A Guide to Replicating Excellence

What if excellence wasn’t magic—but a pattern?
And what if you could capture that pattern, like downloading someone’s genius and installing it in yourself?
Learn how to model top performers from the inside out and unlock strategies even they can’t explain.
Discover the complete guide to NLP modeling — a step-by-step method to decode and replicate human excellence.
Neuro-Linguistic Programming (NLP) began as the art of modeling human excellence – observing how top performers achieve outstanding results and capturing those patterns to teach others.
By deeply studying the behaviors, language, and thinking of high achievers, you can “decode” their success strategies and apply them in your own life.
“If excellence leaves clues, NLP is how we follow them.”
This guide provides a comprehensive roadmap for mastering NLP modeling at the deepest levels, so you can replicate excellence in yourself and others.
We’ll explore the purpose and philosophy behind modeling, walk through detailed step-by-step processes, and cover advanced techniques for eliciting the inner workings of an expert’s performance.
Along the way, we’ll highlight examples from NLP co-founders Richard Bandler and John Grinder, as well as Robert Dilts and other master practitioners, and point you to classic and current resources for further learning.
Let’s dive in.
Purpose and Philosophy of NLP Modeling
At its core, NLP is a modeling technology – the original goal was to uncover how exceptional people get results and make those methods learnable for anyone.
In the 1970s, Bandler and Grinder famously modeled genius therapists (like Milton Erickson and Virginia Satir) to distill their communication patterns into teachable models.
This philosophy is grounded in the idea that “success leaves clues” – excellence is not a mystery, but a reproducible process hidden in a person’s behaviors, mindset, and strategies.
By studying the structure of subjective experience, NLP modelers seek to map how the brain (“Neuro”) and language (“Linguistic”) interact to produce specific behaviors (the “Programming”) .
Two key viewpoints guide NLP modeling:
- NLP as a Meta-Discipline: Rather than belonging to one field (therapy, sports, business, etc.), NLP is “the field of modeling” itself . An NLP practitioner can model excellence in any domain and lend those discoveries to the respective field (e.g. creating a “hypnosis model” from Erickson, or a “financial success model” from top investors) . This meta-perspective keeps the focus on structure over content – the transferable “how” behind expert performance.
- Child-Like Learning: NLP modeling leverages the natural learning capabilities we all had as young children . Before we could analyze, we learned by imitating and absorbing patterns unconsciously. NLP revives this ability – the modeler adopts a “know-nothing state” of openness and learns through immersive observation and imitation . Only after becoming as proficient as the model can we articulate what the expert does differently. As co-founder John Grinder puts it, the modeler first “observe[s] and imitate[s] that person like a little kid and then, once I become as good as them, [I] start figuring out what the heck she’s doing… so I can teach that skill to other people” . This approach distinguishes NLP modeling from more analytical forms of modeling.
Underlying NLP are also certain presuppositions and principles that support effective modeling. For example, “the map is not the territory” reminds us each person’s perceptions are subjective. As a modeler, you suspend your own “map” and enter the expert’s world to grasp their reality.
Another principle, “there is no failure, only feedback,” encourages the iterative, experimental attitude needed for modeling – if a replication attempt doesn’t work, it’s just information to adjust your approach.
Outcome orientation is also crucial: NLP modelers define clear outcomes (the specific excellent result to reproduce) and maintain flexibility in how to get there.
In summary, the philosophy of NLP modeling is about curiosity, open-mindedness, and a relentless focus on the process of excellence rather than the content or the person’s charisma. By believing excellence can be decoded, the NLP modeler acts as a detective of human success.
“Modeling is how you go from admiration to acquisition.”
Let’s break down the NLP modeling process step by step.
The NLP Modeling Process: Step-by-Step
Master the art of NLP modeling with this in-depth guide to capturing unconscious competence, mental strategies, and performance patterns.
Learn what makes experts truly exceptional — and how to replicate it.
NLP modeling can be broken into a systematic series of steps. Different NLP experts describe the process in varying detail (5-step, 6-step, etc.), but all cover three overarching phases: find an exemplar, model their patterns, and transfer the model.
Here we’ll detail a six-step modeling process adapted from Grinder and Bostic St. Clair’s approach (outlined in Whispering in the Wind) , with emphasis on behavioral, linguistic, and cognitive aspects at each stage:
NLP Modeling in One Glance
Here’s the high-level flow we’ll unpack step-by-step:
1. Find Model → 2. Unconscious Assimilation → 3. Test the Pattern →
4. Distill Essentials → 5. Code the Strategy → 6. Transfer and Scale
Step 1:
Identify a Model of Excellence
Begin by choosing the right exemplar – someone who consistently produces outstanding results in the area you care about. This could be a top performer in any field: a sales superstar, a brilliant negotiator, a renowned artist, an Olympic athlete, or an exceptional teacher. The key criteria are consistency and reproducibility of success.
The person should achieve the desired outcome reliably, not just once in a while.
It’s also helpful if their achievement aligns with your goals/values and if you have access to observe or interact with them (directly or via recordings/texts) .
Take time to research and select the best model. For example, if you want to improve public speaking, you might identify a particular TED speaker known for engaging talks. If you aim to excel in coaching, you might pick someone like Tony Robbins or another coach with proven impact. Clarity on what skill or success you want to model will guide the whole project.
In some cases, you can even model historical or fictional figures by studying biographies and records of their behavior (just note that live, in-person observation provides richer data for NLP modeling).
Step 2:
Become the Expert—Before You Understand Them (Unconscious Assimilation)
Once you have a model, immerse yourself in their world. This stage is about deep observation and imitation – capturing the person’s behavioral patterns at an unconscious level.
Unlike analytical modeling where you might just interview the expert, NLP modeling asks you to “step into their shoes” and behave as they do without over-analyzing it.
In practice, this means using your entire body and senses to mimic the expert in real-time:
- Physiology and Movement: Adopt the individual’s physical patterns. Notice how they carry themselves – posture, breathing, facial expressions, gestures, eye focus, muscle tension, energy level . Immediately copy their posture and movements as precisely as possible . For instance, if you are modeling a tennis champion’s serve, stand the way they stand, grip the racket as they do, mirror the exact swing motion. By aligning your physiology, you tap into similar neurological states; subtle shifts (head angle, spine alignment, etc.) can produce very different internal experiences . Developing acute sensory acuity is vital here – train yourself to pick up micro-behaviors the person might not even realize they do. John Grinder emphasizes using peripheral vision and internal silence when observing, so you catch the smallest details of the model’s actions and can mirror even “micro-muscle” movements .
- Speech and Voice Patterns: Imitate the person’s linguistic behavior – their tone, pace, volume, and rhythm of speaking . Intonation can reveal internal state . Does the person speak rapidly and loudly when passionate, or do they pause and lower their voice to draw focus? Match these qualities. By adopting their voice dynamics (pitch, timbre, cadence), you may start to feel emotions similar to theirs and gain insight into their mindset . Also note specific phrases or metaphors they use frequently, as these reflect how they structure their thoughts. For example, an expert negotiator might often say “I see what you mean” (indicating a visual thinking style) – if so, use similar phrasing to cue your brain into their mode of processing.
