of the following AI-related training have you received in the past 12 months?
- Formal company-provided training or workshop
- Self-directed learning (courses, videos, articles)
- Peer or manager mentoring
- Vendor or tool-specific onboarding
Q05
Best–Worst Trade-off (MaxDiff)Required
Which of these skill areas most needs development on your team, and which needs it least?
- Writing effective prompts
- Spotting inaccurate or fabricated AI output
- Data privacy and security practices with AI tools
- Automating repetitive tasks with AI
- Using AI for coding or technical work
- Using AI for writing and communication
- Judging when NOT to use AI
- Collaborating across teams on AI-assisted work
Pick best & worst per setBest:Most needs developmentWorst:Least needs development
Q06
Opinion ScaleRequired
How confident are you that your team's overall AI skills will keep pace with how fast the technology is changing?
Scale: 1 – 7
Min:Not at all confidentMax:Extremely confident
Q07
Multiple ChoiceRequired
What is the single biggest thing stopping you from using AI more effectively in your role?
- Lack of training or guidance
- Unclear when AI is appropriate to use
- Not enough time to experiment
- Concerns about data, security, or accuracy
- Limited access to tools or licenses
- Little encouragement from leadership or managers
Q08
AI Interview
Anchor on the skill area where this respondent rated their confidence lowest and the barrier they picked as biggest. Get a concrete, recent example of a moment that gap actually slowed them down or produced a bad outcome, and ask what specific support (training, tool, time, permission) would have closed the gap in that moment. If they say they have no confidence gaps at all, probe whether that's because they genuinely feel prepared or because they simply avoid using AI for anything ambiguous.
Q09
Message
Almost done — just a couple of quick background questions to help us understand patterns across teams.
Q10
Multiple Choice
Which department are you part of?
- Engineering / Product
- Sales / Business Development
- Marketing
- Operations
- Finance
- Human Resources
- Customer Support
- Prefer not to say
Q11
Multiple Choice
How long have you been with the company?
- Less than 1 year
- 1-3 years
- 3-7 years
- More than 7 years
- Prefer not to say
Q12
Multiple Choice
Which best describes your role level?
- Individual contributor
- Team lead / Manager
- Director / Senior leadership
- Executive
- Prefer not to say
Q13
Message
That's everything — thank you for being candid! Your responses, combined with everyone else's, will shape what AI training and support we roll out next, no individual answers will be singled out.
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.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Digs into the story behind each person's lowest-confidence skill area with an AI follow-up interview, not just a static rating
- Uses a slider matrix plus a max-diff exercise to pinpoint which skill gaps matter most on a team, not just a single self-rating scale
- Separates recent AI usage frequency, training received, and adoption blockers so L&D teams can see where confidence, access, and training diverge
- Collects role level, tenure, and department as context so results can be segmented when planning targeted AI training
Jotform
Digital Skills Self-Assessment Form TemplateA static form template for self-rating general digital skills, easy to customize and embed via Jotform's form builder. It covers digital skills broadly rather than frontier AI tools specifically, and it's a fielding-ready form rather than a research instrument with built-in analysis. No mechanism to explore why a respondent rated a skill low.
What it does well
- Simple, quick-to-deploy form builder with drag-and-drop customization
- Broad digital skills framing that's easy to adapt to different audiences
- Established, widely used form platform with integrations
Where it falls short
- Static self-rating only — no adaptive follow-up to understand the reasoning behind low-confidence answers
- Not focused on frontier AI tools (ChatGPT, Copilot) or team-level training planning
- No automated per-response quality scoring or auto-generated report synthesizing themes
QuestionPro
Self evaluation of productivity and quality survey questions + sample questionnaire templateA general employee self-assessment questionnaire centered on productivity and quality rather than AI skills or adoption specifically. It's a broad, adaptable sample question set on an established survey platform, useful as a generic starting point but not tailored to AI skills gaps. Analysis appears to rely on standard survey reporting rather than qualitative follow-up.
What it does well
- Flexible sample question bank covering general performance self-evaluation
- Backed by an established enterprise survey platform with reporting dashboards
- Easy to adapt wording for different self-assessment use cases
Where it falls short
- Not built around frontier AI tool confidence or adoption blockers — requires heavy customization to fit this use case
- No adaptive AI interview to probe the story behind a low self-rating
- No transparent, published methodology for how responses are scored or synthesized
SurveySparrow
Free Soft Skills Assessment QuestionnaireA conversational-style questionnaire focused on soft skills (communication, teamwork, etc.), not AI tool confidence or adoption. It's fielding-ready and benefits from SurveySparrow's chat-like UI, but it doesn't address frontier AI skills gaps or training blockers at all. Useful only as a loosely related template for general skills self-assessment.
What it does well
- Conversational, chat-style question flow that can feel more engaging than a static form
- Exportable to PDF and easy to launch quickly
- Focused specifically on soft-skills competencies with pre-built question sets
Where it falls short
- Entirely soft-skills focused — no coverage of AI tool usage, confidence, or adoption blockers
- No adaptive follow-up interview to explore the reasoning behind a low skill rating
- No automated quality scoring or auto-generated report tailored to AI training planning
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.