Checkr vs Workable
Side-by-side trajectory, velocity, and editorial themes.
Checkr builds identity verification into a product line and speeds its core screens
Checkr's releases split cleanly into two arcs: standing up identity verification (IDV) as its own product — self-serve ordering, re-verifications, following the December 2025 domestic launch — and making core background checks faster and more controllable (Instant Database, individual-search cancellation, smarter document collection).
IDV is being productized deliberately: launched, then opened to self-serve, then extended with re-verifications, framed around hiring-fraud mitigation. In parallel, Checkr is compressing turnaround on employment and criminal screens and giving customers finer control over in-flight reports. New report types like PSP extend the catalog into regulated verticals.
Expect IDV to keep accruing options — more geographies and re-verification triggers — while automation like Instant Database expands to cover more of the verification pipeline.
An agentic recruiter up top, a deepening analytics stack underneath
Workable is running two plays at once: an agentic layer that works the top of the hiring funnel, and a steady buildout of reporting depth across recruiting and HR. The Workable Agent is now generally available and moved to per-candidate credit pricing, while a run of new reports (offer funnels, headcount evolution, attendance) turn lifecycle data the platform already holds into decision views.
The center of gravity is shifting from ATS-of-record toward an outcome layer that both acts (the Agent sourcing and screening) and measures (funnel and headcount analytics). Recent releases lean heavily on the Enterprise reporting surface — shared custom reports, a widget builder, offer datasets — suggesting Workable wants analytics to be a paid differentiator, not a checkbox. The SEEK Profile tie-in and the MCP server point to a product that increasingly pulls in outside data and outside tools.
Expect the Agent's credit model to expand deeper into the funnel (scheduling, later-stage screening) and the Enterprise reporting datasets to keep growing, given the cadence of report-builder additions in the entries shown.
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