Get Certified in Predictive Behavioural Design
This structured learning journey comprises three interlinked modules—ranging from Predictive Behavioural Analytics to Behavioural Design and culminating in the strategic application of these methods within the CLIMB™ Masterclass.
By successfully completing all three trainings, you will be awarded the Predictive Behavioural Designer Certificate — a qualification in data-driven, behaviourally informed change management at a professional level.

Predictive Behavioural Analytics
This compact online training provides a hands-on introduction to Predictive Behavioural Analytics in change management. Participants learn how to define and prepare behavioural data, build and interpret baseline models in KNIME, and generate first predictive behavioural insights to inform intervention design.
Behavioural Design
4 days | hybrid
(2 days in person + 2 days live-online)
This four-day hybrid training provides a hands-on introduction to Behavioural Design in change management. Participants learn to map behavioural journeys and decision points, analyse choice architecture, and prototype interventions to produce a Behavioural Design Blueprint for testing and iteration.
CLIMB™ Masterclass
6 days | hybrid
(2 days in person + 4 days live-online)
The CLIMB™ Masterclass is a six-day advanced training programme within the “Predictive Behavioural Designer” certification track. It connects predictive behavioural modelling with behavioural design in a practical workflow to develop, prototype, and test interventions you can apply directly to your own change context.
As a Predictive Behavioural Designer, You Are Equipped to …
Interested in Our Training Path for Individuals?
We’re happy to help you find the right individual training or the most suitable track to become a certified Predictive Behavioural Designer.
If you have any questions about the content, structure, or certification process, just let us know. Send us a message using the form below – we’ll get back to you within 24 hours (Monday to Friday).
