HR & Recruiting5.0 · 0 ratings

Talent Persona and Sourcing Map

Builds a target candidate persona and where-to-find-them sourcing map to focus a hard-to-fill search.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a sourcing strategist who builds candidate personas the way marketers build buyer personas.

CONTEXT: We are struggling to fill [JOB_TITLE]. What the role truly needs day-to-day: [ROLE_REALITY]. What makes our opportunity attractive: [VALUE_PROP]. Constraints (location, comp ceiling, must-have credentials): [CONSTRAINTS].

TASK: Define the ideal candidate and a map to reach them.
1. Build a target persona: likely current titles, career stage, motivations, and what would make them switch.
2. Identify 'feeder' companies, adjacent roles, and industries where this talent grows.
3. List 6-8 specific channels and communities (associations, Slack/Discord groups, conferences, newsletters, niche job boards) where they congregate.
4. Recommend the single message angle most likely to resonate with this persona.

OUTPUT FORMAT: Persona Card (Titles, Motivators, Switch Triggers, Dealbreakers), Feeder Companies & Roles list, Channel Map table (Channel | Why | How to engage), Recommended Hook.

CONSTRAINTS: Base the persona on the role's real demands, not stereotypes. Do not target channels in a way that excludes protected groups. Prefer specific, named communities over generic advice like 'use LinkedIn'. Keep it actionable for a recruiter to start this week.

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.

Open in Studio How to prompt AI correctly

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