Neurolinguistic Programming – 15 Protocols to Master Modeling Technology

It has come to my attention that many neurolinguistic experts are propagating NLP in the form of its applications. While this is not a bad idea, because it definitely is more commercially viable, it creates confusion in the marketplace.

How many of you actually saw that NLP was a motivational training program? Or maybe, it was something to do with pop psychology? In reality, NLP is none of these. It can be literally everything you wanted to be. And that is why, this article was written to help make clear the fact that NLP is all about modeling someone’s expertise.

Now, I’m not talking about modeling as in catwalks. What’s more specifically important for the process of modeling mastery is understanding how the human psychology works. I need to know what’s going on inside your mind. The only way for me to do this is to observe your behavior, listen to your language use, and also the kinds of reactions you have in relation to the rest of the world around you.

Various protocols in modeling. Each of these protocols will help define how you process the model itself.

1 Awareness: develop sensory acuity, modeling models.

We first need to be aware of the things around us, especially of patterns of behavior in our models. This can be done by using sensory training systems. In fact, there are more senses (including infrared sensing, vestibular sensing) that contributes to our reality. Without a proper training system, you would be less intuitive, less flexible in your responses, let along create change in others.

2 Recognition: Identify and recognize role models and results

How do you know who your role models are? Start looking. Perhaps you will even find some role models right under your nose because you didn’t consider them as such. Just remember that anyone who is achieving some result better than you can be considered a role model.

3 Outcome: Why is it that you want to model after this person?

This is an important question. Your outcome, values and what is important to you will drive you to learn how to do this so that you are committed to it, rather than having a skill half-baked.

4 Triggers: What gets it started?

Every human behavior is triggered off by the external surroundings and mediated by internal processes. To get a complete modeling blueprint, you must have awareness of the triggers that initiated those processes. They are sensory in nature and are part of a domino effect of mental processes we are not really aware of.

5 Chunking: What are the parts of this model?

In understanding chunking, a model often does not give you clear directions in terms of what to do unless you control the responses. You must know how to break the overall strategy into parts in order to have a logical flow of ideas and processes. Without this, you have lots of ‘content’ but no ‘context’ that you can have a clear application on.

6 Sequencing: How do the parts connect? Do I see anything missing?

As with any process, you need to ensure that the mental blueprints are connected properly. Without the correct flow between chunks of the mental blueprint, you often end up with gaps and have to speak to your model again.

7 Metaphor: What metaphor is this model like?

This is something I might do to get a richer map of the experience. A model who is able to provide a deeper, richer map will give me finer distinctions of their mental blueprint. So, it’s different “being a good golfer” compared with a “champion of the green”.

8 Contrast: How does this strategy of excellence compare with a mediocre one?

You need to sometimes make comparative explorations. If someone is good at cooking, what is it benchmarked against? If you have comparative data, ask the model to analyze that and find out what the difference is between this level of performance compared with his/hers.

9 Evidence: How do I know I’m doing it right?

In NLP, we talk about evidence procedures. Everyone has a map of the world that filters information. You simply need to filter it correctly (i.e. are all the things that need to be present in my strategy) to know you are “good” at doing this skill.

10 Stakeholders: Who are stakeholders involved in this?

This may be an odd question, but it points to the NLP concept of ecology. Who is important in the modeling process? After all, sometimes, you have systemic involvement that enhances performance of some kind (e.g. team spirit, a supportive spouse, etc).

11 Stakeholder evidence: How do they know I’m doing this right?

Again, this is an evidence procedure that is based on an ‘external’ outsider’s viewpoint. You may not always get this because the individual might not have external feedback. Still, it is useful to be able to get some input if you can.

12 Barrier: What obstacles might there be?

Obstacles are stoppages toward the completion of a strategy. Identifying these will give you awareness of the level of flexibility you need to execute the strategy effectively.

13 Feedback: What do I do when I meet these obstacles?

This is a follow up on #12 where you need to have substrategies that enable you to stay on your path toward your outcome.

14 Exceptions: Any exceptions to the model? Counter examples?

This question will give you possible segue out of the current model. It can offer some shortcuts or conditional factors that allow you to reach your goal faster.

