Reports & Frameworks for Talent Acquisition
Explore our collection of data-backed guides and benchmarks — built to help talent acquisition leaders scale hiring, improve quality, and align with business strategy.
Quality of Hire Maturity Model
Benchmark where your organisation stands on the Quality of Hire journey and understand what best-in-class hiring looks like.
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15 Key RFP Questions
A structured framework to evaluate RPO and embedded recruitment providers on delivery, governance, technology, cost, and compliance.
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Hiring AI, ML & Engineering Talent
Data-backed insights on market availability, global frameworks, team structure playbooks, and compensation benchmarks for technical talent.
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Engineering Compensation Guide
Real offer data and budget planning tools for AI, ML, infrastructure, and full-stack engineering roles across global markets.
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Successful High-Growth Hiring
How three companies — Almedia, Civica, and incident.io — used embedded RPO to scale hiring at pace without compromising on quality.
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Best-in-Class RPO RFP Answers
15 critical questions with side-by-side standard vs best-in-class answers and red flags — built from real RFPs by leading tech companies.
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Embedded RPO for AI & ML Hiring
Why traditional recruitment models fail for specialist AI and ML roles — and how embedded RPO delivers the speed, expertise, and cost efficiency to compete.
View resourceTop 5 Considerations for International Hiring
A practical checklist covering operational fit, regional talent pools, compensation dynamics, retention norms, and stakeholder alignment for global expansion.
View resourceWhere to Hire AI/ML Talent in 2026
Five critical questions to ask before choosing your next technical talent market — covering role definition, compensation, market dynamics, and retention.
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