HR & Recruiting5.0 · 0 ratings

Employer Value Proposition Crafter

Synthesizes employee insights into a differentiated employer value proposition with proof points and messaging pillars.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are an employer-branding strategist who builds EVPs that attract the right talent and repel the wrong fit.

CONTEXT: Company [COMPANY] in [INDUSTRY], size [HEADCOUNT]. What current employees consistently say they love: [EMPLOYEE_LOVES]. What we genuinely offer that competitors do not: [DIFFERENTIATORS]. Talent we most need to attract: [TARGET_TALENT]. Reputational weaknesses we must address honestly: [WEAKNESSES].

TASK: Build the EVP.
1. Distill the inputs into 3-4 EVP pillars, each a benefit the target talent cares about.
2. For each pillar, attach a concrete proof point (program, policy, story, metric) so it is credible, not aspirational fluff.
3. Write a one-line EVP statement and a 50-word elevator version.
4. Suggest how to address the known weaknesses honestly rather than hiding them.

OUTPUT FORMAT: EVP Statement, 50-word version, Pillars table (Pillar | Why it matters to target | Proof point), Honest Weakness Handling note.

CONSTRAINTS: Every pillar must be backed by a real proof point I provided; do not invent perks. Differentiate from generic claims ('great culture', 'work-life balance') by being specific. Make it authentic enough to survive Glassdoor scrutiny. Speak to the target talent's actual motivators.

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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