The 70-20-10 leadership development model is research-based. Learn its origins, evidence, and modern relevance in talent management.
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Talent Management
Our Origin Story: Building an Evidence-Based Talent Management System
Discover how TalentTelligent was built on decades of research to create a talent management system for hiring, development, and coaching.
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Reskilling and Upskilling – What the language implies
Reskilling must go beyond hard skills. Discover why soft skills and attributional qualities determine talent management success.
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Talent Management Practices that Work: A Research Summary
Discover data-driven reskilling and upskilling strategies that build career resilience, boost retention, and future-proof today’s workforce.
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Talent Management Best Practices That Drive Employee Engagement and Business Performance
Research-backed talent management strategies that increase employee engagement, retention, productivity, and profitability.
The Modern Siren: Moral Hazards of AI Coaching
Do professional standards matter when using AI coaching tools? Explore risks, ethical gaps, and how evidence-based solutions protect people.
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Should Talent Management Professionals Care about OpenAI’s Policy Change?
OpenAI’s new policy limits legal and medical advice. What does this mean for AI coaches, hallucination rates, and talent management strategy?
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Intentional Assignments to Build a Leader
Discover how Intentional Assignmentology—strategically matching people to the right assignments—builds bench strength.
Succession Planning with a Short Runway
Build stronger leaders through smart succession planning. Learn how to turn potential into proven bench strength for any-sized organization.
Garbage In, Disaster Out: Why Blind Trust in AI Could Cost You Your Best People and Invite Liabilities
Discover the risks of AI coaching in HR. Learn how blind trust in open AI models can lead to exposure – and why evidence-based data drives safer talent decisions.
