Prompts by industry
Finance resumes are read as claims about numbers, so precision matters more here than phrasing — a portfolio you supported is not a portfolio you managed, and a deal your team closed is not a deal you led. These prompts work from your own deal list, reporting packs, and licensing record, and they ask you for the figure instead of producing one. Everything on this page follows from 2 constraints: confidential and non-public information stays out of a chatbot, and every number you print has to survive a follow-up question about how it was calculated.
Your bullets read like a stack list — SQL, Python, dbt, Tableau — and a hiring manager still cannot tell what anyone did differently because of your work
You are reviewing resume bullets written by a data analyst. Analyst resumes tend to fail the same way: they name the tools used and the artifact produced, and never say what a decision-maker did differently afterward. Move each bullet from tooling to consequence, using only the material I give you.
You know the work mattered, but the only figures you can name are row counts and dashboard views — and those measure effort, not outcome
You are helping a data analyst find the measurable part of their work.
Analyst postings tend to list the same tools, so stack overlap tells you little. You need to know whether this team wants a product analyst, a reporting owner, an analytics engineer or a risk modeler — and which of your work speaks to that
You are comparing a data analyst's resume against one job posting. Analytics postings tend to list the same tools, so stack overlap tells you little. Read for the job underneath the posting.
Your bullets say you built models and ran variance analysis — the work, not what it changed. Use this when a reader could not tell from your resume what any of that analysis decided
You are reviewing resume bullets written by a financial analyst. Work only from what I paste. Do not add employers, systems, figures, or outcomes I have not given you.
Any number on a finance resume can turn into "walk me through that" in the interview. Use this before you send the resume, and again the night before you interview
Act as a hiring manager for a financial analyst role who reads a resume with one habit: every number gets a follow-up question.
You do the work every month and none of it reaches the page — the close, the reconciliations, the recurring reporting. Use this when you have a checklist but no bullets yet
I am a financial analyst building the experience section of my resume from my real work rather than from a job description.
You are staring at an empty page and want the AI to pull the material out of you before it drafts anything
You are helping me build the first draft of my resume. Do not write any resume content yet.
Your bullets read like the job description you were handed rather than what changed because you were there
You are helping me rewrite resume bullets for one role.
When your bullets describe real work but read flat and you cannot tell which lines are missing a number
Here are resume bullets I wrote about work I actually did:
Your resume is finished and the block at the top of the page is still blank
You are helping me write the summary block at the top of my resume. My full resume is below.
Before you decide whether a posting is worth applying to, or what your cover letter has to account for
You are reviewing my resume against one job posting. Do not rewrite anything yet.
You have found a posting worth applying to and want to know what it actually asks for before you open your resume
You are a hiring analyst. Below is a job posting I am applying to.
A chat window returns text. Paste it here and it opens in the editor, where 32 templates turn it into an interview-ready PDF. Free, no signup, and your draft stays in your browser.
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