How to Use AI for Questioning Techniques

Most people use ChatGPT to get answers. But the real value? Sometimes it’s in getting challenged. I came across (and started using) a prompt that completely changes how AI responds. Instead of just agreeing — it pushes back. It questions your logic. It makes you think harder. Here it is ⬇️ Prompt to try: “From now on, do not simply affirm my statements or assume my conclusions are correct. Your goal is to be an intellectual sparring partner, not just an agreeable assistant. Every time I present an idea, do the following: Analyze my assumptions. What am I taking for granted that might not be true? Provide counterpoints. What would an intelligent, well-informed skeptic say in response? Test my reasoning. Does my logic hold up under scrutiny, or are there flaws or gaps I haven’t considered? Offer alternative perspectives. How else might this idea be framed, interpreted, or challenged? Prioritize truth over agreement. If I am wrong or my logic is weak, I need to know. Correct me clearly and explain why. Maintain a constructive, but rigorous, approach. Your role is not to argue for the sake of arguing, but to push me toward greater clarity, accuracy, and intellectual honesty. If I ever start slipping into confirmation bias or unchecked assumptions, call it out directly. Let’s refine not just our conclusions, but how we arrive at them.” It turns ChatGPT into less of a “yes-man” and more of a tough coach who won’t let you get away with weak ideas. If you’ve been using AI for brainstorming, strategy, or decision-making — this can be a game-changer. What do you think? Would you try this out? 👇 #AI #ChatGPT #CriticalThinking #PromptEngineering #LearningMindset

Prompts don't build products. Precision does. What makes AI actually useful for technical teams? It's not what most engineers think. It's not the model. Or the hype. Or throwing questions at ChatGPT. It's how you ask. Every time. The best technical leaders don't use AI like a search bar. They use it like a thinking partner. They: ✅ Build error checks into prompts ✅ Define formats for clean results ✅ Refine outputs through iteration ✅ Set boundaries to control scope ✅ Assign roles to shape perspective ✅ Load context to maintain continuity ✅ Show examples before asking for output ✅ Break complex problems into reasoning steps These aren't shortcuts. They're the foundation of reliable AI. Because they require something most teams skip: Intentional design. Effective prompting isn't about asking faster. It's about asking smarter. Structuring better. Staying precise when complexity grows. If you're a technical leader, this is your edge. 8 prompting techniques that unlock real AI value: 1. Role-Based Prompts – Assign expertise to shape tone and depth 2. Constraint Setting – Define limits on length, style, and scope upfront 3. Iterative Refinement – Treat prompts like code—test, tweak, improve 4. Error Handling – Anticipate edge cases and build fallback instructions 5. Few-Shot Learning – Provide examples so AI learns your exact format 6. Context Loading – Feed background info so AI remembers what matters 7. Chain-of-Thought – Guide the model to reason step-by-step through logic 8. Output Formatting – Specify structure (JSON, tables, lists) for clean integration    The result? Outputs you can trust. Workflows that scale. And AI that actually ships value. Because in a world full of noise, precision stands out. And in a room full of tools, technique still wins. Your team doesn't need more AI access. They need better AI execution. ♻️ Repost to help a technical leader in your network. Follow Aditya for more AI insights.

Have you argued with your AI recently? Using it to question my answers, rather than just answer my questions has been a game changer. "I'm about to [make this decision/send this proposal/launch this project]. Please challenge my assumptions. What am I not seeing? What questions could I be asking? What could go spectacularly wrong? Be constructively critical." 🤖 It helps fight confirmation bias - Instead of seeking validation, I'm hunting for blind spots 🤖 It's not scared of hurting my feelings or damaging our relationship 🤖 It's endlessly patient - I can keep pushing back: "But what if...?" "Have you considered...?" Obviously then, you can push back and question it further too, as the golden rule is never accept the first answer! Real example from last month, playing with some new ideas: Me: "If I translated my book to Welsh, what should I consider?" Claude gave me a heap of ideas around funding and grants, distribution, translation, promotion and suitable metaphors I hadn't considered. Most of us are surrounded by people who either can't challenge us (they don't have context) or won't (they don't want conflict). AI fills that gap perfectly. Don't just use it to make things faster. Use it to make things better. Remember: "nibble rather than scoff" - start small, take baby steps. #AIDay #CriticalThinking

