You Don’t Know If You Don’t Ask

You Don’t Know If You Don’t Ask

Early in my career, I got labeled “problematic.”

Not because I missed deadlines. Not because my work was sloppy. Because I asked questions. “Why are we doing it this way?” “What happens if this doesn’t work?” “Who actually owns this?” Apparently that was friction. Apparently the preferred move was to nod, take the assignment, and quietly build the wrong thing.

It took me years to figure out what was actually happening there, and here’s the thing: humans don’t want to be asked. We don’t like being challenged. A question about the plan feels like an attack on the planner. Even patient people have a limit, and you can feel it in the room when you hit it. The sigh. The “as I already said.” The glance at the clock. Every question you ask a human costs you something, and the budget runs out fast.

I learned to ration my questions. I’d guess a lot of you have too. You sit in the meeting, you have the question, and you do the math: is this worth spending capital on? Usually the answer is no. So the question dies, and you go figure it out alone, badly, later.

Generative AI isn’t human.

You can ask it questions all day long and it will not get fatigued, irritated, or defensive. It won’t sigh. It won’t think less of you. It won’t remember that you asked the same thing yesterday. It has no ego to protect and no meeting to get to. The social cost of asking, the thing that trained all of us to stop, just… isn’t there.

And here’s the part nobody says out loud: no one is watching. The question you’d never ask in front of your team, the one that feels like it would reveal too much? You can ask it here, and no one at work will ever know you didn’t already have the answer.

Which is why the exact behavior that made me “problematic” twenty years ago is now the single most valuable skill in working with generative AI.

You don’t know what these tools are capable of unless you ask.

Most people are using 10% of the tool

Here’s the pattern I see constantly. Someone tries generative AI, does the three things they saw in a demo (write an email, summarize a document, brainstorm some headlines), and quietly concludes that’s what it does. That’s the whole relationship. The tool becomes a slightly fancier autocomplete, and they move on with their lives.

And honestly? I get it. These tools don’t come with a manual. There’s no course catalog. Nobody hands you a list of capabilities, because the list is too long, it changes monthly, and half of it depends on what you’re trying to do anyway.

So the capability gap isn’t a knowledge problem you can read your way out of. The only way to find out what generative AI can do for you, specifically, in your job, with your work, is to ask it.

Not ask Google. Not ask a webinar. Ask the tool.

Let me give you the example that proves it

Claude Code.

If you haven’t heard of it, Claude Code is a tool that lets AI actually do work on your computer: build things, fix things, automate things. It also has a reputation for being a developer tool. It lives in a coding environment. The demos are full of people who type in green text on black screens on purpose.

So if you’re not a coder, every instinct says “not for me.” It feels intimidating. It feels like there’s a secret handshake, and you don’t know it, and asking would reveal that you don’t know it.

If you know me, you know I’m not the coder in this company. Chris is the tech side of Trust Insights. I’m the people person who runs the business. And I use Claude Code to help maintain our website.

Here’s the entire trick, and I want you to see how dumb it is (complimentary): I opened the chat and asked how to get started.

That’s it. That’s the secret handshake. I told it, in plain English, “I’ve never used this before and I’m not a developer. Walk me through getting started, step by step.” And it did. Plain language. One step at a time. It told me what it could do, asked me what I was trying to accomplish, and waited patiently while I figured things out. No judgment. No eye rolls. No “wait, you don’t know that?”

The intimidating part was never the tool. The intimidating part was the assumption that I needed to already know things before I was allowed to ask.

Sound familiar? It’s the same rationing instinct from every meeting where the question died in your head. Except this time there’s no budget. Ask the follow-up. Ask the follow-up to the follow-up. Ask it to explain the answer like you’re brand new, because you are. It’s the one coworker that never gets tired of questions, which, given my history, might be why we get along.

The questions that unlock everything

You don’t need better prompts. You need better questions. Here are the ones I use with any AI tool, including the intimidating ones:

• “What can you help me with?” Describe your job, your project, or the mess you’re staring at, and ask what it can do. You will be surprised. Every single time.
• “I’ve never done this before. Walk me through it step by step.” Say the quiet part out loud. Tell it you’re a beginner. The explanation you get back will be built for you, not for the expert you were pretending to be.
• “What do you need from me to do this well?” It will hand you a list. Answer the list, and the quality of what you get back jumps.
• “What am I not thinking of?” My personal favorite. This is the question that turns the tool from an order-taker into a thinking partner.

One thing before you go asking, though. Know what you’re trying to accomplish first. It’s the Purpose question, and if you’ve followed the 5P Framework by Trust Insights™ for any length of time, you knew I was going to say that. “Show me what you can do” is a fine opener. “Help me stop spending four hours a week formatting this report” is where the magic happens.

The moral of the story

The people getting real results from generative AI aren’t the ones with secret prompts or technical backgrounds. They’re the ones who ask. They ask the tool what it can do. They ask it how to get started. They ask the “dumb” question, out loud, and read the answer.

Asking questions got me labeled problematic. It also got me a company, a career, and apparently a working knowledge of a developer tool I had no business being comfortable with.

You don’t know if you don’t ask. And now you know.

So here’s my question for you: what’s the one AI tool you’ve been avoiding because it felt like it wasn’t for you? Go open it and ask how to get started. This is a fifteen-minute experiment, not a weekend project. You can try it before your next meeting.

What questions are you hesitant to ask?

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– Katie Robbert, CEO

Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.