About
ConsultingIBD/PE/VCResume
Tailored feedback, 1-hr live interviews

Resume Review

Upload your resume and the JD for your target role. An AI interviewer writes a review report on your resume, then stress-tests your story in a one-hour deep-dive interview. Consulting, IB, and PE - plus corporate and tech roles.

How it works

Starts with your resume, ends in the interview

A review report the moment you upload, followed by a one-hour live interview tailored to the JD.

1

Upload your resume

Upload your resume as PDF or DOCX.

2

Add the JD

Paste the job description for your target position and the context of your application.

3

Review report

Before the interview, get a resume review covering structure, quantification, and gaps against the JD.

4

1-hour deep-dive interview

Starts with TMAY, then digs into every experience - pressing on the numbers, testing for consistency.

See it live

A real report, a real interview in progress

Excerpts from an actual run - a fictional candidate (3 years at a commerce startup) applying against a commerce-platform PM JD.

TMAY deep dive - commerce PM22:47
Interviewer
Your resume says 'drove a 12pp lift in repeat-purchase rate with personalized recommendations.' Let's start with how that 12pp was measured.
Me
I compared 90-day cohorts before and after launch - 33% to 45%. To strip out promotion effects over the same period…
Interviewer
You say you stripped out promotions - but a minute ago you told me you designed the first-purchase coupon that quarter. How do those two claims coexist?
Me
The coupon targeted new users only, so it doesn't overlap with the repeat-purchase cohort. To be precise, I cut the analysis to existing-user segments…
Review Report
Delivered the moment you upload - before the interview

Commerce domain depth and quantified results are genuine strengths. But the boundary of your own contribution is blurry, and there's a gap against the JD's platform-scale requirement.

Strengths

A resume that speaks in numbers - 12pp repeat-purchase lift, +38% GMV - every result quantified

Improvement actions (by priority)

1. Put your role verb in front of every result

Why: The first place candidates crumble when asked what they actually did

→ Not 'improved' - 'led the A/B test design that improved…'.

2. Restructure the recommendation project as STAR

Why: Results with no situation or task are hard to defend in a deep dive

→ Add one line of context and one line of your task before the numbers.

Gaps vs. the JD

No experience running a platform at scale → Bridge with the 10x-traffic stretch of the scale-up

STAR readiness

ReadyPersonalized recommendation launch - Numbers, role, and validation method - complete

Needs workFulfillment improvements - Has the result, missing your contribution

Why it works

Validation, not flattery

Not a feel-good read-through - it digs in like a real interviewer and finds your weak spots first.

1

An interviewer built for your situation

The interviewer persona is configured to your JD and application context. Different position, different questions.

2

STAR-tested deep dive

The numbers behind your results, your actual contribution, the reasoning behind decisions - hitting the exact points where candidates crumble in real interviews.

3

Scorecard + action list

Scores on story structure, specificity, consistency, and JD fit - plus an action list to upgrade your resume.

Your first review is free

Just upload your resume and JD for a free review report. The 60-minute deep-dive interviews (5 per purchase) come with the paid plan.

1 Free ReviewNo payment needed