𝗦𝘁𝗼𝗽 𝗮𝘀𝗸𝗶𝗻𝗴 𝗔𝗜 "𝗛𝗼𝘄 𝗰𝗮𝗻 𝘆𝗼𝘂 𝗵𝗲𝗹𝗽 𝗺𝗲?" 𝗦𝘁𝗮𝗿𝘁 𝗮𝘀𝗸𝗶𝗻𝗴 "𝗪𝗵𝗮𝘁 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗮𝗺 𝗜 𝘀𝗼𝗹𝘃𝗶𝗻𝗴?" Most people open ChatGPT and type vague requests like "help me with marketing" or "give me business ideas."  Then they wonder why the responses feel generic. The issue isn't the AI. It's your question. Problem definition beats prompt engineering every time. Instead of: "Help me grow my business" Try this: "My sales team is missing 30% of quarterly targets. Deals slowed from 60 to 90 days. Each missed quarter costs $2M in projected revenue." Now AI can actually help you. With a clear problem, you can ask targeted questions:  • Analyze patterns in top-performing deals  • Research what drives faster sales cycles in your industry • Generate hypotheses about pipeline bottlenecks 𝗧𝗵𝗲 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲: 1. Define the specific problem and its business impact 2. Quantify what success looks like 3. Use AI to research and validate solutions Six months of applying this approach will transform how you work.  Not because you become an AI expert, but because you master problem definition. The best AI users aren't prompt engineers. They're problem definers. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://lnkd.in/eHDpy-fn Found this helpful?  𝗟𝗶𝗸𝗲 𝗮𝗻𝗱 𝗿𝗲𝗽𝗼𝘀𝘁 to share with your network. 𝗙𝗼𝗹𝗹𝗼𝘄 𝗺𝗲 for more insights on using AI strategically in business. Got a specific problem you're trying to solve? 𝗗𝗠 𝗺𝗲 - I'd love to hear about it.

These 3 AI prompts save me 6 hours every week. Copy them: 🧠 THE SOCRATIC DEBUGGER Instead of asking AI for answers, make it ask YOU the right questions first: "I have a problem with {{problem_description}}. Before you provide a solution, ask me 5 clarifying questions that will help you understand: 1. The full context 2. What I've already tried   3. Constraints I'm working with 4. The ideal outcome 5. Any edge cases I should consider After I answer, provide your solution with confidence levels for each part." Why this works: Forces you to think through the REAL problem before diving into solutions. 📊 THE CONFIDENCE INTERVAL ESTIMATOR Kill your planning paralysis with brutal honesty: "I need to {{task_description}}. Provide: 1. A detailed plan with specific steps 2. For each step, give a confidence interval (e.g., '85-95% confident this will work') 3. Highlight which parts are most uncertain and why 4. Suggest how to validate the uncertain parts 5. Overall project confidence level Be brutally honest about what could go wrong." Why this works: Surfaces hidden risks BEFORE they blow up your timeline. 👨🏫 THE CLARITY TEACHER Turn any complex topic into crystal-clear understanding: "Explain {{complex_concept}} to me. Start with: 1. A one-sentence ELI5 explanation 2. Then a paragraph with more detail 3. Then the technical explanation 4. Common misconceptions to avoid 5. A practical example I can try right now After each level, ask if I need more detail before proceeding." Why this works: Builds understanding layer by layer instead of info-dumping. The breakthrough wasn't finding better AI tools. It was learning to ask better questions. These 3 prompts alone saved me 6 hours last week. And they compound. The more you use them, the faster you get. (I maintain a vault of 25+ battle-tested prompts like these, adding 5-10 weekly based on what actually works in production) What repetitive task is killing YOUR productivity right now? Drop it below. I might have a prompt that helps 👇

