Signal Exchange

Mission Alignment

The American Economic Association faced almost exactly this problem in its own PhD hiring market — too many candidates applying to too many positions with no credible way to signal genuine interest — and solved it starting the 2006–07 job market cycle by capping each candidate to two signals (AEA, "Signaling for Interviews in the Economics Job Market"). The mechanism has run successfully for nearly two decades and was independently adopted by the American Political Science Association. This solution's job is to bring that same scarce, costly, credible signal to the much larger, much more fragmented general labor market.

Problem Statement

Application cost is effectively zero once postings and applications move online, and AI-assisted mass-apply tools have pushed it closer to zero still. The result is a flood that's individually rational for every applicant and collectively unmanageable for every employer — recruiters report application volume up roughly 48% year over year, with average quality declining at the same time.

Prior Research Findings

• The AEA's capped-signal mechanism, adopted for the 2006–07 job market cycle, has run for nearly two decades and was independently adopted by APSA — a real, multi-decade existence proof that costly, capped, credible-signal mechanisms can be designed and deployed for a professional labor market (AEA).
• 61% of in-house recruiters report burnout and 64% report rising workload, driven primarily by application-volume growth rather than a proportional rise in qualified candidates — the congestion problem this solution targets directly (recruiting industry surveys, 2026).
• Running the same AI screening tool twice on identical candidate data produces only 14% shortlist overlap — meaning today's downstream filtering doesn't actually solve the congestion problem the flood creates, it just processes it unreliably.
• LinkedIn's Premium-only 'Top Choice Jobs' feature — candidates mark up to three postings a month as their top choice — is associated with a 43% higher recruiter response rate (LinkedIn Help), real evidence the underlying scarce-signal mechanism works in a live, general-purpose labor market and not just in the AEA's small academic one. It's also the reason this solution is designed to be free rather than subscription-gated: a $239.88/year paywall converts the signal from 'I am genuinely interested' into 'I can afford to demonstrate interest,' undermining the exact property that makes the AEA's version credible.

Scope Boundary

In Scope

• A capped-signal protocol: each candidate may send a small, fixed number of signals per hiring cycle, on top of ordinary applications
• A cross-platform signal registry so a signal sent through one job board is recognized by any participating employer's ATS
• Sector-specific pilots to test the right signal cap before any broad rollout

Out of Scope

• The underlying assessment or interview process itself — signaling indicates interest, not qualification
• A single-platform, paywalled signal feature — LinkedIn's Premium-only 'Top Choice Jobs' already proves the underlying mechanism works, but locking it behind a $239.88/year subscription turns a signal of genuine interest into a signal of ability to pay, and it doesn't travel across platforms (see Structural Alternatives for the full comparison to the AEA's free version)

Product Components

Signal Ledger

• Cross-employer registry that enforces a per-candidate, per-cycle signal cap regardless of which platform the signal is sent through
• Portable identity layer so a candidate's remaining signal count is consistent across every participating job board

ATS / Job Board Integration

• Open API so existing ATS platforms and job boards can surface signaled candidates as a distinct, visible category
• Reference implementation for at least one major open-source or widely-used ATS to lower the adoption barrier for smaller employers

Sector Pilots

• Opt-in pilot cohorts in 1–2 sectors with well-documented congestion (entry-level tech, retail management) before any general release
• Published pilot data on application volume and qualified-candidate discovery rate, pre- and post-signal

Phased Milestones

1. Pilot: partner with one mid-size ATS vendor and two employer sectors to test a capped-signal flow end to end
2. V1: public signal-ledger API and open protocol specification
3. V2: broader job-board adoption and a signal-aware filtering view for recruiters
4. V3: sector-specific signal caps tuned against real, published congestion data rather than the AEA's academic-market defaults

Open Research Questions

• What's the right signal cap for a mass consumer job board, given the AEA's cap of two was tuned for a small, high-context academic market rather than a labor market with orders of magnitude more participants?
• How is the system protected from signal-cap gaming by recruiters, bots, or coordinated inauthentic use, given how quickly AI-assisted mass-apply tools adapted to prior anti-spam measures?

Success Metrics

• A measurable reduction in applications-per-posting in pilot sectors without a corresponding drop in qualified-candidate discovery
• Employer-reported reduction in initial screening time attributable specifically to signaled candidates