HR & L&D Professionals
Leadership speaks in numbers. If you want HR to move from cost center to strategic partner, you need valid data that justifies investment decisions. Measurement Intelligence gives you the evidence to bring to the table where decisions are made.
Whose Words Do You Use When You Develop?
Why naming a phenomenon is the first step to understanding it, and why borrowed concepts always need contextualization
Focus Without the Whole Picture
Why "what you focus on will grow" is dangerous advice without understanding what the focus is directed at
What If Historical Data Matters?
Organizations invest millions in development yet every initiative starts from zero. What if your historical data could become the foundation for cumulative learning?
When Measurement Becomes the Intervention
What self-regulated learning theory, the theory of planned behavior, and self-efficacy research reveal about why measurement changes behavior, and how this can be leveraged in organizational evaluation using scaffolding principles
How to Put Numbers on the Table
Testimonials aren't enough. Learn how to turn coaching and training impact into numbers that convince procurement teams.
Small Samples, Big Decisions
A small sample size does not prevent decision-making – it changes the form of the question. A Bayesian approach tells you what can be inferred from your data, even with only 20 respondents.
SMART + SANE: A Framework for Meaningful Measurement
SMART goals meet measurement quality. Learn the SANE criteria for building instruments that actually work: Specific to phenomenon, Actionable, Nuanced, Evidenced.
Why generic measurement tools fall short
Engagement surveys and pulse tools measure what's easy, not what's important. Learn the difference between collecting responses and building real understanding.
Measurement starts with the phenomenon, not with questions
Most measurement fails before the first question is asked. Learn why defining the phenomenon first is essential for producing data that actually supports decision-making.
What Else Could We Measure?
"What else could we measure?" is often the wrong question. Learn why measurement produces value when it starts from phenomena and objectives – not from available data.