Cross Solution Insights
These resources address decision quality across Capability, Clinical, Performance, and Career & Succession contexts.
They focus on how talent decisions are structured, evidenced, governed — and increasingly, how AI interacts with those decisions.
Solution Based Resources
Decision Quality Foundations
Foundational principles that apply regardless of technology.
Meritocracy & Better Talent Decisions
Why structured criteria matter more than individual judgement. Read More
Defining criteria for Talent Decisions
What criteria should be used and how Read More
Measurement and Verification
How to get valid verified information for talent decisions – Read More
Bias in Assessments: Risks and Mitigation
Common cognitive and structural distortions in evaluating people. Read More
Critical Thinking in Talent Decisions
A structured approach to evaluating claims, outputs, and evidence. Read More or Download critical thinking competency example
AI & Decision Quality
AI & Decision Quality in Talent Systems
A structured overview of AI architecture, risk, governance, and decision boundaries. View Guide
Automation vs Generative AI: What “AI” Actually Means in HR Systems
Distinguishing rule-based automation, machine learning, and large language models. Read Article
AI in Competency Management: What to Automate, What to Govern, What to Avoid
Practical guidance on integrating AI without eroding defensibility. (Video)
AI Risk & Governance Briefing (with Downloadable Guide)
Structured risk identification and governance safeguards for talent systems. Read More or Download Guide
Featured Resource
Meritocracy and Better Talent Decisions
Why “merit-based” often means proxy-based — and how better evidence improves promotion, development, and succession decisions.