Recently, a colleague and I had the opportunity to host a session with the HR Advisory team, where we facilitated an exercise on HR + AI as strategic allies. Here are my key takeaways: AI is not just an answer box - it’s also a question engine. Too often, we approach AI looking for quick solutions: summaries, benchmarks, recommendations… But the real value comes when we let AI challenge our assumptions and spark deeper inquiry. Instead of only asking: “What’s the turnover trend in my organization?” Try: “What questions should I be asking to uncover the hidden drivers of turnover?” That’s where AI starts becoming a strategic ally, moving us beyond surface level insights to uncover systemic opportunities. Example: In talent strategy, AI might highlight that attrition is highest among mid-career managers. But if we let AI guide us with follow-up questions, it could surface deeper drivers - leadership development gaps, remote/hybrid work inequities, or limited career pathways. Suddenly, we are not just solving for attrition, we are rethinking leadership pipeline design. So, how can we get started? Shift the mindset – Treat AI as a partner in inquiry, not just a tool for answers. Ask it: “What am I missing?” Embed AI into talent strategy – Use it to scenario-plan workforce needs, test assumptions, and model future pipelines. Balance curiosity with judgment – Let AI expand possibilities, while applying human empathy and business context to decide what truly matters. HR of the future won’t be the one with all the answers, but the one who knows how to ask better questions, with AI as a catalyst. I’d love to hear from fellow professionals: How are you using (or planning to use) AI as a strategic ally in your work? Whether it’s in workforce planning, employee experience, or leadership development, your perspectives can help us all learn and grow.

Stop asking AI shallow questions. Start building primers. Most people treat AI like Siri: “What’s the weather?” They get surface-level answers and then proclaim "AI is 💩 " The difference-maker? Build a market primer before you start brainstorming with AI. Use my CRTO Formula (Context, Role, Task, Output). Last week I built a 2,500-word primer on Critical Access Hospitals before working on a GTM strategy for a client. No proprietary data. Just structured market intelligence. Why it matters: 1️⃣ AI works best when it understands your sandbox 2️⃣ You avoid generic “5 strategies” answers 3️⃣ Complex discussions become possible—without leaking company secrets 4️⃣ Prompts shift from scattershot to surgical What a strong primer includes: - Market size and segmentation - Key players + financial dynamics - Regulatory landscape - Buyer behavior and decision criteria - Pain points ranked by urgency - Success metrics that matter Now your prompts evolve from: ❌ “How do I sell to hospitals?” ✅ “Given that 25% of rural hospitals face closure risk, CAHs run on 0.17% margins, and 70% of patients are Medicare, what’s the optimal GTM approach?” Most of your competitors are still asking AI to “write me a sales email.” You’ll be using AI to pressure-test strategy at the level of a consulting firm. ➡️ Steal the attached prompt to get start. The result? A 2,000+ word intelligence brief that turns every subsequent AI conversation from generic to genius-level. The difference between shallow prompts and this approach is the difference between dabbling with AI and building strategy with it.

Most people think prompting AI is about asking better questions… …it’s not. It’s about giving AI better context to work with. That’s where “RAG” comes in… “Retrieval-Augmented Generation” means your AI doesn’t just answer from memory - it pulls in live, relevant information before it responds. Think of it like having a conversation with the smartest person you know… …but before answering, they run into a library, grab the most relevant three books, skim them in seconds, and then give you the answer. Here’s a simple way to craft better RAG-style prompts: 1. Tell it what you want “I need the most recent peer-reviewed research on robotic-assisted hip replacements published in the last 12 months.” 2. Tell it where to look “Pull from PubMed and the New England Journal of Medicine archives.” 3. Tell it how to use it “Summarize the top five findings and highlight any trends in recovery outcomes.” If you don’t tell it where to look, you’re trusting it to use its “default brain” and that brain might be outdated or incomplete. The power of RAG isn’t in the AI’s ability to talk, it’s in your ability to feed it the right pantry before it cooks the meal. So next time you craft a prompt, ask yourself: Am I asking AI a question… …or am I giving it a mission with the right tools to succeed? - the Caddie Brianna Dover #teachAi #testamony #notjustaBoxOpener