- Actions and Routines: Reproduce key behaviors or rituals the person performs. Many high performers have specific routines (like a golfer’s pre-shot routine or an artist’s warm-up exercise). Copy these actions exactly at first. Even if some behaviors seem trivial (e.g. a public speaker always taps the microphone or drinks a sip of water before speaking), do them. You are programming your muscle memory and unconscious to behave as the model does, which can unlock comparable capabilities. Only later will you determine which behaviors are critical or which are superfluous quirks.
During this immersion, it’s crucial to suspend judgment and analysis.
Avoid the temptation to ask “Why did they do that?” or “Am I doing this right?” too early.
Stay in what NLP calls the “as if” state – behave as if you are the model, fully present in the experience. By absorbing patterns unconsciously first, you bypass your own filters and biases . This childlike modeling approach is unique to NLP: other methods might start by interviewing the expert, but NLP warns that conscious explanations can be incomplete or misleading .
In fact, experts often can’t articulate exactly how they do what they do (their skill is partly unconscious competence), and your questions could lead them to give answers colored by theory or ego.
Thus, become a keen observer and imitator first, trusting that your body and unconscious mind are learning the pattern even if your conscious mind doesn’t yet understand it.
Pro Tip: Maintain an open, relaxed state while modeling. Grinder suggests cultivating a state of curiosity with minimal internal dialogue and adopting a similar breathing and tension level as the model . This helps you receive the patterns without resistance. Also, model in context as much as possible – observe the person in the environment of their performance (live, if you can). If that’s impossible, use video as a second-best option; text or audio alone are far less rich for full NLP modeling .
“You can’t teach what you don’t embody.”
Step 3:
Reproduce the Results to Validate the Model
The proof that you have internalized the model’s key patterns is simple: you can reliably produce similar results. In Step 3, you test whether the imitation and absorption from Step 2 paid off by performing the skill or achieving the outcome yourself, aiming for the same standard as the expert.
This is also called “reaching criteria” – demonstrating the target level of performance under comparable conditions.
Set up a scenario to try out the new behavior/skill and measure your results. For example, if you modeled a champion sprinter’s training regimen and mindset, attempt a race or time trial to see if your speed improved markedly. If you modeled a therapist’s technique, try applying it with a sample client and see if you achieve a breakthrough.
The goal is to match the model’s results in quality and, if relevant, in speed.
As John Grinder notes, you should be able to get “the same class of results as the model and in the same time frame” before moving on. If the expert closes sales deals in one phone call, you aim to do the same; if the martial artist can break a board after 8 months of training, see if you can as well.
Be patient here – the time required varies. Some simple skills or patterns might show results in minutes or days, while complex expertise could require weeks or months of practice to fully replicate. The important part is consistency: you can’t call it successful modeling if you only succeed once by luck.
You need to reach a level where you can consistently repeat the performance on demand, indicating the pattern is installed in you.
If you’re not yet hitting the mark, that’s normal. Return to Step 2 and keep refining your imitation. It may be that you missed a subtle cue or that an internal element (like a belief or decision strategy) hasn’t been grasped.
Treat shortfalls as feedback, not failure – analyze what’s different between your approach and the model’s, and adjust. It helps to practice in a low-stakes environment at first, where you can safely make mistakes and learn. For instance, a public speaking model can be tested in a toastmasters meeting before a big keynote.
Keep cycling through observation and practice until you reliably meet the criteria of excellence.
This dedication reflects a core NLP idea: modeling is a discipline that requires work and iteration, much like practicing a martial art.
Once you can do what the model does, congratulations – on a personal level, you have acquired the skill. Many people choose to stop here, especially if your only goal was to improve your own performance.
However, NLP modeling encourages going further: the ultimate test (and gift) of modeling is making the skill transferable to others.
Step 4:
Separate Genius from Style
Refine the pattern. “Clean up” and extract the essentials.
After you can replicate the success, it’s time to step back and analyze what you’re doing. In Step 4, you make the implicit pattern explicit – distilling the jumble of behaviors and thoughts into a clear strategy or model description.
This is often called “cleaning up the pattern”. The idea is to strip away any idiosyncrasies or unnecessary steps that aren’t actually critical to the result, so you end up with a streamlined blueprint of the skill.
Start by reviewing everything you and the exemplar did in successful instances. Now that you’ve lived it from the inside, you’ll have insight into which components likely matter most.
To verify, use a systematic testing approach: change or omit one element at a time and see if the successful result still occurs.
Grinder gives a simple example from sports: if the tennis pro you modeled always bounced the ball three times before serving, test serving without that ritual and observe whether the serve’s effectiveness drops. If there’s no change, then bouncing the ball was a personal quirk (not essential to the outcome) – you can drop it from the model. If performance does suffer, that routine might have a functional purpose (e.g. focusing the mind) and you’d keep it.
This method of isolating factors follows Dilts’s “Principle of Elegance”: find the minimum number of elements necessary and sufficient to reproduce the result .
As you refine the model, consider these components for inclusion or elimination:
- Critical Behavioral Patterns: Which specific physical actions or sequences are indispensable? (e.g. the exact technique of a golf swing).
- Linguistic Patterns: Note any language that consistently triggers the outcome (e.g. a coach’s way of phrasing feedback). Are all those language patterns needed, or only some key ones?
- Cognitive Strategy: This is how the person’s mind steps through the task. By now, you should infer or have elicited the strategy – the sequence of mental steps (representations/decisions) the person uses . Commonly, NLP represents strategies in terms of representational systems (visual, auditory, kinesthetic, etc.) in a specific order. For example, a strategy for creative writing might be: visualize a scene → get a feel for the mood → hear the characters’ dialogue internally → start typing. Identify the repeating mental sequence that leads to success, and verify it’s present every time.
- Beliefs and Mindset: Ask yourself what empowering beliefs or assumptions the model holds that drive their success (e.g. “failure is just learning,” “I can figure this out”). In NLP, beliefs are powerful motivators and filters of experience. If, during modeling, you found that certain beliefs kept coming up or you had to adopt a particular belief to succeed, note those. Only include beliefs that are absolutely necessary to the performance . (Adopting someone’s belief system can affect your entire worldview, so NLP advises caution here . For instance, if a stock trader you model believes “Greed is good,” you might decide that’s not an ecological belief for you or your learners to take on. You might achieve the same trading results with a different, positive motivating belief.)
- Values: Determine if any core values are driving the behavior. Values are what a person finds important (e.g. a value for “adventure” might drive a great entrepreneur’s risk-taking). These can be subtle but pivotal. If the model’s values differ greatly from yours or your learners’, think about how to address that – will adopting a piece of their value system enhance performance, and is it acceptable? Often, alignment of values is needed to maintain a skill long-term, so include key values in your model or ensure the model works within the learner’s own value framework .
- Unique Style vs. Universal Strategy: Distinguish idiosyncratic style from universal structure. For example, a speaker might always wear a red shirt – that’s style (probably not crucial). But their habit of telling a personal story in the introduction – that might be structural (a tactic to build audience rapport). Use counterexamples for contrast: Dilts suggests examining someone who fails at the task (or a situation where the expert failed) and see what factors differ . This can highlight which pieces truly “make the difference” between success and failure. If the only difference is that the expert visualizes a positive outcome and the non-expert doesn’t, you’ve learned that visualization is a key step, for instance.
By the end of Step 4, you should have a clearly mapped model of the skill: a list of essential steps, conditions, and patterns that produce the result.
You are effectively articulating the “code” of the excellence you’ve modeled – often in a step-by-step format or a set of principles.
