Maslow’s Hierarchy of Needs: A New Paradigm
[ course ]
Maslow’s Hierarchy of Needs: A New Paradigm
OUR STUDENTS
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Maxim Opilkin
OKR Transformation Leader and Methodologist Speaker at SberUniversity and Skolkovo Former CEO of GROTEM; Former CPO of na_polke
Russia

Isolda Morozova
Russia

Yulia Okuneva
Russia
About the Course
Master a dynamic model of needs instead of a “static pyramid”
You will understand why the classical interpretation of Maslow often turns into a quasi-mathematical algorithm that is poorly suited to real human behavior, and you will learn a new logic of non-linear transitions between levels of needs.
Learn to diagnose the motivational state of a person or group from the position of a “reflective observer”
You will learn to identify the mode of subject–object relations in which a person or team is currently operating — Mono(S), S–O, S–S, S–O–S, Meta(S) — and connect this with the needs that are in fact driving behavior here and now.
Gain a practical tool for managing transitions and reducing distortions under contextual pressure
You will learn to understand the pattern of multidirectional transitions and accurately predict the level of needs to which a person’s motivation will shift under different kinds of external pressure, as well as how to restore clarity and productivity — not through empty slogans or rewards, but through precise conceptual framing by adjusting context, tasks, and the form of interaction so that people’s needs and motivation naturally realign with the goals of the organization.
Course Outline
[ number of sessions ]
6 sessions of 2 hours each
[ schedule ]
twice a week
[ 1 ]
Drives, instincts, and complexes in Freud’s theory
[ 2 ]
Five basic types of resources
[ 3 ]
The language of subject–object relations in the work of G. S. Batishchev
[ 4 ]
Maslow’s hierarchy of needs and social activity
1.
Everyone knows Maslow’s hierarchy of needs. What new can you add to it?
2.
Are you saying that your interpretation of Maslow’s theory is better than all other interpretations created worldwide over the past 50 years?
3.
What ensures high predictive accuracy in your model?
