Education
A hands-on educational experience that enables your students to explore
perception, decision-making and AI through a real-world problem.
A decision is shaped by more than data. It also depends on how each individual constructs and interprets reality.
The HappyTrack Decision Lab Education enables students to understand the mechanisms that precede a decision, influence differences in perception and shape the trade-offs behind communication, influence and decision consistency.
…perhaps it has never been more important to learn how to think before accepting one.
With the emergence of generative AI, education faces a new paradox.
Developing the critical thinking required to make decisions and act effectively in increasingly complex professional environments is becoming a fundamental part of education.
For students, AI introduces an even deeper risk: replacing the development of thinking with the immediate production of answers.
Redesigning teaching practices, adapting classes and finding new ways to teach what artificial intelligence can now produce almost instantly has become an ongoing challenge.
For educators committed to the quality of learning, this means more preparation, more adaptation and a growing workload.
The challenge is no longer simply to transmit knowledge.
It is to create situations in which students must observe, question, interpret, decide, confront different perspectives and take responsibility for the consequences of their choices.
With a methodology already used by organisations across two continents and experienced by more than 500 students, Decision Lab is not designed to be another AI that makes things easier. It is an experience designed to raise.
Through a protocol delivered via an online platform, we create the ideal environment for participants to think, decide and learn from their own decision-making process.
Because in a world where AI can answer on behalf of human intelligence, the advantage is no longer simply knowing how to produce an answer.
Using an exclusive methodology and an AI-based cognitive engine, students work with concrete situations involving real companies.
Analyse perceptual and cultural differences in practice before making decisions
Engage directly with consumers, entrepreneurs, managers and employees to learn how to build evidence and construct arguments based on it.
Test the consistency and effectiveness of their arguments, communication and the perceptions they generate.
Each edition of HappyTrack Decision Lab explores a new city to generate new knowledge about differences in perception across cultures, organisations and consumers.
Next city:
Next stops : Paris | Nice | Genève | São Paulo | New York
Note: We don't study cities!
We study how each city teaches people to perceive, decide, and act.
Why use the same contexts?
Comparing cities is only meaningful when similar phenomena are observed.
That is why we use the same types of organisations across different countries.
This standardisation allows us to identify what genuinely changes because of cultural influence, and what remains consistent regardless of culture.
Through its digital platform, HappyTrack Decision Lab helps you turn your course content into an experiential learning environment combining innovation and methodological rigour, without adding unnecessary complexity to your work.
Raise students’ awareness of the responsibility involved in decision-making through situations adapted to your discipline.
Students discover the mechanisms behind perception and complete their first individual experience on the platform.
Generate data that can be analysed through students’ real-world observations.
Working in teams, students analyse real companies and compare their observations with those of other professionals through field data collection.
Develop professionals who are focused on results while remaining capable of understanding people.
Students interpret the results, identify differences in perception and build evidence-based recommendations.
Each laboratory enriches a knowledge base dedicated to understanding differences in perception between individuals, organisations and cultures.
Participating schools, universities and companies thereby contribute to a genuine international decision observatory.
Give your students an educational experience combining research, artificial intelligence, field observation and decision-making.
Because the best decisions do not come simply from good answers.
They come from a better understanding of reality.