Some NLP modelers like Robert Dilts create acronym models or diagrams to summarize this (e.g. the “R.O.L.E. Model” for strategy elements ). It’s useful to write it down or draw it out in a way that another person could follow.
Example: In modeling an outstanding salesperson, you might conclude that the essential strategy is: 1) State Management – they adopt a confident physiology and mindset before calls; 2) Rapport – they match the client’s tone and language to build trust; 3) Outcome Focus – they set a clear goal for the call; 4) Language Patterns – they use specific persuasive language (e.g. metaphors, assumptive questions); 5) Resilience Belief – they interpret “no” as feedback and stay resourceful. Each of those elements can be further detailed and then taught.
Step 5:
Codify the Model for Transfer
Now, translate the refined pattern into a teachable format. Coding the model means creating a method or program that others can follow to get the same results.
Essentially, you act like a software developer taking a skill and turning it into a “program” (set of instructions) that can run in another person. This code could take various forms:
- Step-by-Step Procedure: A scripted protocol or algorithm. For example, the NLP “fast phobia cure” is a stepwise procedure coded from how some people naturally overcame phobias. Similarly, you might outline, “Step 1: Adopt XYZ posture; Step 2: Bring to mind a time you felt confident; Step 3: Say the following line to the client…”, and so on.
- Checklists or Mnemonics: Summarize the model as a checklist (e.g. a pilot’s preflight “excellence checklist”) or a memorable acronym. The idea is to make the model easy to remember and follow. Robert Dilts’ R.O.L.E. and B.A.G.E.L. models are examples: R.O.L.E stands for Representational systems, Orientation, Links, Effect – encapsulating key elements of cognitive strategy modeling ; B.A.G.E.L. summarizes important physiological cues (Breathing, Accessing cues [eye movements], Gestures, Eye patterns, Language patterns) .
- Metaphors or Training Games: Sometimes complex skills are best transferred through exercises or metaphors that embed the pattern. For instance, John Grinder’s New Code NLP created games that induce the high-performance states of experts, allowing learners to experience the core of a skill without needing intellectual details. If your model has an emotional or state component (e.g. “entering flow state”), you might design a game or ritual to practice that.
- Diagrams/Flowcharts: Visual representations like mind-maps or flowcharts can show decision points in the strategy. For a business negotiation model, you might draw a flowchart of how an expert responds if the client is defensive vs. receptive, etc.
When coding, ensure you tailor the format to your target audience. If you will teach this model to beginners, make the steps very explicit and jargon-free.
If it’s for advanced performers, you can assume some prior knowledge. Always double-check that the coded model still captures the magic – it should include all the critical pieces identified in Step 4 and no extraneous fluff.
At this stage, you may consciously realize additional nuances by organizing the model on paper (many modelers report that in documenting the model, they notice new patterns or optimizations).
Before finalizing, it’s wise to test the “code” on yourself: can you follow your own written model exactly and still get the result? If not, refine the instructions.
This ensures the model is explicit enough and not leaving out something you do intuitively. The goal is that someone who did not go through all your lengthy modeling process can simply apply your model and achieve similar success.
Step 6:
Transfer and Test the Model with Others
The final step is to teach or install the model in others and verify that they can achieve comparable results. NLP modeling isn’t truly complete until the new skill is shareable and repeatable across people – “You can deem the project successful if the person who receives the model can produce results comparable to those of the outstanding performer,” as one expert puts it.
In other words, the model should work on demand for any committed learner, not just for the original modeler.
To do this, you might conduct a training session, create a workshop, write a manual, or coach individuals using the model. Provide the coded model (the steps, principles, or exercises) and have learners apply it.
It’s important to manage the learning process here: establish rapport, frame the value of the model, and ensure learners enter a receptive, curious state (so they mirror the openness you had when modeling).
Then guide them through the steps.
Observe the results: can multiple people now achieve the outcome reliably by following the model?
Gather feedback and measure their performance against the standard of the original exemplar.
Often, this phase reveals small gaps or ambiguities in your model that you can tighten up. For example, perhaps half the students succeed but others struggle – you might find you need to add a prerequisite step (like “first, get into a calm state”) that you took for granted. Iterate the model based on learner feedback until you reach a point where the model is robust: different individuals, when properly trained, can use it effectively.
A well-transferred model can have profound impact.
Think of it as bottling excellence and distributing it.
In NLP’s history, this is how many famous techniques came to be: the Meta-Model of language was taught to therapists so they could replicate Virginia Satir’s results with clients; the Milton-Model was packaged to teach hypnotic language from Milton Erickson’s style. Your modeling project may not be as famous, but if done right it contributes to human knowledge – you’ve expanded what people believe they can learn to do.
Note: In some cases, you (the modeler) might decide not to fully code or disseminate the model. If your goal was personal mastery, you might stop at Step 4 once you’re consistently performing well . Steps 5 and 6 are about formalizing and sharing the model. There are advantages to doing so, even for personal use: explicitly codifying your model can reveal further refinements, and teaching others often deepens your own mastery . But it’s a choice – some modelers enjoy the creation process and move on, while others love the training process. Ideally, strive to be skilled in both developing models and applying them .
Now that we’ve covered the overall process, let’s delve into some specific techniques for capturing the fine details of an expert’s behavior and thinking – particularly internal mental patterns and physiology, which are crucial for high-fidelity modeling.
Capturing Internal Representations and Mental Strategies
A major part of NLP modeling is unpacking the invisible processes inside an expert’s mind – their internal representations (images, sounds, feelings, self-talk) and how those drive their behavior.
These internal patterns are often what truly distinguishes an exceptional performer, yet they are hidden from plain view. NLP provides tools to elicit and map these inner experiences, including representational systems, submodalities, and the person’s beliefs and values.
Here are techniques to capture these cognitive components:
- Identify Representational System Preferences: Determine how the person processes information sensorily. Do they favor visual thinking (images), auditory (sounds/words), kinesthetic (feelings), or a mix? Listen to predicate words and metaphors they use: “I see what you mean” (visual), “I hear you loud and clear” (auditory), “I grasp the concept” (kinesthetic). Notice their eye movements when thinking (in NLP, looking up often indicates visual images, sideways for sounds, downward for feelings or internal dialogue) . These accessing cues give away which representation is prominent at each moment. If modeling a memory champion, for example, you might find they visualize numbers as images. Knowing that, you’d include developing visual memory in your model. Ensure your model accounts for the same sensory modalities the expert uses – using the wrong modality can make a strategy fail.
- Elicit the Sequence of Internal Steps: Use strategic questioning or replay to draw out the person’s mental strategy. Have the expert (or yourself, once you can perform it) walk through the task step by step, asking at each point: “What are you experiencing internally right now?” For instance: “When you decided to approach that client, what were you picturing or saying to yourself?” Get specifics: do they make a mental movie of a successful outcome first? Do they say a mantra internally to trigger confidence? Document the exact order: First they see X, which makes them feel Y, then they say Z to themselves, which leads them to do A… This sequence is the strategy code. Robert Dilts emphasizes gathering multiple examples and finding the common mental steps across them . If an element appears every time in the successful examples (and is absent in failures), it’s likely critical .
