Method and system for scenario selection and measurement of user attributes and decision making in a dynamic and contextual gamified simulation

A computerized system for determining the cultural style of a plurality of participants of an organization comprising the following elements:

• one or more units for input and output communications between a user, game databases and a core engine;
• said game databases, further comprising databases of user profiles, definitions and values of the parameters for computing states of the game, possible events, possible actions by said plurality of participants in response to possible events at the different states of the game, and the rules of the game;
• analytical databases that stores information about completed simulations;
• said core engine comprising one or more processors for:
• accessing one or more records of organizational data and participant data to generate an instance of simulation;
• initiating a game simulation session for a state of organizational model for said participant;
• receiving input from said plurality of participants to automatically calculate and generate a first set of simulation events specific to said plurality of participants;
• presenting to said plurality of participants said first set of events, and receiving a response as textual or spoken inputs in an unstructured form;
• performing text analytics on said inputs, and identifying themes and clusters based on frequency and meaning of inputs;
• calculating probabilities of a simulated set of events for a changed state of organizational model resulting from said plurality of participants' response to said set of events;
• generating a further set of simulation events specific to said plurality of participants based on a changed state of organizational model, and presenting said further set of simulation events to said plurality of participants for inputs;
• iterating said steps of performing text analytics, calculating probabilities and generating a further set of events, and receiving inputs from the user;
• terminating said iterations when a state marker is reached;
• and
• analyzing the semantic relationships between the inputs of said plurality of participants and a set of culture markers identified priori, and generating reports on how closely plurality of participants cluster around specific dimensions of culture styles.