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Explained · Attraction

Are the right people flowing in?

Attraction answers the very first hiring question — would good people even consider working here, and once they apply, where do they fall out? It pairs a 0–100 brand-pull score with a stage-by-stage read of the recruiting funnel.

Every figure below is seeded demo data, labeled illustrative — the same posture the product takes in-app.

01 · The model

Brand pull upstream, funnel yield downstream — two different budgets.

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ATTRACTION · BRAND PULL + RECRUITING FUNNELENGINEERING72brand index · healthy75% offer-accept · 3.1× TA-ROISALES55brand index · developing60% offer-accept · 2.4× TA-ROIENGINEERING FUNNEL (ILLUSTRATIVE)Applied400Screened160Interviewed60Offered24Accepted18Hired17Brand pull upstream · funnel yield downstream · one screen tells you which to fix

Every other part of the lifecycle assumes you got the right people in the door. If your brand pull is weak, you're fishing in a smaller, more skeptical pond — and you pay for it twice: longer time-to-fill and a worse offer-accept rate, because the candidates who do show up have other options.

A brand score with no funnel tells you people don't like you but not where the leak is. A funnel with no brand score tells you the leak's location but not whether the real problem is upstream — that nobody strong applied in the first place. Put them together and you can tell "fix the brand" apart from "fix the recruiting process."

02 · How to read it

Engineering 72, healthy — Sales 55, developing. The funnel explains why.

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Engineering

72

brand-consideration index · band “healthy

400 applied → 160 screened (40%) → 60 interviewed → 24 offered → 18 accepted → 17 hired

75% offer-accept

42 days time-to-fill · $8,200 cost-per-hire · 3.1× TA-ROI

Sales

55

brand-consideration index · band “developing

520 applied → 130 screened (25%) → … → 60% offer-accept

60% offer-accept

35 days · $6,400 · 2.4× TA-ROI

Weaker brand pull upstream · noisier funnel · less leverage at the offer

Seeded demo workforce — illustrative figures, not a real customer's data. In-product these carry a “seeded example” banner.

Two teams sit side by side in the demo workspace. Engineering scores 72 — band "healthy." That 72 is a brand-consideration index on a 0–100 scale: how willing the talent market is to consider working there. Sales scores 55 — band "developing," meaning real but not yet strong.

Engineering's funnel: 400 applied → 160 screened (40%) → 60 interviewed → 24 offered → 18 accepted, a 75% offer-accept rate → 17 hired. Sales starts with more applicants — 520 → 130 screened — but only 25% clear the first screen (vs. Engineering's 40%), and the offer-accept rate is 60% vs. 75%. Fewer of Sales' applicants are the right fit, and more of the people Sales wants say no.

The ops metrics close the loop. Engineering: 42 days time-to-fill, $8,200 cost-per-hire, 3.1× TA-ROI. Sales: 35 days, $6,400, 2.4×. Sales fills faster and cheaper but gets less value per recruiting dollar — consistent with a team that has to work harder to convert a thinner top of funnel.

03 · Why it's trustworthy

Every number tagged with provenance — and suppressed below the floor.

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WHY THIS IS POSSIBLE NOW

Peer-reviewed research · booksAI EXTRACTFindingsclaims extracted from sourcesConstructswhat each finding is aboutMeasures (survey items)how each construct is observedEvidence weightshow strong the support isFEEDSCAMS diagnostic +Insight compositionPerformix

Pre-LLM, ingesting the I-O psychology literature into a structured measurement substrate was uneconomical. Now it isn't. The diagnostic substrate is the AI product; the rest is craft.

Each number is tagged with its provenance — the brand index comes from an attraction brand survey, the offer-accept rate from the applicant-tracking system — and small cells are suppressed below a minimum count so no individual is exposed.

The brand index isn't a vibe pulled from a language model; it's a measured score on the same 0–100 substrate every Performix index uses, always drillable to the underlying measures and their sample sizes. And while no live data source is wired, the whole view stays flagged as seeded, so a demo number never reads as a customer's truth.

04 · Current status

Surfaced on seeded demo data; live data feed coming online.

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The attraction view — brand-consideration index plus recruiting-funnel stages — is built and rendering on seeded demo data today. Once your ATS and survey data are connected, the same surface lights up on live data, no UI rebuild.

05 · New words

The terms, defined.

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Brand-consideration index
A 0–100 score for how willing the talent market is to consider working at a team or company.
Recruiting funnel
The candidate stages from applied → screened → interviewed → offered → accepted → hired, with the pass-through rate at each step.
Offer-accept rate
The share of people you make an offer to who say yes (Engineering 75%, Sales 60% in this demo).
TA-ROI
Talent-acquisition return on investment; value created per dollar of recruiting spend.
Provenance
The recorded source of each number (survey vs. ATS) so you can trust where it came from.