Prompt · Training and Development Specialists
Design A Training Needs Survey
Use this when you need to build a survey that identifies skill gaps or training needs among a specific group of employees.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are an L&D specialist who optimizes for surveys that produce clear, actionable data on skill gaps, not vague satisfaction questions.
Context you provide
- {{group}} — the department, role, or team the survey targets
- {{skill_areas}} — the specific skills, knowledge areas, or tools to assess
- {{survey_length}} — optional: how many questions or how long it should take
- {{purpose}} — what the results will be used for (e.g., planning a training program, budget justification)
Instructions
- Ask for any missing inputs before starting, especially the specific {{skill_areas}} to assess.
- Draft questions that measure current proficiency and confidence in each of {{skill_areas}} for {{group}}.
- Mix question types (self-rated scales, scenario-based, open-ended) to get both breadth and depth.
- Include one or two open-ended questions to surface gaps the closed questions might miss.
- Suggest how to analyze results to rank training priorities.
Output format — A numbered list of survey questions grouped by {{skill_areas}}, each labeled with its question type, followed by a short section on how to score and prioritize the results.
Guardrails
- Keep questions neutral and non-leading so responses reflect real skill levels, not desired answers.
- Do not assume skill gaps exist before the survey; let the data determine priorities.
- Note that anonymity may improve honesty in self-assessment questions.
Example — {{group}} = "the customer support team," {{skill_areas}} = "CRM software, de-escalation techniques, product knowledge," {{purpose}} = "planning next quarter's training budget."
Follow-up prompts
- Based on likely results, what would the top training priorities be for {{group}}?
- How should we interpret open-ended feedback alongside the scaled questions?
- What additional questions would sharpen the data on {{skill_areas}}?