- Submodality Analysis: Submodalities are the fine details of internal representations – the qualities of images, sounds, feelings (like image size, color, brightness, sound volume, tonality, etc.). These often carry the power of an experience. Have the person describe their internal imagery or self-talk in detail. For example, a skilled musician might say when they practice mentally, they “hear the piece in full rich stereo” (auditory submodalities of volume, richness) and “see themselves performing flawlessly on a bright stage” (visual submodalities of brightness, perspective) – whereas an average player might imagine a dim, distant image of performing and hear a dull sound. Capture these submodalities . Sometimes changing a submodality (e.g. making an image bigger/closer) can dramatically affect performance or belief. Indeed, the very discovery of submodalities in NLP was a modeling breakthrough – it allowed mapping the subjective qualities that differentiate, say, a phobic response versus a calm response . When coding your model, you might instruct learners to visualize an image life-size and in color if that’s what the expert does, as those qualities can be crucial .
- Internal Dialogue and Key Questions: Many experts have a distinctive inner voice or set of questions they habitually ask themselves. For instance, a great project manager might constantly ask internally, “What’s the goal here? What’s the next action?” – a running dialogue that keeps them on track. Uncover any recurring self-talk scripts or questions in the exemplar’s mind. You can ask them, “When you’re in the middle of X, do you talk to yourself? What do you say or ask yourself exactly?” If the person isn’t aware, observe clues: do they mouth words or show expressions that suggest internal commentary? In your model, such internal prompts could become explicit instructions like “Ask yourself: ‘What can I learn from this?’ when facing a setback,” if that was the expert’s mental habit.
- Belief and Value Elicitation: Through conversation and observation, pick up on the expert’s beliefs about the activity and about themselves. Beliefs often surface in offhand remarks or emotional reactions. If a top salesperson says, “I know my product changes lives – selling is serving,” that’s a belief driving their motivation. You can also ask, “What allows you to persist after rejection?” – their answer reveals a belief (maybe “Every no brings me closer to a yes”). For values, ask broader questions like, “What’s important to you about doing this well?” or “Why do you excel in this? What do you get from it?” They might say “I value helping others” or “I value being the best” – very different drivers. Map any key beliefs/values that consistently empower their performance . While you may not install all of these in a learner, you should be aware of them. In your model, you might encourage adopting certain empowering beliefs (ensuring they’re positive and ecological) or at least addressing mindset. For example, NLP’s success models often include the belief “There’s a solution to every problem” or “feedback is a gift” because many high achievers share these frames.
- Meta-Programs (Thinking Styles): NLP uses the term meta-programs for deep cognitive filters (e.g. towards vs away motivation, global vs detail focus, internal vs external frame of reference). These patterns influence how a person organizes their experience. Notice if your model has strong tendencies: e.g. a CEO might always talk big-picture (global) and need others for details, or a champion athlete might be intensely self-referenced (driven by internal standards). While meta-programs are more abstract, adjusting them in a model can be needed for some learners. Identify any that stand out in your exemplar , such as “This person is highly visual and big-picture, and also very proactive rather than reactive.” Those traits can be part of the profile of excellence you share.
- Use the NLP Meta-Model in Elicitation: The Meta-Model is NLP’s set of language questions for clarifying and uncovering missing information (developed originally by modeling therapist Virginia Satir’s precision). Use Meta-Model questions to get specifics from the expert: when they use vague language like “I just feel it’s the right move,” drill down – “Feel it how, specifically? What tells you it’s right?” This can expose a sensory-based cue or a rule they follow. If they say, “I can’t explain, I just can,” you might ask “What would you see or hear if it was the wrong move instead?” to indirectly get their decision criteria. The Meta-Model helps recover the deep structure of their thinking so you can model it . (Note: use tact and explain your curiosity, so the person doesn’t feel interrogated. Many experts enjoy talking about their process if they see you’re genuinely interested.)
By applying these techniques, you create a rich inner map of the expert’s experience to complement the outer behaviors you observed.
An effective NLP model captures both the external actions and the internal representations/processing that drive those actions .
Remember, the focus is on how they think, not what they think about.
For instance, two writers might have totally different content to their thoughts, but both might use the same strategy structure (e.g. visualize scene → hear dialogue → write).
As a modeler, you abstract the structure from the content. When done, you’ll have a detailed picture of the expert’s neurology (sensory patterns), linguistics (language/thought patterns), and programming (behavioral strategies) – true to the name Neuro-Linguistic Programming.
Modeling Physiology and Unconscious Cues
Physiology – the way a person uses their body – is a massive part of NLP modeling, because state and behavior are deeply intertwined with performance.
Have you ever noticed how adopting someone’s posture or facial expression can make you feel a bit like them?
NLP takes advantage of that: by mirroring an expert’s physiology, you tap into their state of mind and capabilities.
Equally important is building sensory acuity to pick up subtle, unconscious cues that signal what’s going on beneath the surface.
Here’s how to approach these aspects:
- Mirror the Physiology Precisely: As mentioned in Step 2, copy the expert’s posture, gestures, breathing rate, facial expressions, eye focus, and movement quality . Do this during live modeling to gain the kinesthetic feel of being in their shoes. Also practice it when you’re not with the model: assume their stance and enter their physiology on purpose to evoke their state as a kind of anchor. For example, if you’re modeling a confident speaker, stand how they stand and breathe how they breathe whenever you rehearse – you’ll likely feel more confident because you’re using the “body of a confident person.” Physiological modeling often provides the fastest path to replicating someone’s emotional state or attitude, because our bodies and minds are one system. NLP trainer Joseph O’Connor noted that “body posture is shorthand for a state” – adopting the body can induce the mind to follow.
- Notice State Changes and Triggers: Use your sensory acuity to detect shifts in the person’s state. Pay attention to flush of skin (are they blushing when excited or angry?), muscle tone changes (do their shoulders drop when relaxed?), breathing (fast and shallow vs deep and slow), and eye focus (do they glaze over when internal, or sharpen focus when making a decision?). These are often unconscious signals of internal processes. For example, a slight nod or sudden inhale might indicate the moment they decided on an action. Note what external stimulus or thought preceded that shift – that’s a trigger point in their strategy. An expert might not say “now I feel motivated,” but you might see their posture lift at a certain point in their routine – that is your clue when motivation kicks in, and you can investigate what caused it. By mapping these cues, you uncover the unconscious timing and rhythm of their strategy, which you can build into your model (e.g. “take a deep breath and clap your hands – as our model unconsciously did to psych himself up – before executing the next step”).
- Use Peripherals and Whole-Body Listening: Expand your awareness to take in micro-movements. Grinder describes modeling by spending time near the model with open peripheral vision and minimal internal chatter, effectively soaking in the person’s micro-behaviors over time . This kind of observation can reveal things like: the model’s fingertips tremble slightly when they’re processing an intense thought, or they always tilt their head the same way when contemplating a question. These details are easy to miss but can be pieces of the pattern. “Whole-body listening” means you not only watch and hear the model, but also feel in your own body what their movements might feel like. Some modelers even report a sort of intuition or kinesthetic empathy, where by mirroring the person they get hunches (“I feel a sudden tightness in the chest – maybe the model felt anxious here”). While subjective, those hunches can be worth checking out with good questions.
