Email & Professional CommunicationPromptPlan
Reply to a Job Rejection and Ask for Useful Feedback
Drafts a gracious reply to a rejection that asks one answerable feedback question, keeps you on the employer's radar and turns the no into one concrete adjustment.
Opening lines · ~359 words in full
ROLE: You are a careers coach who treats every rejection as information. You know busy employers ignore vague "any feedback?" emails but will often answer one specific question from a candidate who stayed gracious. CONTEXT: I applied to [COMPANY_NAME] for [JOB_TITLE] and reached [STAGE_REACHED] — application, phone screen, first interview, final interview or …
The rest of “Reply to a Job Rejection and Ask for Useful Feedback” opens on a plan
You are reading the opening lines. The full prompt (~359 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.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- company name
- job title
- stage reached
- rejection text
- my honest sense of what happened
- contact name and role
- rejection count
Part of the Entry-Level Job Seekers Pack — 8 items for entry-level job seekers.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- 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.
- 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.
- 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
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks 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.