How to Engage the Meta-Learning Lab

We help corporations close gaps between organizational goals and its people’s capabilities. Typically we begin with a high-order assessment of the goals and the people. (Call us at 1.510.528.3105 to set up an assessment.)

Our preliminary assessments are more broad than deep. We fear locking into a solution before we’ve examined the situation from multiple viewpoints. Our multidisciplinary team brings expertise in cognitive science, marketing, psychology, business management, design, training, eLearning tech, entrepreneurship, information architecture, knowledge management, performance support, and the social sciences. We use on-site observation and anthropological techniques to come up with a spectrum of viewpoints to review with our client, and to jointly decide whether further engagement with Meta-Learning Lab is justified.


The Meta-Learning Lab has limited resources, and we’re not for everybody. We’re looking for a few good clients. Specifically, we are seeking projects that return a minimum of a million dollars in benefits to their sponsor and also fuel our own research in large-scale performance improvement. We are particularly interested in performance improvement that involves:

meta-learning, which may involve learning to learn, selecting the best mix of learning tools, optimizing timing, deep learning, hard fun, responsive collaboration, leveraging informal learning, and generating enthusiasm

organizational learning process, to include clarifying agendas, accelerating processes, knowledge infrastructure, aligning activity to mission, giving new roles to managers, building learning culture, and unlearning old ways

improving the implementation of learning technology, processes for leveraging technology for optimal learning and performance and applying meta-learning directly to business challenges

The Balcony: What is Meta-Learning?

Looking at the Learning Process

Improving the Learning Process

Leveraging the Learning Process

Meta-Learning Lab Helps Corporations

Engaging the Meta-Learning Lab

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