- Calibrate Repeatedly: Calibration means establishing a baseline of the person’s behavior and then noticing changes against that baseline. For modeling, early on, get a sense of the person’s normal state in neutral situations. Then, as they enter their performance state or a critical moment, you can detect what changes. This contrast is illuminating. For instance, a therapist might be generally soft-spoken (baseline), but when using a certain technique their voice becomes suddenly commanding – a notable shift to model. Calibrate physiology to internal events: if you know their strategy sequence (from earlier elicitation), watch how their body corresponds. You might find, say, whenever they internally visualize a goal, their eyes move up and their breathing stops for a second – so that becomes a telltale marker you include in your model (“when visualizing the goal, hold your breath briefly to intensify focus,” for example, if that seemed to help the expert).
- Leverage Unconscious Modeling Methods: Besides straightforward observation, NLP has some esoteric but powerful methods to involve the unconscious. One such method is Deep Trance Identification (DTI) – where the modeler (with help of hypnosis) enters a trance and imagines themselves as the expert, merging identities at an unconscious level. This was inspired by anecdotes of Milton Erickson guiding patients to adopt traits of people they admired. While DTI should be done with proper guidance, it’s an advanced way to let your unconscious mind pick up patterns that even observation might miss. Another method is simply sleeping on it – after heavy immersion, letting your unconscious process overnight can yield intuitive insights or spontaneous skill improvements the next day (many modelers have experienced sudden “clicks” of understanding after a break).
- Recognize Unconscious Competence: The reason we focus on unconscious cues is that many top performers operate on “autopilot” for parts of their skill – they have unconscious competence. They might not be able to tell you what they do because it’s second nature. By catching those unconscious behaviors and physiological responses, you capture what they would never think to mention. For example, a skilled interviewer might unconsciously nod three times and raise their eyebrows to signal “tell me more” – they aren’t aware they do this, but it causes the interviewee to keep talking. Such a nonverbal pattern is gold for a model of effective interviewing. Document these nuggets and incorporate them into training drills (e.g. practice the triple-nod eyebrow-raise as a technique).
In summary, modeling physiology and unconscious processes is about getting in sync with the model’s body and nonverbal communication.
It increases the fidelity of your modeling tremendously – often the “secret sauce” of excellence lies in timing, tone, and tiny actions, not just big visible steps.
This aspect of modeling also underscores the importance of the modeler’s own state: you must cultivate patience, acute observation, and a quiet mind to truly perceive the subtle layers.
The reward is a far more complete model that accounts for body and mind as one – as NLP views it, “the processes behind human excellence” include both internal cognition and the external physiological expression .
Real-World Examples of NLP Modeling Success
To better grasp how NLP modeling works in practice, let’s look at several high-level applications by master NLP practitioners.
These examples illustrate the breadth of what can be modeled – from therapy and communication to creativity and sports:
- Therapeutic Communication – The Meta Model & Milton Model: The very first NLP modeling project was by Bandler and Grinder in the 1970s, modeling brilliant psychotherapists. They studied Virginia Satir (a family therapist) and Fritz Perls (Gestalt therapist) and captured the language patterns they used to facilitate change. The result was the Meta Model of Language – a set of clarifying questions therapists can use to challenge distortions and generalizations in a client’s speech . Similarly, they modeled Milton H. Erickson, the famed hypnotherapist, distilling his indirect hypnotic language into the Milton Model, a toolkit of artfully vague language that can induce trance and influence the unconscious . These NLP language models allowed other therapists to replicate the successes of Satir and Erickson without spending decades to develop those skills from scratch. They remain foundational in NLP training today.
- Excellence in Sports and Martial Arts: NLP modeling has been applied in sports to decode what champions do mentally and physically. An example cited by NLP-trained coach Tony Robbins is modeling Grandmaster Jhoon Rhee, who could train someone to earn a Tae Kwon Do black belt in 8 months instead of the usual 3-4 years . By capturing Rhee’s accelerated learning methods (such as specific focus drills, attitude, and practice frequency), Robbins could teach these to others for rapid martial arts advancement. Another classic NLP story involves modeling a successful free-throw shooter in basketball: researchers found the athlete visualized the ball going in from his own eyes and felt a certain rhythm, whereas others might visualize from outside or focus on form. Teaching the visualization strategy improved others’ free-throw percentages. These cases show that even kinesthetic and timing-based skills have mental patterns that can be transferred.
- Business and Influence Strategies: Modelers like Tony Robbins and others have modeled top performers in business and personal achievement. Robbins, for instance, modeled billionaire financier Sir John Templeton’s emotional patterns to understand how he stays calm and strategic in market turbulence. He also modeled marketing expert Jay Abraham’s strategies for explosive business growth, creating seminars on “Jay Abraham’s 3 ways to grow a business” (an NLP-modeled framework) . Another NLP project by Wyatt Woodsmall modeled the leadership skills of successful CEOs, resulting in a competency model that companies have used in training programs. Robert Dilts applied NLP modeling to entrepreneurship in his Success Factor Modeling series, identifying the common mindsets and practices of successful startups . These models have been shared in workshops worldwide, enabling entrepreneurs and leaders to shortcut their learning curve by adopting proven strategies rather than reinventing the wheel.
- Creative Genius Modeling: Robert Dilts undertook an ambitious series of modeling projects on historic geniuses – documented in Strategies of Genius Vol. I–III. He modeled figures like Albert Einstein, Walt Disney, Nikola Tesla, Mozart, and Aristotle, seeking to distill their creative thinking processes . For example, Walt Disney’s creativity strategy was modeled as a process of taking on three distinct roles: the Dreamer (visionary ideation), the Realist (practical planner), and the Critic (devil’s advocate) in a cycle. Dilts turned this into the famous “Disney Creativity Strategy” exercise, which is now taught in many creativity workshops to help teams generate and refine ideas by “thinking like Disney.” Likewise, modeling Einstein revealed a strategy of using visual imagination and thought experiments, which was coded into exercises for enhancing problem-solving. These examples demonstrate NLP’s ability to capture even abstract cognitive skills like creativity and make them learnable.
- Education and Learning Strategies: NLP modelers have improved learning and teaching by modeling students who excel. A classic example is the NLP Spelling Strategy. Researchers (including Dilts) modeled individuals who were exceptional spellers and compared them to poor spellers. They discovered that good spellers visualize the word clearly (often seeing it printed in their mind) and notice if it “looks right,” whereas poor spellers often sound out the word or feel it out kinesthetically . By teaching poor spellers to use the visual strategy – literally training them to form a mental picture of the word – NLP practitioners could dramatically improve spelling ability. This strategy was even turned into a computer program by Dilts and used in some educational software . Another example is modeling fast learners for skills like reading or math and discovering techniques like mental imagery or specific questioning habits that can be taught to others. The result is accelerated learning programs that owe a debt to NLP modeling.
- Health and Personal Change: NLP has a history of modeling in health contexts too. Dilts and others modeled people who experienced spontaneous remission from serious illnesses to understand the beliefs and imagery that might contribute to healing. This led to processes like the “Healing Belief” changes and the Allergy Technique, where Dilts modeled a person who overcame a severe allergy and extracted a mental visualization process to eliminate allergic responses . While these applications are more controversial, they showcase NLP’s willingness to model subjective experiences even in physiology. Another interesting modeling project was “The Phoenix” by the late NLP developer David Gordon, who modeled resilient individuals who thrived after trauma and encoded their coping strategies into a process others could use.
These examples barely scratch the surface, but they highlight a few points.
First, anything humanly achievable has a structure that can be modeled. NLP has been used to model fine motor skills, language patterns, decision-making, emotional resilience, you name it.
