Skip to content
NLP Knowledge Base — NLP for Professionals by Wisdomtree Solutions

Glossary · Foundations

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.

Also called emotional state, resource state.

NLP Knowledge Base Editorial · Reviewed 19 August 2026

What a state means in NLP

NLP practitioner literature treats “state” as the package of body, attention and emotion someone is in right now. A resource state is a condition in which a useful skill is more available — calm enough to listen, alert enough to decide. A stuck state is one in which the same old sequence runs.

The idea is close to ordinary language about mood and arousal. NLP’s extra move is to treat state as something that can be noticed, named, and — in limited ways — practised, rather than only talked about as a personality trait.

How they are used

Practitioners are taught to calibrate state from posture, breathing, skin tone and voice, to build rapport by pacing current state before leading, and to anchor a useful state so it can be recalled. Submodalities are one way literature describes how a state is coded in imagination.

Example

Before a difficult meeting, someone notices a tight jaw and shallow breath — a state in which they tend to interrupt. They slow the breath and drop the shoulders, then rehearse the first sentence they want to say. That is state work as self-management. It is not a claim that the meeting is now under hypnotic control.

States sit behind anchoring (attaching a trigger to a state), calibration (reading state), and rapport (meeting someone in their current state).

Limits

“Change your state, change your life” is marketing. State shifts in a training exercise can be real and still short-lived. They are not, by themselves, treatment for anxiety disorders or proof of a unique NLP mechanism. See Evidence and criticism.

Related terms

  • Calibration

    In NLP, calibration is the practice of noticing specific, present-time sensory evidence of another person’s state rather than relying on a story about what they “must” be feeling.

  • 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.

  • Rapport

    In NLP, rapport is a working relationship of attention and responsiveness; it is practised through pacing, listening and calibration rather than through forced friendliness.

  • Submodalities

    In NLP, submodalities are the finer qualities of a remembered or imagined experience — such as brightness, loudness or location of a feeling — used as a teaching frame for how people code intensity.

  • Representational Systems

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

  • 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.

See also

Other terms in foundations

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