In NLP, a strategy is the specific approach or sequence of steps that an individual takes to achieve a desired outcome or result. It can encompass a wide range of aspects of thinking, decision-making, and behavior, making it a central focus of NLP’s research into the processes that lead to success and effective performance.

NLP classifies strategies into five broad categories based on their intended use:

Decision Strategies: These strategies describe how people make choices and decisions. They involve mental processes and criteria used to evaluate alternatives and reach a decision.

Motivation Strategies: Motivation strategies are the methods by which people activate and sustain their motivation to complete tasks or achieve goals. Understanding these strategies can aid in increasing motivation and productivity.

Reality strategies are the processes by which we form opinions and beliefs about the world around us. They include how people perceive, interpret, and react to information and experiences.

Learning strategies are the methods that people use to acquire new skills or knowledge. These strategies have an impact on how quickly and effectively people learn and retain information.

Memory Techniques: Memory techniques are techniques that people use to recall past experiences or information. Understanding memory strategies can aid in the retention and retrieval of memories.

Individual behaviors and outcomes can be better understood by analyzing and comparing strategies. Exploring different approaches to common tasks or situations can lead to the identification of more effective and efficient strategies, potentially improving personal performance.

Rep systems, which include self-talk, emotions, and future scenario visualization, are critical in shaping strategies. NLP delves into modeling and investigating these components in order to gain a better understanding of how successful people achieve their goals.

One model that NLP uses to represent strategies is the T.O.T.E. model. T.O.T.E. stands for Test-Operate-Test-Exit and is a loop-like sequence in which an individual continuously tests their progress toward a goal, operates based on feedback received, tests again, and exits the loop when the goal is reached.