Second, the masters of NLP often became masters by doing modeling projects themselves – Bandler and Grinder with therapists, Dilts with geniuses and many practical skills, Grinder with new code projects, and so on.
Finally, modeling contributes to society by making excellence accessible.
Instead of just marveling at geniuses or champion performers, NLP offers a way to bottle their genie and let others drink of it.
When done ethically and skillfully, this can elevate performance in education, therapy, business, sports, and everyday life.
(For those interested in more case studies, look into NLP modeling of chess prodigies, negotiation experts, even group dynamics. There’s also cross-cultural modeling, like understanding how diplomats excel at cross-cultural communication. The possibilities are endless.)
Best Practices for Organizing, Testing, and Refining Your Model
Embarking on an NLP modeling project can be complex. Here are best practices to help you stay organized, effectively test your hypotheses, and iteratively refine your model for maximum accuracy and utility:
- Define Clear Outcomes and Scope: At the outset, specify what success looks like for your modeling project . Are you modeling for personal skill acquisition or to train others? What specific capability or result will indicate the model works? A clear outcome (e.g. “Develop a model for delivering a 10-minute persuasive pitch that consistently earns investor interest”) keeps you focused. Also, define the scope – sometimes a skill needs to be narrowed down. “Leadership” is too broad; “leading brainstorming meetings that yield actionable ideas” is clearer. A well-defined modeling outcome lets you know when you’ve reached the goal and prevents scope creep.
- Plan and Project-Manage the Modeling Work: Treat modeling as a project. Make a plan for gathering data: schedule observations, interviews, practice sessions, etc. . If possible, involve a team – having multiple modelers can provide additional perspectives (just be sure to align on methodology). Keep a journal or log of everything: observations, questions that arise, experiments you try, results of those experiments. This documentation will be invaluable when you start coding the model and want to recall how you derived it. Penny Tompkins and James Lawley (experts in symbolic modeling) suggest structuring the project in phases – preparation, data gathering, pattern detection, testing, etc. – so that you have checkpoints to review what you’ve learned and next steps .
- Use Multiple Exemplars and Counter-Examples: While modeling often starts with one exemplar, your model will be stronger if you cross-verify with others. If you can, model several people who have the skill, or at least compare notes with other examples from the same person . Find common denominators. Additionally, deliberately look at a counter-example – someone who should be able to do this skill but doesn’t, or a situation where the exemplar failed . By contrasting the critical factors, you ensure your model truly pinpoints the “difference that makes the difference.” For instance, if you model three great salespeople and they all do A, B, C, and you examine a mediocre salesperson and see they do A and C but not B – that highlights B as essential. This method guards against attributing success to something incidental.
- Iterative Testing and Feedback Loops: Adopt an experimentation mindset. Each time you form a hypothesis about the model (“I think X behavior causes Y result”), test it in action. Try altering that behavior and see if the result changes . If you can’t test on the exemplar, test on yourself or a willing colleague. Incorporate the principle “Fail fast, learn fast.” It’s better to make small tests throughout (e.g. in step 4, testing each component’s necessity) than to assume and be wrong later. When you start teaching the model, treat that as a continuation of testing – gather learners’ feedback, see where they struggle or get confused, and refine the instructions accordingly . Each feedback loop makes the model more bulletproof.
- Modularize and Organize the Model Elements: A complex skill might have many pieces. Organize your findings into categories – such as physiology, language, beliefs, environmental factors, etc. Many NLP models use a levels or layers approach: e.g. list behaviors at the behavioral level, mental strategies at the cognitive level, assumptions at the belief level. Robert Dilts’ model of Logical Levels is often used in modeling to ensure you’ve captured all layers: Environment (under what conditions does this work?), Behavior (what actions?), Capabilities/Strategies (how are actions organized mentally?), Beliefs/Values (why do this, what enables it?), Identity (who do they perceive themselves as while doing this?), and even Spiritual/Mission (bigger purpose). While not every project needs all levels, checking each can reveal if you missed something. For example, you might have all the behavior and strategy, but then realize the exemplar’s identity (“I am a closer”) is a huge part of their success – that’s a signal to include perhaps a step where learners adopt a confident identity in preparation.
- Ensure Transferability and Simplicity: There’s a saying, “A model should be as simple as possible, but no simpler.” Once you have a draft model, ask: Could a novice understand and apply this? If not, refine your explanation. Use plain language where you can; if you introduce NLP terms or jargon, define them operationally (or better, avoid them in training unless necessary). The model may involve sophisticated concepts under the hood, but your job is to make it usable. Testing on actual learners is the best way to see if it’s digestible. If learners consistently get stuck at Step 3 of your model, perhaps that step needs to be broken into two simpler steps or taught with a demonstration. Keep an eye out for unintended complexity – maybe you added an unnecessary belief that learners find hard to adopt; if it’s not critical, drop it or find a workaround. Elegance in NLP models means achieving the result with the least burden on the learner .
- Maintain Ecological and Ethical Checks: “Ecology” in NLP refers to checking the positive and negative consequences of a change. When refining your model, ensure that following it is healthy and ethical for users. This is part of organizing a good model too – it should include any necessary warnings or conditions. For instance, if you modeled a charismatic influencer and one element was an emotionally intense technique that could manipulate trust, ethically you’d coach learners to use that with care and integrity. Or if a certain belief is useful in performance but might harm interpersonal relationships, note that and perhaps modify it. A model, when shared, has impact on people’s lives, so ensure it’s a contribution to their excellence, not a detriment. Including an ecology step (like “check that this new behavior fits your values and benefits your goals”) can be a smart part of the model itself.
- Document the Modeling Process (for posterity): If the model is for more than just personal use, consider documenting how you modeled it – at least in summary. This can lend credibility (especially in professional environments) and helps others appreciate the depth behind the model. It also credits the exemplar appropriately. For example, if you create a workshop on “Leadership Communication Model,” you might briefly mention, “This model was created by observing and interviewing 3 top executives and identifying the common communication tactics that made them effective.” This transparency is often appreciated in academic or corporate settings, which might otherwise be skeptical of a “new model.” It also inspires others to value modeling as a process.
By following these best practices, you increase the chances of producing a robust, reliable model that stands up to real-world use.
Remember, modeling is part science, part art – you need rigor in testing, but also creativity in seeing patterns and representing them elegantly.
The end result should be a model that not only captures the original excellence with fidelity but is also efficiently organized and teachable, truly enabling people to transform their performance.
Pitfalls to Avoid and Mindset Shifts for High-Fidelity Modeling
Modeling at a deep level is rewarding but not without its challenges. Being aware of common pitfalls and cultivating the right mindset will significantly boost your effectiveness. Here are key things to watch out for, and the mindset shifts to embrace:
1. Avoid Analytical Overload – Embrace “Not Knowing”: A frequent pitfall is trying to analyze too early or impose your own theory on the expert’s performance. If you jump into interpreting why they do X or telling yourself stories (“Oh, they succeed because they’re extroverted, got it”), you stop observing objectively. This confirmation bias can blind you to the real pattern . Counter this by consciously adopting the “beginner’s mind” or know-nothing state . Remind yourself that your assumptions might be wrong or incomplete, and stay curious and open. It’s okay (even desirable) to feel a bit confused or awed by the model at first – that means you’re recognizing there’s something to learn. Enjoy the process of not understanding fully; paradoxically, that makes you a better learner. Trust your unconscious to pick up pieces even if your conscious mind hasn’t figured it out. The clarity will emerge later when you synthesize.
