Are You Asking the Wrong Question?
Welcome to Episode #168 of NLP Around You.
🧠 Thoughtful Thought
“Your mind answers every question you ask it. Ask a better one.”
For your daily dose of Thoughtful Thoughts, get your Thoughtful Calendar here.
💬 NLP Quote Corner
“You can tell whether a man is clever by his answers. You can tell whether a man is wise by his questions.” — Naguib Mahfouz
⏳ One Minute NLP – The Two Words That Lie to You
Listen to yourself the next time something goes wrong. “You never listen.” “This always happens to me.” “He never gives me credit.”
In NLP, we call always and never universal quantifiers. They are part of the Meta Model, the toolkit that catches the moments when our language quietly bends the truth.
Here is the trick they play. One frustrating moment gets stretched until it covers every moment. A single instance becomes a lifelong verdict. And because the word feels true, the brain stops looking for evidence to the contrary.
But the contrary is almost always there.
Catch yourself the next time you say always or never. Then ask one question: “Always? Has there been even one time when it wasn’t so?” Watch how fast the exception arrives. One exception is all it takes to crack a generalisation open.
Always is rarely true. Never almost never is.
Want the full Meta Model and the language patterns that change conversations? It sits at the heart of our NLP Practitioner programme.
🔮 Meta Magic – Coaching Chronicles
The Manager Who Asked the Wrong Question
He sat across from me with the look of a man who had already tried everything.
A regional head. Sharp. Fifteen years of building teams. The kind of leader who reads two management books a month and underlines them.
He came with one question. He had been carrying it for months.
“Why is my team so disengaged?”
He said it the way you say something you have decided is final. Not a question really. A verdict wearing the costume of a question.
I did not answer it.
Instead, I asked him to say it again, slowly.
“Why… is my team… so disengaged.”
“Good,” I said. “Now notice what your brain does with that question. You have asked it to go and find proof that your team is disengaged. And your brain, being a faithful servant, will find it. Every late reply. Every quiet meeting. Every blank face. It will bring you a full file.”
He nodded slowly.
“So let me ask you a different one. Who on your team was engaged last week? Even once. Even briefly.”
He paused.
The pause was long.
Then, almost reluctantly, two names. A junior who had stayed back to fix a deck nobody asked her to fix. A quiet engineer who had spotted an error that saved them a client call.
“What were they doing differently?” I asked.
And now he was not slumped any more. He was leaning in. Talking faster. Three minutes ago he had a disengaged team. Now he had two engaged people and a pattern worth studying.
Nothing about the team had changed in those three minutes.
Only the question had.
This is the quiet secret of the Meta Model in NLP. Our minds are not neutral. They answer the exact question we feed them, and they answer it obediently. Ask a vague, hopeless, all-or-nothing question, and you get a vague, hopeless answer that feels like the truth.
“Why is my team so disengaged” deletes the people who care, generalises a few moments into a permanent state, and hands you despair dressed as insight.
The fix is not a better attitude. It is a better question.
He left with one piece of homework. Replace every “why is everyone” question with a “who, specifically, and when” question. For one week.
He messaged me eight days later. Two lines.
“Same team. Different manager. Turns out I was the one who was disengaged, from the right question.”
So let me ask you.
What is the one question you keep asking yourself that has only ever handed you the same tired answer?
And what would change if you altered just one word in it?
📖 Hook from the Book
“We don’t see things as they are, we see them as we are.” — Anaïs Nin, Seduction of the Minotaur
🎬 Movie Motivation
“Kitne aadmi the?” (How many men were there?)
This line from the movie Sholay reminds us that the right question forces the missing detail into the open. That is exactly what the Meta Model does in NLP: it recovers the specifics our minds quietly delete.
🏆 Winning Post of the Week
Honoured and deeply grateful to receive the 𝗥𝗼𝘁𝗮𝗿𝘆 𝗩𝗲𝗿𝗶𝗳𝗶𝗲𝗱 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 recognition for W3 Success Academy. This acknowledgement is not just about a business. It is a reminder that values, integrity, trust, and ethical leadership still matter deeply in the world of work and entrepreneurship.
W3 Success Academy Recognised by Rotary
Missed the past issues of NLP Around You? Find them all here:
https://w3coach.com/nlparoundyou/
Thoughtfully Yours,
Mehernosh Randeria
Your W3 Coach

















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