About
Crosschq is an enterprise-grade Hiring Intelligence Platform designed for talent acquisition leaders who need to move beyond gut instinct and make data-driven hiring decisions. At its core, Crosschq quantifies Quality of Hire (QoH) — giving HR teams a measurable, benchmarkable score for post-hire outcomes. The platform encompasses a full suite of AI-powered tools: Quin, an AI co-pilot that lets users chat with their hiring data for real-time insights; Recruiting Analytics for visualizing pipeline performance; Match for accelerated resume review; Interview for AI-driven structured interviews and interview intelligence; 360 for automating reference checks and turning them into structured insight; and Fraud for spotting candidate discrepancies and verifying identities. Crosschq integrates seamlessly with leading ATS and HCM platforms including Workday, SAP, Greenhouse, iCIMS, and Oracle, fitting naturally into existing workflows. The platform's QoH Index benchmarks organizations against industry peers, helping talent teams identify what top-performing companies do differently. Whether you're a mid-market recruiter trying to reduce mis-hires or an enterprise TA leader seeking board-level ROI metrics on talent, Crosschq provides the analytics infrastructure to continuously improve hiring quality at scale.
Key Features
- Quality of Hire (QoH) Measurement: Assigns a quantifiable score to post-hire outcomes, allowing talent teams to benchmark their hiring quality against industry peers and track improvement over time.
- Quin AI Co-Pilot: The world's first AI built for TA Analytics — lets talent leaders chat with their hiring data to get real-time answers to complex, multi-layered recruiting questions instantly.
- Automated 360 Reference Checks: Transforms manual reference checks into automated, structured data collection, surfacing actionable insights about candidates faster and more consistently.
- Candidate Fraud Detection & ID Verification: Identifies discrepancies and risk signals in candidate profiles and verifies identities with secure ID verification to protect organizations from hiring fraud.
- ATS & HCM Integrations: Native integrations with Workday, SAP, Greenhouse, iCIMS, and Oracle ensure Crosschq fits seamlessly into existing HR tech stacks without disrupting workflows.
Use Cases
- An enterprise HR team uses Crosschq to benchmark Quality of Hire scores across departments and identify which hiring sources and interviewers consistently produce top performers.
- A talent acquisition leader uses Quin to instantly answer board-level questions about recruiting ROI and time-to-fill trends without waiting for a data analyst to pull reports.
- A high-volume recruiter automates reference checks with Crosschq 360, cutting reference completion time from days to hours and surfacing red flags before extending offers.
- A large organization uses Crosschq Fraud Detection to identify resume discrepancies and verify candidate identities, reducing the risk of fraudulent hires in sensitive roles.
- An HR operations team integrates Crosschq with Workday to sync hiring data bidirectionally, enabling real-time recruiting analytics and Quality of Hire reporting within existing workflows.
Pros
- End-to-End Hiring Intelligence: Covers the full hiring lifecycle — from resume review and interviews to reference checks, fraud detection, and post-hire outcome measurement — in a single platform.
- Actionable AI-Driven Analytics: Quin AI enables non-technical HR professionals to ask complex data questions in plain language and receive instant, data-backed insights without needing a data analyst.
- Strong Enterprise Integrations: Deep integrations with major ATS and HCM systems mean minimal disruption to existing workflows and rapid time-to-value for large organizations.
- Industry Benchmarking via QoH Index: The publicly available QoH Index lets organizations compare their hiring quality scores against peers, creating competitive motivation for improvement.
Cons
- Enterprise-Focused Pricing: The platform appears built for mid-market to enterprise organizations, making it potentially cost-prohibitive or over-engineered for small businesses or startups.
- Steep Learning Curve: With a broad suite of products spanning analytics, AI, fraud detection, and reference checks, new users may require significant onboarding time to leverage the full platform.
- Limited Transparency on Pricing: No public pricing is available on the website; potential customers must book a demo to learn about costs, which can slow evaluation for budget-conscious teams.
Frequently Asked Questions
Quality of Hire (QoH) is a metric that quantifies how well a new hire performs and fits within the organization post-hire. Crosschq measures it by combining performance data, retention signals, and hiring process data into a single benchmark score, allowing organizations to track and improve outcomes over time.
Quin is Crosschq's AI co-pilot for Talent Acquisition Analytics. It allows recruiters and TA leaders to ask complex, multi-layered hiring questions in plain language and receive real-time AI-driven answers and insights — no SQL or data analysis skills required.
Crosschq offers native integrations with major platforms including Workday, SAP, Greenhouse, iCIMS, and Oracle, along with additional partners available through its integration ecosystem.
Crosschq's 360 product digitizes and automates the reference check process by sending structured surveys to references, collecting consistent data, and transforming responses into actionable hiring insights — reducing manual effort and improving data quality.
Crosschq is primarily designed for mid-market and enterprise talent acquisition teams that handle significant hiring volumes. Small businesses may find the platform's breadth and likely price point more than needed for their scale.