2. Don’t Merely Imitate Superficially – Seek Structure: Another trap is copying only the surface behavior without understanding the underlying structure. NLP likes to say, “model the process, not the person.” If you focus on being exactly like the person in every way, you may import irrelevant quirks and miss the transferable strategy. For example, you could wear the same lucky socks as a star athlete, use their catchphrases, etc., and still not replicate their skill if you haven’t modeled their mental game. So, look for the deep structure: the sequence, the decision criteria, the representations. Pay attention to why things work (after you’ve done the initial imitation). A good model finds the pattern that would allow someone else with a different personality or body to achieve the result. Avoid hero worship or magical thinking (“They’re just gifted”) – break it down into components that can be learned. Conversely, don’t dismiss something that seems odd if it truly shows up as essential. Sometimes an unconventional technique is the secret sauce. Distinguish pattern from person: if modeling Elon Musk’s productivity, his specific obsession with sci-fi might not matter, but his habit of rigorous scheduling and engineering first principles thinking likely does.
3. Beware of Forcing Your Own Beliefs/Style: As a modeler, you have your own filters. A subtle pitfall is unconsciously projecting your style onto the model – e.g. interpreting their actions through your preferences or even altering the technique to fit your comfort zone. This is dangerous, as you end up modeling yourself. For instance, if you value harmony and you’re modeling a hard-nosed negotiator, you might shy away from noting their confrontational tactics, thus watering down the model. Or you might dislike a belief they hold and thus ignore it, though it might be key to their confidence. To avoid this, maintain a stance of nonjudgmental observation while modeling. Bracket your own values temporarily and try on theirs (with awareness). Later, you can decide if a belief is unethical or unwise to adopt, but at least acknowledge it in the model and find an alternative that serves the same function if needed (e.g. they believe “I must win at all costs,” which you find unecological; maybe the function is high commitment, so you replace it with “I always find a way to win that aligns with my ethics”). In essence, be vigilant about your biases. Get feedback from others – they might catch where you altered something to suit yourself.
4. Caution When Adopting Beliefs and Identity: We touched on this, but it’s worth repeating: only integrate new beliefs or identity elements if they’re ecological for you (or your learners). High-fidelity modeling sometimes requires a temporary belief adoption – like truly convincing yourself “I am the best” because your model has an unshakeable self-belief. Trying that on can boost performance, but you must check the ecological impact (does it make you arrogant or clash with your values?). A mindset shift here is recognizing that beliefs are tools – you can hold one for a purpose and later set it down or modify it. NLP pioneers often would pretend to have the model’s beliefs intensely during performance, then “step out.” If a belief is beneficial and positive, keep it; if not, find a different empowering belief to fill that role. Also, guard against identity diffusion: when you step into someone else’s shoes deeply, ensure you “come back to self.” Maintain an observer stance that you are modeling them, not losing yourself. This is especially important in long projects or if the person has some toxic traits mixed with their excellence. In short, take on what’s useful, leave what’s not, and always preserve personal integrity.
5. Patience, Patience, Patience: A big mindset issue is expecting instant results. Modern culture often wants quick fixes, but high-level modeling defies that. It took Bandler and Grinder months to fully model the first therapists , and that was intensive work. You must be willing to invest time and effort – akin to a scientist doing research or an apprentice learning a craft. If you find yourself getting frustrated (“Why haven’t I cracked this yet?!”), reframe it: modeling is a discipline like Kung Fu , and every attempt is progress. Adopt the “no failure, only feedback” mentality wholeheartedly here . Each misstep or dead-end teaches you something. Celebrate small wins: maybe you haven’t replicated the whole skill, but you figured out a crucial sub-step – that’s success on the way to success. The mindset shift is from performance to learning mode – allow yourself to be clumsy, to mimic badly at first, to be confused. With persistence, the pattern will emerge and click.
6. Balancing Humility and Confidence: Modeling excellence requires a curious mix of humility and confidence. Humility because you must acknowledge someone is better than you at something and be willing to learn like a novice. Confidence because you need the belief that you can learn it and that the model you create will work. Avoid the pitfall of ego – e.g., not fully modeling because you think you already know a better way. At the same time, avoid the pitfall of inferiority – don’t put the model on a pedestal as inimitable. The attitude, as NLP co-founder Richard Bandler has often implied, is “If one person can do it, others can too – it’s just a matter of discovering how.” Keep a healthy respect for the exemplar’s skill, but firmly believe in your own capacity (and your future learners’ capacity) to match it through modeling. This balanced mindset will keep you driven and grounded.
7. Ensuring Ecological Outcome for All: Pitfall: focusing so much on the specific excellence that you neglect the bigger picture. Sometimes modeling a skill without context can lead to problems – for instance, someone might model a highly assertive communication style to use at work, but if applied blindly it could harm personal relationships. So, a wise modeler keeps an ecology check not just on beliefs but on the application of the model. Ask “Where and when is this model useful, and where might it not be?” and build that into your mindset. Encourage a flexible mindset in applying the model: “This is one way that works, but always check it fits the context.” The shift here is from a one-size model to a toolbox model – yes, you have a hammer of excellence, but not every situation is a nail. Great modelers often say the final secret is knowing when to use the model and when to adapt.
8. Enjoy the Process and Stay Congruent: Lastly, don’t forget to enjoy modeling as a journey of discovery. When you’re fascinated and engaged, your observational powers heighten and your learning soars. If you treat it like a slog or just a means to an end, you might miss creative insights. Keep a playful, inquisitive spirit – sometimes “goofing around” by exaggerating the model’s style or testing wild variations can lead to breakthroughs or at least keep you energized. Also, stay congruent – align this modeling project with your own values and interests as much as possible. If it feels meaningful, you’ll bring your best self to it. Mindset shift: from “I have to figure this out” to “I get to uncover something amazing and useful.” It’s practically a treasure hunt for the code of excellence.
In summary, avoid shortcuts that sacrifice depth, and avoid biases that distort the model.
Embrace being a flexible, curious, resilient learner. The mindset of a top-notch modeler is much like that of the people they model: passionate about improvement, undeterred by challenges, and always open to learning something new.
With these attitudes, you’ll not only produce better models, but you’ll grow personally – becoming a more keenly observant, adaptable, and insightful individual.
Why NLP Modeling Isn’t Just Practice, Coaching, or Feedback: It’s a Different Game
Traditional learning is outside-in.
NLP modeling is inside-out.
Most people try to learn from masters the traditional way:
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Watch them.
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Ask questions.
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Get feedback.
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Practice harder.
That’s valuable — but it’s not modeling.
NLP modeling is something fundamentally different.
Where most learning goes outside-in (copy the moves, memorize the script, try to understand), modeling goes inside-out. You become the expert first. You install their excellence — even before you fully understand it.
Let’s break the distinction down:
NLP Modeling vs Traditional Learning Approaches
| Aspect | Traditional Learning (Coaching/Practice) | NLP Modeling |
|---|---|---|
| Access to Expertise | Learner hears explanations, sees demos | Learner embodies the model unconsciously first |
| Focus | Repetition + correction | Immersion + decoding deep structure |
| How Learning Happens | Mostly conscious, verbal feedback | Starts non-verbal and unconscious |
| Knowledge Transfer | Expert explains what works | Learner installs what the expert actually does (often without the expert knowing) |
| Limitations | Only works if expert can explain their skill | Works even if the expert can’t articulate it |
| End Result | Learner understands the skill | Learner performs at the expert’s level |
Traditional methods ask, “What does the expert do?”