15 Installation: internalizing the model

This part is all about putting the model’s blueprint into your unconscious. Just as language is unconscious, you want to turn the new model’s behavior into something so effortless that you reach a level of expertise.

Again, whatever is mentioned here is merely the surface of the overall map. To gain more expertise, you definitely need someone to guide you and demonstrate the finer elements of modeling.


National Book Festival 2010 Hits the Science and Technology Topics

Recently at September 25, 2010, the 10th National Book festival 2010 took place on the National Mall in Washington DC. Science and Technology books draw the attention of the visitors. Some books written by the famous writers were the hot topic of the entire festival. In the festival some writers gave presentations followed by the question and answer session. This was one of the main attractions of the fair. Each and every author tries to highlight their recent works and try to pinpoint the significant of his/her writings.

Edward O. Wilson, biologist, has published his first fiction book named Anthill. Richard Rhodes, a nuclear weapons historian tried to promote his forth volume of the series the creation and spread of nuclear weapons is another attraction of the festival. In this book history was given from the cold war to the present time. The extension of the nuclear weapon of mass destruction is the main focus in his writings.

Harold Varmus, a Nobel Laureate for his contribution came up with his recent memoir, The Art and Politics of Science. This book discusses about different aspects of politics of science got good attention in the civil society. Those three books and speech of the writers were very much informative and touching for the book lovers.

Henry Petroski who is professor of civil engineering at Duke writes about why things fail. In his recent writings “The Essential Engineer: Why Science Alone Will Not Solve Our Global Problems”. In his writings he focused on solving problems using science. Scientific facts in various problem solving issues got attraction of the visitors of the fair. He also tries to distinguish between science and engineering using the linear model. He claims that contemporary policy to science is very much short-sighted.

There are some other scientific topics highlighted in the fair. Allegra Goodman wrote new work “her novel intuition” and Richard Holmes in his book “the age of wonder” tries to discover the scientific discoveries, prominent scientists of the late 18th and early 19th century. These two pieces were much talked books in the festival.

The recent national book festival 2010 can be said the science and technology dominating fair. Various new books about modern science and technology are published and inaugurated in the books fair. Country renowned writers try to bring new books in the festival to attract. So in a nutshell national Book Festival 2010 was seen dominated by the science and technology.


Business Intelligence Software: The Importance of Getting the Right Information at the Right Time

Today’s businesses thrive on data. And trust me, there is an endless variety of data for them to gobble up and digest all in the name of maintaining the highest level of business intelligence possible. There are examples of data that would include things like: who sold what products, who bought what products, who makes the products, how much the products cost to make, what customers think of the products. The list can go on forever. All of this and so much more are typically shoved into numerous databases of one form or another, and all of which are usually scattered throughout the corporate infrastructure and sometimes throughout the globe. Therein lies the problem. How do you go about getting all of this information from all of these different places? If you ask me, the real definition of business intelligence is having the right data at the right time. This is crucial to making the right business decisions for any company. Having the ability to gather up all of the critical information from its various storage points and ultimately put it into a format that you can effectively use.

As if that weren’t enough, having the ability to get it when you want it is yet another need. These are the main things that any corporation would want from a business intelligence software package. Sure, there are usually some standard reports included with most office oriented software, but are they really useful? Are they flexible enough to adapt to your company’s individual needs? Do they provide the custom views and analysis of your company’s data that you ultimately need? Chances are they do not. And chances are, in order to even get remotely close to your reporting goal, you will have to run a vast number of these reports on the vast number of your systems. Of course, then you still have to make yet another report out of the Everest sized pile of reports you just created. This is obviously not very efficient, and truly has the potential to put your company behind the ball in this fast paced business world.

So what do you do? How do you get around this issue and efficiently provide your business with the data it needs to stay dynamic and evolve with the ever changing business environment? The answer is easy: Q-NET Report. Q-NET is the business intelligence software that your company has been looking for period. Now you can get the data from anywhere it happens to reside. Now you can create a completely custom view of it and even put it in one spot. You no longer have to be dependent on your I.T. department for creating custom reports. Q-NET allows you to do the proper reporting and comparative analysis that helps your company spotlight potential opportunities in the marketplace or even potential threats. Now you can have the right information at the right time and take action instead of being surprised when you realize your company has missed the boat. When you need your data now, Q-NET can deliver.