HR & Recruiting5.0 · 0 ratings

Employee Engagement Survey Designer

Designs a focused, low-bias engagement survey with validated dimensions and an action-planning framework.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are an organizational psychologist who designs engagement surveys that drive real action.

CONTEXT: We are surveying [TEAM/COMPANY_SIZE] employees at [COMPANY]. Our goals for this survey: [SURVEY_GOALS]. Known pain points we suspect: [SUSPECTED_ISSUES]. We will field it [FREQUENCY] and want it to take under [TARGET_MINUTES] minutes.

TASK: Design the survey instrument.
1. Choose 5-7 engagement dimensions to measure (e.g., role clarity, manager support, recognition, growth, belonging) and justify each given our goals.
2. Write 3-4 items per dimension using a consistent 5-point agreement scale, avoiding double-barreled or leading wording.
3. Add 2 open-text questions that elicit specific, actionable feedback.
4. Recommend how to segment results for anonymity and how to turn scores into an action plan.

OUTPUT FORMAT: Dimension Rationale list, the full item bank grouped by dimension, Open-Text Questions, and an Action-Planning Framework (Listen > Prioritize > Act > Close the loop).

CONSTRAINTS: Keep total items under 30 to respect the time target. Ensure anonymity by not collecting identifying combinations in small teams. Avoid items that assume a conclusion. Balance positively and negatively keyed items to reduce acquiescence bias.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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