Modeling asks, “How do they experience the world in a way that produces excellence?”
The deepest insight?
Experts often don’t know how they do what they do.
Their genius is unconscious.
Their excellence is embodied.
If you ask them to explain it, they’ll give you a theory.
But if you observe and model them, you’ll get the real strategy.
You don’t need their explanation. You need their wiring.
That’s the power of NLP modeling.
You capture the code. You install the pattern.
And then you can do it — teach it — transfer it.
Further Resources and Training
To deepen your NLP modeling expertise, it’s valuable to study both classic literature (to understand the foundational methods) and current works (to see modern applications and refinements).
Here is a curated list of books, articles, and training resources:
- Whispering in the Wind (John Grinder & Carmen Bostic St. Clair, 2001): A seminal book focusing on the fundamentals of NLP modeling. Grinder (co-founder of NLP) outlines the modeling methodology used in the early days of NLP, emphasizing unconscious assimilation. It covers the distinctive steps of NLP modeling in detail and is considered a must-read for serious modelers .
- Structure of Magic I & II (Richard Bandler & John Grinder, 1975): The original NLP books that resulted from modeling Virginia Satir and others. Volume I lays out the Meta-Model of language (with linguistic distinctions and questions) derived from therapy sessions . Volume II continues with more language patterns and communication models. These are foundational texts showing how modeling can unveil the “deep structure” of communication.
- Patterns of the Hypnotic Techniques of Milton H. Erickson Vol I & II (Bandler, Grinder, 1975-1977): These volumes detail the Milton Model and other hypnotic communication techniques distilled from modeling Milton Erickson. They provide insight into how the modelers observed and coded Erickson’s patterns. Great for those interested in language and therapeutic modeling.
- Neuro-Linguistic Programming, Volume I (Dilts, Grinder, Bandler, DeLozier, 1980): Often referred to as “The NLP Reference Manual,” this book compiles many early NLP models and techniques. It includes chapters on representational systems, strategy elicitation, and the NLP modeling process . It’s useful for seeing how the founders codified their discoveries into teachable form.
- Modeling with NLP (Robert Dilts, 1998): A comprehensive guide dedicated to the NLP modeling process and its applications . Dilts walks through examples of modeling projects (including leadership skills) and provides a structured approach to gathering information, finding patterns, and designing models. This book is highly recommended for step-by-step learners.
- Strategies of Genius I–III (Robert Dilts, 1994-1995): These three volumes are fascinating reads that apply NLP modeling to historical geniuses . Each book covers several figures (e.g. Aristotle & Sherlock Holmes in Vol I, Disney & Einstein in Vol II, etc.), explaining their life and then presenting the inferred strategies that made them effective. Studying these can improve your ability to extract strategies from narrative descriptions.
- Unlimited Power / Awaken the Giant Within (Tony Robbins, 1986/1991): While these are self-help books, they are steeped in NLP modeling. Robbins shares techniques and insights he gained from modeling experts in various fields (from diet to persuasion). Unlimited Power in particular discusses the importance of modeling success and includes exercises on modeling the physiology and beliefs of successful people (though not in academic detail, it’s instructive in philosophy).
- “How to Do a Modeling Project” – Article by Penny Tompkins & James Lawley (available on CleanLanguage.co.uk): An excellent free article that outlines a structured approach to modeling projects . Tompkins and Lawley incorporate Clean Language (a technique for minimizing questioner bias) in the process. They cover defining outcomes, planning, and executing a project in clear steps. It’s a practical template you can follow.
- Expand Your World: Modeling the Structure of Experience (David Gordon & Graham Dawes, 2013): David Gordon was one of the early NLP developers. In this book, he revisits modeling with a fresh perspective, offering exercises and examples. On their website, an Introduction to Modeling is provided , outlining stages of modeling and benefits. Gordon’s approach may differ slightly from Grinder’s, giving you a broader toolkit.
- DBM (Developmental Behavioral Modeling) Articles by John McWhirter: McWhirter, an NLP veteran, created DBM to extend NLP modeling. His articles (on sensorysystems.co.uk) explain different types of modeling and their uses . They can enrich your understanding of modeling scope and the nuances of various modeling methods. Though theoretical, they sharpen your conceptual grasp.
- Stever Robbins’ Blog Post on NLP Modeling: Stever Robbins offers a thoughtful take on modeling’s history and concepts, including mention of the 4-tuple (a Bandler & Grinder concept for tracking sensory experience) . It’s a short but insightful read highlighting rarely taught aspects of NLP modeling (like how Bandler and Grinder created a coding system for internal experience ). Robbins’ perspective as both an NLP trainer and a business coach bridges theory and practice.
- The Encyclopedia of Systemic NLP and New Coding (Dilts & DeLozier, 2000): This massive work is like an NLP encyclopedia. For modeling, it includes entries and descriptions of most NLP models, plus info on New Code NLP (Grinder’s later work emphasizing unconscious processes). It’s a great reference if you want the big picture of NLP developments up to 2000.
- NLP Training Workshops (Practitioner, Master Practitioner, Modeling Specialties): Ultimately, learning by doing with guidance is invaluable. Consider enrolling in an NLP Master Practitioner program – these often include a modeling project as a requirement, where you work in a team to model a specific skill and present the model. Institutes like NLP University (Robert Dilts in Santa Cruz) have a strong focus on modeling. John Grinder’s NLP Academy and other reputable NLP centers sometimes offer specialized modeling seminars or New Code NLP trainings which sharpen your modeling skills by focusing on state, intuition, and micro-modeling tasks. Research and choose programs that emphasize modeling (some only teach techniques and skip modeling – you want the ones that cover it in depth).
- Join NLP Communities and Forums: Engaging with other NLP practitioners can expose you to new modeling stories and tips. The NLPU (NLP University) has an online community, and there are NLP research journals and forums (even subreddits or Facebook groups) where people share experiences. While not always authoritative, they can provide ideas for what to model or how others overcame challenges.
By diving into these resources, you’ll gain both theoretical knowledge and practical insights. NLP modeling is a rich field, and even decades after its inception, it continues to evolve.
New Code NLP, for instance, has refined aspects of the modeling process (like emphasizing the role of the unconscious and the modeler’s state even more).
Staying updated will help you become not just a user of existing models, but a continual modeler who can contribute fresh models to the NLP community.
Finally, remember that mastery in NLP modeling comes from doing.
Reading and training set the stage, but each modeling project you undertake will build your skill exponentially. Start with small modeling exercises (perhaps model a friend’s skill you admire), then gradually take on bigger projects.
Final Thoughts
NLP modeling isn’t coaching or feedback — it’s the shortcut to mastering excellence.
Learn the exact process to install elite performance from the inside out.
Most people try to learn brilliance. Modelers install it.
If you want to shortcut mastery, accelerate skill acquisition, and decode what even the expert can’t explain, NLP modeling is your superpower.
Excellence leaves clues.
NLP modeling helps you follow them — and pass them on.
With persistence, you will develop the intuition and acumen that all great modelers share – the ability to see patterns where others see mystery, and to unlock excellence for the benefit of all.
Pick someone you admire. Model one behavior.
Start there.
Who will you decode next—and what new capability will you unlock?
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