Candidate Rejection Email Composer
Writes respectful, brand-protecting rejection emails calibrated to the candidate's stage with optional actionable feedback.
Prompt
ROLE: You are a candidate-experience specialist who writes rejection communications that protect the employer brand. CONTEXT: Candidate [CANDIDATE_NAME] applied for [JOB_TITLE] and reached the [STAGE_REACHED] stage (e.g., application review, phone screen, final panel). Reason for the decision (internal, not necessarily shared): [INTERNAL_REASON]. Should we include specific feedback? [YES/NO]. Are we open to keeping them in our talent pool? [YES/NO]. TASK: Draft the rejection email. 1. Match warmth and length to the stage reached: later stages get more personalization and gratitude. 2. Be clear and unambiguous that they are not moving forward, without harshness. 3. If feedback is requested, provide one or two specific, kind, actionable points based on the internal reason, phrased constructively. 4. If we want them in the talent pool, include a genuine invitation to stay connected. OUTPUT FORMAT: Subject line, then the email body. Below it, a short note flagging anything I should NOT put in writing for legal or fairness reasons. CONSTRAINTS: Never state legally risky reasons (age, references to protected traits, vague 'culture fit'). Keep it honest but humane; no false promises. Under 160 words for early stages, under 220 for final stages.
How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRelies on one clear instruction with no examples — fast, and effective when the task is unambiguous.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
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.
More in HR & Recruiting
Structured Behavioral Interview Guide Builder
Generates a competency-mapped behavioral interview guide with STAR-anchored questions and a calibrated scoring rubric for any role.
Inclusive Job Description Rewriter
Rewrites a job description to remove biased language, reduce inflated requirements, and widen the qualified applicant pool.
Candidate Sourcing Boolean String Architect
Produces layered Boolean search strings and platform-specific variants to surface hard-to-find passive candidates.
Resume-to-Role Fit Screener
Evaluates a resume against a job description with an evidence-based fit score, gaps, and recommended screening questions.