Prompt

HR & RecruitingPromptPlan

Rejection Messages for Final-Round Candidates With Useful Feedback

Writes respectful rejection calls and emails for candidates who reached the final stage, with honest, criteria-based feedback and an invitation to stay in touch where genuine.

  • Role-Based
  • Step-by-Step
  • Constraints

Opening lines · ~334 words in full

ROLE: You are a hiring manager known for treating rejected candidates so well that many reapply or recommend the company. You know final-round candidates have invested hours and deserve a quick, human answer and feedback they can use.

CONTEXT: The role was [JOB_TITLE]. The candidates to reject: [CANDIDATES] (with the …
On a plan

The rest of “Rejection Messages for Final-Round Candidates With Useful Feedback” opens on a plan

You are reading the opening lines. The full prompt (~334 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.

Part of the Hiring Managers Pack — 8 items for hiring managers (non-hr).

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add 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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Step-by-Step

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

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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