CLIMB™ Masterclass
The CLIMB™ Masterclass is a six-day hybrid advanced executive training for experienced change, HR and transformation professionals working in complex change settings. It completes the Predictive Behavioural Designer certification by bringing predictive behavioural analytics, behavioural diagnostics and intervention design together in one coherent workflow.
Participants learn how to move from early behavioural signals and estimated response patterns to intervention choices that are clear enough for implementation teams to use and practical enough for everyday change conditions.
Dashboards and KPIs remain essential for tracking progress. Yet they often lag behind emerging behavioural shifts and rarely explain why implementation moves quickly in one area while it slows in another. The Masterclass adds an integrated behavioural and predictive layer that helps teams recognise earlier signals, understand differences between groups, and translate these insights into interventions prepared for early testing and practical implementation.
The programme builds directly on the logic of Fundamentals 1 and Fundamentals 2. Fundamentals 1 introduces predictive behavioural analytics as decision support in change. Fundamentals 2 develops the capability to diagnose behavioural patterns and design interventions with rollout readiness. The Masterclass brings both together within the CLIMB™ Framework and a structured Change Audit workflow, enabling participants to connect diagnostics, predictive insight and intervention design within one advanced, practice-led way of working.
Participants work with a structured set of templates and a guided process. The training combines applied work on a realistic transformation case or the participants’ own context with structured review, refinement and transfer to practice.
Training structure
Days 1–2 (in-person, Amsterdam) – Audit framing, behavioural diagnostics and decision conditions
The in-person sessions establish the strategic and diagnostic foundation. Participants learn how to define clear audit questions, analyse behavioural patterns and resistance dynamics, and examine the decision points and conditions that influence uptake, completion or drop-off. Working with a realistic transformation case or their own context, they build the core audit structure and develop an initial intervention logic grounded in behavioural mechanisms and communication choices.
Days 3–4 (live online, Zoom) – Journey mapping, segmentation and predictive insight
The online sessions extend the audit into a more differentiated view of behaviour across groups. Participants use Behavioural Journey Mapping to identify decision points and adoption trajectories, segment stakeholders by readiness and behavioural drivers, and develop behavioural personas that capture motivations, barriers and context differences. They then build and interpret baseline predictive models in KNIME within a structured workflow and translate predictive patterns into actions for communication and targeted support.
Days 5–6 (live online, Zoom) – Prototyping, testing, governance and integration
The final sessions focus on turning behavioural and predictive insight into action. Participants develop predictive change scoring with a focus on robustness and interpretability, design behaviourally specific intervention components, and define pragmatic success criteria, measurement logic and early tests where feasible. The programme concludes by integrating responsible-use standards, including justified data use, clear assumptions and limits, transparency, ethics and data protection, so that behavioural data and interventions can be applied responsibly in real change settings.
Details with agenda 
Training content:
- CLIMB™ Framework and Change Audit workflow: conducting a structured change audit, defining clear audit questions, diagnosing readiness and adoption risks across groups, and translating findings into clear areas for action and intervention focus
- Behavioural diagnostics and decision conditions: identifying behavioural patterns and resistance dynamics, analysing the conditions that shape uptake, completion or drop-off, and translating behavioural insights into intervention logic and communication choices
- Behavioural Journey Mapping and segmentation: mapping decision points and adoption trajectories, segmenting stakeholders by readiness and behavioural drivers, and developing behavioural personas that capture motivations, barriers and context differences
- Predictive Behavioural Analytics for change practice: building and interpreting baseline predictive models in KNIME within a structured workflow, developing predictive change scoring for robustness and interpretability, and translating predictive patterns into actions for communication and targeted support
- Behavioural prototyping, testing and iteration: designing intervention components that are behaviourally specific and testable, defining pragmatic success criteria and early tests, and linking predictive insights and behavioural diagnostics to prototype decisions and iteration
- Governance, responsible use and impact: setting responsible-use standards through justified data use, clear assumptions and limits, reducing misinterpretation risks by addressing bias and fairness, and translating ethics and data protection into practical rules for change teams
What makes this training distinctive?
- a fully integrated workflow that connects behavioural diagnostics, predictive insight and intervention design within one advanced change methodology
- clear progression from audit framing and segmentation to predictive modelling, intervention prototyping and implementation-focused transfer
- explicit emphasis on responsible use, including transparency, model limits, ethics and data protection in organisational settings
- applied work on a realistic transformation case or the participants’ own context, supported by structured templates, guided refinement and transfer to practice
- small-group format with high interaction, practical depth and strong transfer to behaviourally informed change practice
Who is it for?
- Senior change and transformation leads
- Organisational development professionals and HR / People & Culture strategists
- Internal and external consultants working on adoption-critical change initiatives
- Professionals responsible for engagement, communication and decision conditions in change
- Behavioural and people analytics professionals working with behaviour-relevant data
- Behavioural designers and practitioners translating insights into testable interventions
Learning outcomes:
After completing the training, participants can:
- define audit questions and map journeys and decision points that influence adoption or drop-off
- segment groups by readiness and drivers and flag likely risk concentrations
- translate predictive patterns into actions for communication and targeted support
- design behaviourally specific interventions for early testing and practical implementation
- define success criteria, measurement logic and an iteration plan
- apply responsible-use standards, including transparency, ethics and data protection
Prerequisites:
Participants should have completed Fundamentals 1 and Fundamentals 2, or bring equivalent experience in predictive behavioural analytics and behavioural design.
Practical note
The in-person training sessions take place in Amsterdam. Full venue details will be shared in April 2026.
