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The artifact that decides interviews

A two-page candidate dossier. Generated automatically. Read in five minutes.

Each skill labelled verified, AI-extracted or self-reported, with the projects it appears in — what a hiring manager reads instead of a first call.

Not Another Job Platform.

A hiring team comparing candidates around a table
What's in it

Six sections, two pages, no padding

Every Decision Pack has the same structure. The data comes from the candidate's profile, the AI extraction, and (optionally) their professor's endorsement. Nothing the candidate writes themselves.

01

Verified skill list

Skills extracted by discipline-aware AI across 15 fields — code parsed differently from a thesis, design files differently from a business case. Each skill is listed with the projects it came from and a verification tier: Verified, AI-extracted or Self-reported.

02

Grades in context

Each grade is shown as awarded, with the scale it was marked on and its pass mark — so a recruiter abroad can read it without decoding a foreign grading system.

03

Institutional context

Program name, tutor, stage company, completion year. The institutional grounding that anchors the rest of the document.

04

Soft skills from project work (optional)

Soft skills the AI named while reading the candidate's projects, each one tied to the projects it was read from. Nothing self-assessed, and no personality or psychometric test is involved. Present only when a project analysis has produced them.

05

Fit signal, with its inputs

A hand-weighted score built from the candidate's own record — verified projects, professor endorsements, project analysis scores, stated skill gaps and field of study — with the factors that moved it listed, each with its contribution. The weights are set by hand, never fitted to data or tested against hiring outcomes, so it is not a probability that anyone will be hired; where a candidate has no record yet, it falls back to default values.

06

Endorsement badge (optional)

If a professor has endorsed the project: the professor's name, the project, plus their rating and comment if they left them. A bonus trust signal — never required.

Live preview

This is what the Decision Pack actually looks like

Synthetic candidate, real component. The same React layout that renders for a real shortlisted profile — verified skill badges, top-project scoring, endorsement quote, and the factors behind the evidence.

Sofia Conti

Emergency medicine track, hospital-data thesis

Università degli Studi di MilanoMD, Medicine and Surgery (6-year)

Verified Profile

4/4 projects verified

Verified Skills

Clinical reasoning

3 evidence sources

Advanced

Statistical analysis (R)

2 evidence sources

Advanced

Hospital protocol design

2 evidence sources

Intermediate

Medical English

2 evidence sources

Advanced

Top Project

Triage protocol redesign for ED throughput — Niguarda Hospital

Grade: 110 cum laude / 110

VERIFIED

110 cum laude / 110

Grade

1

Endorsements

3

Verified skills

Sofia ran the protocol pilot end-to-end. The follow-up data she produced is now being used to inform the regional triage standard.

Prof. Marco Bianchi

What the evidence supports

Verified clinical exposure: 4 of 4 hospital rotations independently signed off by attending physicians.

Quantitative rigor: Thesis includes regression analysis on 8,400 ED admissions.

Endorsement quality: Endorsement cites measurable impact on regional protocol, not attendance.

Who reads a Decision Pack

Different reader, same document

The Decision Pack works because it's the same artifact for everyone in the hiring chain. The recruiter shortlists. The hiring manager decides. The candidate prepares. Nobody is reading a different version.

Talent acquisition

Generates the Decision Pack from the shortlist, sends to the hiring manager, attaches to the ATS ticket, archives in the audit log.

Hiring manager

Reads the Decision Pack in five minutes before deciding whether to schedule an interview. Checks which projects each skill came from to verify what matters.

The candidate

Reads their own Decision Pack to understand what an outside observer sees in their work. Often the first time they see themselves framed by an external system.

Career services tutor

Pulls a student's Decision Pack before a recruiter call to coach the conversation. Sends it to the student to read before the call.

Speed

Generated automatically. Available the day a profile is complete.

There is no waiting for a Decision Pack. The moment a candidate has uploaded their projects and the AI extraction has run, the Decision Pack exists. A recruiter generates one in a click. Export to PDF, send to anyone.

Read what a hiring decision looks like.

Search on verified skills, open a candidate's Decision Pack, and see which project each skill in it came from.