Score job candidates against key traits and export a report

Reviews each candidate's background against your key hiring traits and writes up a fit score for every one.

How the work actually flows

A straight line. Runs once per each candidate.

Pattern: Sequence (1) ยท Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(("user submits resumes and traits")):::human s0[["evaluate each candidate"]]:::mi s1[["write fit assessment per candidate"]]:::mi s2["flag mismatched candidates"]:::task s3["compile structured report"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"structured candidate fit report"/]:::out pay{{"fair comparison without a week of screening"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepRuns once per itemA personResultPayoff
Build size
Starter

A small build with a couple of connected tools.

Business functions
Reporting & AnalyticsHR & Recruiting
Connects
Google Docs

The problem it solves

You've got a stack of resumes for one role and every candidate looks decent on paper, but comparing them fairly against the traits that actually matter for the job takes real judgment and real time. Writing up notes for each one so the hiring team can compare them side by side eats into your whole week.

Who it fits

A hiring manager or recruiter screening candidates for an open role.

How it works

  1. You provide the candidate resumes and the role's key traits
  2. The system evaluates each candidate against those traits
  3. It writes a fit assessment for every candidate, including strengths and gaps
  4. It flags candidates who aren't a strong match
  5. It compiles everything into a structured report you can share
What you get

Candidates ranked against your key traits

Every candidate on your list gets evaluated against the traits that matter for the role, with strengths, gaps, and a fit score laid out in one report.

What you get

A structured candidate report with individual fit assessments and flagged mismatches.

What you need

A Google Docs account for the report.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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