When AI makes answers cheap, what’s really valuable is whether your questions are accurate enough
In the past two years, the most common sentence I have heard in corporate training, consulting, and university classes is: “Teacher, now that AI is available, what else do we need to learn?” I usually do not rush to refute, but only slowly ask: “What result do you want to use AI to help you achieve?” Because, I am more and more sure: in AI In this era, answers have become cheaper and even a bit common; but those who can ask accurate questions, clarify the situation, and even ask what the other party really wants can more easily widen the gap.
“Key skills for accurate questioning: communication, negotiation and AI The Strongest Communication Technique of the Age” (original title: “Head of the Head”) is a book that takes the question-asking from intuition, talent and eloquence back to a technique that can be learned, practiced and replicated. The traditional Chinese version is published by Shangzhou, with a publication date of August 7, 2025. It is considered a very new book.
The reason I like it is very simple: it does not talk about metaphysical high EQ or charismatic communication, but uses sentence patterns that can be directly applied to teach you how to use questions to gain dominance, clarify information, build trust, and finally push the other party to take action in meetings, negotiations, negotiations, and even daily conversations.
Turn seemingly simple questions into field control techniques and thinking formulas
Many communication books always talk about asking questions in a romantic way, as if you can ask good questions as long as you are sincere, curious, and willing to listen. But in the real workplace, the situations you will encounter are often rougher: lack of time, broken information, the other party’s emotions, or the supervisor adds a question at the last moment, and the client has not focused on the topic for two hours… At this time, asking questions is not romantic, but life-saving.
The layout of this book is very pragmatic, basically advancing along the situation, allowing you to use questions as a toolbox:
- Chapter 1: Questioning methods to derive useful information (clarify definitions, fill in gaps, focus on key points, tactfully refute, etc.)
- Chapter 2: Questioning methods to make negotiations go smoothly (negotiation, persuasion, testing position, asking the other party to say YES, choosing one from three, etc.)
- Chapter 3: Ways to ask questions to win trust (ease the atmosphere, integrate into the circle, shorten the distance, agree first and then ask questions, etc.)
- Chapter 4: How to turn a crisis into an opportunity by asking questions (breaking deadlocks, hypothetical questions, rejecting unreasonable demands, how to ask when the other party turns against you)
- Chapter 5: Questioning methods to guide others’ actions (coaching questions, leading the team, admonishing and encouraging, promoting the next step)
And I think its most noteworthy highlight is that the author formulates questions. For example, 3WHAT and 3W1H are often mentioned by readers in the book (used to turn abstract words into concrete, and turn scattered descriptions into judgmentable information). Some Japanese book excerpts have also clearly organized the three perspectives of 3WHAT: definition, phenomenon, and results.
What’s more important is that the author Higuchi Yuichi is a person in the field of writing and argumentation training. He has been teaching compositions and short essays for many years, and in turn regards asking questions as a thinking and organizing technique. He also has a background in writing guidance at “White Blue School”.
So you will find that the questions in this book are not for the purpose of winning over the other party, but for the purpose of asking clearly and asking the question out of its skeleton - this is particularly practical for writers, lecturers and consultants like me.
Why in the AI era, questioning skills have become more important
If you think of AI as a super assistant, then asking questions is the work instructions you give it. But the reality is: AI is good at answering, but it doesn’t necessarily know what you really want. It can still give you a seemingly complete reply when you ask vague questions; the problem is, you may be deceived by that sense of completeness and mistakenly think that you have understood, made a decision, or moved forward.
I often use a workplace situation to explain to students:
If you ask your colleagues at a meeting: “What are we going to do about this event?”
What you get is usually a lot of practices, which sound great, but I dare say you still don’t know what to do first when you go back.
But if you switch to the 3WHAT rhythm and ask, it’s like putting on a pair of glasses, and the whole world in front of you will suddenly become clear:
- “When you say “how to do it”, which part of “doing” are you referring to? Process, resources, or results?” (Definition)
- “What is the current stuck phenomenon? Is it because there is no material? There is no budget? Or there is no consensus?” (Phenomena)
- “If we stick to the original plan, what is the most likely outcome? If we change the plan, what will be the outcome?” (Result)
This set of questions also applies to conversations with AI. Because the more precise your questions are, the more satisfactory the AI output will be for you. What’s more important is: after you use questions to establish your ideas, it will be easier for you to see the loopholes and blind spots in the AI’s answers and avoid taking its output as the truth.
Further reading: Can you use AI to write? The key is how you ask
I also like the reminders in this book in areas such as negotiation and negotiation: asking questions is not just about gathering intelligence, but it can also set the other party’s thinking framework, and even take the rhythm of the conversation back into your own hands. For example, rhetorical questions or one-of-three-choice questions mentioned in the book are typical field control techniques.
Put in an AI scenario, it will become a basic skill of Prompt Engineering - you no longer throw away a big question, but cut the question into selectable, verifiable, and iterable instructions.
I even think that the questioning power in the AI era has a new task: verifying the reliability of answers. Because AI sometimes says the wrong things seriously, you must develop the habit of “questioning and cross-confirming” - this also echoes what many readers mentioned in their trial reading experience: when communicating with AI, getting to the point and verifying the reliability of answers will become more important abilities.
Treat questions as your second homework system: three of my own practices
After reading this book, the clearest sentence in my mind is: **The questioner is like the host, responsible for taking care of the situation so that everyone can move on. **
In the AI era, moderators not only host conversations between people, but also host the relationship between you and tools, you and information, and you and decision-making.
Therefore, I will give myself three very practical practice directions as the conclusion and extension of this book:
First, change “I’m sorry to ask” to “Let me ask for the definition first.”
Many people dare not ask because they are afraid of being stupid; but an expert will ask because he knows that if the definition is not clear, everything will be distorted. Use a sentence pattern such as “To be precise, what do you mean?” to turn the question into a professional one rather than an offensive one. This is exactly the underlying skill repeatedly emphasized in the first chapter of this book.
Second, treat every communication as information sampling
You’re not asking for the sake of chatting, you’re asking for the purpose of making a decision. Fill in whatever piece of the puzzle is missing: time, conditions, exceptions, risks, or success criteria. At this time, 3W1H is like your sampling form, helping you turn vague spoken words into executable plans.
Third, when talking to AI, always save the next question
My most common approach is to let the AI answer first, and then I immediately ask two things:
- “What is the premise for your conclusion?”
- “If the premise is not true, what is the alternative?”
This is actually to move the “positive and negative questions” and “turning crises into opportunities” in the book into AI conversations, so that you will not be kidnapped by a single answer.
Extended reading: Freelance worker survival guide in the AI era
Finally, I want to tell you in the tone of a writer: the power of questioning is actually a gentle power. It is not being pushy, but being willing to go the extra mile, listen to the other person’s words completely, clarify the outline of the matter, minimize misunderstandings, and push cooperation to the next level.
When the world is full of shortcut keys, people who are willing to ask questions seem to be living in a slower but more accurate way.
And this book “Key Skills for Accurate Questioning” is the kind of book you put on your desk and can’t help but read and apply over and over again, and finally silently upgrade your interpersonal interactions, workplace negotiations, and even AI collaboration capabilities as a whole.
If you want to know more about questioning skills in the AI era, you are also welcome to follow my subsequent courses.
Extended reading:
- Copywriting power is your “cashability”: before turning ChatGPT into a godly teammate, you must first make yourself stronger
- It’s not that you don’t work hard enough, it’s that the value proposition is not attractive enough
