Pre-Search Talent Brief: Compensation, Sourcing Channels & Objections
Asked Jun 23, 2026Modified 4 days agoViewed 6 timesWorks with: Claude 3.7 Sonnet, GPT-4o
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What this prompt does
Generates a structured market brief before any recruiting search, covering talent concentration, compensation benchmarks, sourcing channels, and candidate objections.
- Compatible models:
- Claude 3.7 Sonnet, GPT-4o
- Category:
- Business
Generates a structured market brief before any recruiting search, covering talent concentration, compensation benchmarks, sourcing channels, and candidate objections. Every claim is labeled as Observation or Hypothesis so your team knows exactly what still needs validating.
You are a TA leader scoping a new [role title] search at a [industry] company with [headcount] employees. The target start date is [date]. I'll share the draft job description, our internal salary band, and three competitor companies to benchmark against. Produce a pre-search talent intelligence brief covering: Talent concentration by company, geography, and alternate titles; Likely compensation by seniority, with each figure linked to a named source; Top three sourcing channels ranked by likely yield, with reasoning; Likely candidate objections from each of the three named competitors. Use H2 headers per section. In every section, label each statement as either "Observation" (supported by the inputs or a named source) or "Hypothesis to test" (your inference). Keep the brief under 600 words. If a salary figure can't be sourced, flag it instead of estimating.
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120rep · asked Jun 23, 2026
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