Skip to content

Glossary · Foundations

Strategies

In NLP, a strategy is a modelled sequence of attention, representation and behaviour that someone runs to get a result — a teaching description of ‘how’, not a guarantee that the sequence can be installed.

Also called NLP strategy, TOTE, sequence.

NLP Knowledge Base Editorial · Reviewed 21 September 2026

What a strategy means in NLP

In ordinary language, a strategy is a plan. In NLP practitioner literature, strategy is more like a recipe of subjective steps: what the person pictures, says to themselves, feels, and then does, in order, on the way to a result. Modeling is the attempt to make that recipe explicit enough to try.

Spelling, motivation, decision and “Disney” strategies are later named examples of the same idea. “Strategy installation” is training-room language, not treated here as a technical fact.

TOTE, at the level it is taught

Many NLP introductions borrow TOTE — Test, Operate, Test, Exit — as a sketch of a loop: check whether the result is present; if not, do something; check again; leave when the test is satisfied. In this teaching it is a cousin of a well-formed outcome: the “test” is the evidence the person would accept.

That sketch overlaps cybernetic and cognitive ideas older than NLP. Citing TOTE in a practitioner room does not make NLP the owner of feedback loops, and it does not prove that a particular sequence is complete.

How it is used

A modeller asking about a strategy might hear: a glance at the page (visual), a muttered “does this look right?” (auditory), a tightness if not (kinaesthetic), then another pass. Representational systems supply the vocabulary for those steps. States colour which steps are available. Anchoring is sometimes taught as a way to recall a useful point in the sequence. None of that is a licence to rewrite someone else’s mind.

Example

Someone who writes easily on trains but not at the desk already has a strategy in one context. Rather than “be more disciplined,” a modelling question asks what they see, hear and do in the carriage — noise, motion, a two-hour lid — and which of those steps could be tried, modestly, at the desk. The experiment might fail. That failure is data, not a defective person.

Limits

A named NLP strategy is not automatically a faithful model of the person it is associated with. Transfer from one context to another is a separate, empirical question this page does not settle. See Modeling and Evidence and criticism.

Related terms

  • Modeling

    In NLP, modeling is the process of studying how someone produces a useful result, then making the pattern explicit enough to practise or teach.

  • Well-Formed Outcomes

    In NLP, a well-formed outcome is a desired result stated so that it can be tested — in context, in sensory evidence, and with a look at what else the change would affect.

  • States

    In NLP, a state is a person’s current organisation of physiology, attention and feeling — the condition in which a behaviour is more or less available.

  • Representational Systems

    In NLP, representational systems are the sensory channels — seeing, hearing, feeling and related senses — through which people are said to code experience.

  • Anchoring

    In NLP, anchoring is the practitioner method of pairing a distinctive trigger with a felt state so that the trigger can later be used to recall some of that state.

See also

Other terms in foundations

Beliefs · Modeling · Neuro-Linguistic Programming · NLP Presuppositions · Reframing · Representational Systems · States · Submodalities · Values · Well-Formed Outcomes