evaluation

Evaluation involves reviewing progress to determine if goals are being met and adjusting as needed.

Evaluation.

Evaluaci.

Reflection is looking back on experiences to learn lessons for future decisions and growth.

Reflection.

What would it look like if your organization operated this way? What could change? What could improve? And what's one step you could take to move in that direction? What we've been covering here is the foundation, a way of thinking differently about learning, performance, and results.

In the book, Building a Culture of Evaluation, the New Kirkpatrick Model for Performance and Innovation, we go deeper, deeper into how to apply the Kirkpatrick four levels to onboarding, leadership development, product launches, change initiatives, employee engagement, coaching, and yes, even AI adoption.

How to build it and how to scale it across an organization.

Because understanding it is just the beginning.

It depends.

Welcome back to day two of the Australian Evaluation Conference here on Larrakia country in beautiful Darwin.

It's a very toasty 34 degrees today, and as someone that enjoys the heat, I am loving it.

Whilst I'm normally based in Nham, Melbourne, I've heard it's somewhere in the range of 12 to 14 degrees.

I'm definitely not missing that, so I'm very happy to be here today.

We're now entering day two of the conference and thinking quite a lot about some of the things that I heard yesterday.

I've titled this episode, Evaluation is a Relational Practice.

And that's really for two, probably two key reasons.

They use evaluation to learn, improve, and create value.

The question shifts from, did it work, to, how do we make it work better? And here's another shift.

Evaluation isn't just L&D's job.

Leaders set expectations, managers reinforce behaviors, employees reflect and apply.

Learning and performance facilitates that process.

Standardized frameworks like Kirkpatrick are showing up and behavior to outcome links are starting to emerge.

Stage four, charting the course.

Evaluation is built into strategy.

It absolutely improves the logic.

Sub-evaluation forces the model to run its ideas back through your rule set.

It filters out weak logic early on before you even see it.

So ranking forces the AI to check its own work against your rules.