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If a CEO isn't talking to customers every week, they're missing the job. Most aren't. And Apple/Nike prove it: features alone don't win premium pricing. Stanford's Jonathan Levav nails it. Pure functionality can't justify those premium prices we pay. As a software engineering student, this hits home. We often get caught up in technical specs. But customers buy emotions, not features. Here are Levav's 6 game-changing insights: • Choose problems you love solving (entrepreneurship is personal) • Skip literal descriptions, tap into deeper values • Think 3D: functional, economic, psychological • Leave your desk, observe customers directly • Map the entire customer journey • Keep messages crystal clear (ambiguity kills sales) The psychology angle is huge. It's not about building the perfect algorithm. It's about understanding why someone chooses your solution over 100 others. This changes how I think about future projects. Technical excellence matters. But emotional connection drives decisions. Time to start talking to real users. What's one customer insight that changed your product approach? hashtag #CustomerExperience hashtag #ProductDevelopment hashtag #SoftwareEngineering 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gt5NcW8F …

Most teams I’ve worked with don’t struggle with ideas, they struggle with turning an idea into a direction people can actually follow. In one engineering group I took over, the on-call load was high and the default answer was, “We just need more headcount.” That's always the default assumption. Instead, we worked backwards from a bold end state: customer issues should all be resolved without manual effort. The first step wasn’t a big tech redesign, it was tagging and categorizing every ticket so we could see the real constraints. A pattern popped out: a lot of the work was coming from customer service requests that required engineers to do complex account actions. Clearly we were missing some tools. The path forward wasn’t exciting. It wasn't a big idea. It was just execution. We postponed some projects, built tools and training for customer service, and added automation that could handle specific customer states safely. Over time, the manual work dropped, customers got faster resolutions, and the team finally had room to invest in what? More automation. To learn more about thinking big by working backwards and turning an end state into a roadmap, read on.

Before making any decision, I always start with one question: “𝐖𝐡𝐲?” The “Why” Matters More Than Anything Else - In Tech, Business, and Life. Some examples of how this one question can help us make better decisions in different areas: 🔶 IN AI DEVELOPMENT: Ask yourself - Why choose one model or tool over another? Does it solve the problem better, faster, or smarter? 🔶 IN BUSINESS DECISIONS: Why target this market? Why launch this product? Does it align with your vision and deliver real value? 🔶 IN TECH STACKS: Why prioritize scalability over speed? Why integrate a new framework at this stage? 🔶 IN CAREER MOVES: Why take this role? Does it align with your long-term goals or values? 𝐖𝐡𝐲 > 𝐖𝐡𝐚𝐭 > 𝐇𝐨𝐰 The “why” gives clarity and purpose. This is your north star and will guide every decision - technical, professional, or personal. Ensure you have a strong why before you spend time on getting lost in the what and the how. When you ask “why,” you: ✅ Stay focused on the goal. ✅ Make intentional, impactful choices. ✅ Avoid wasting time on distractions. REMEMBER: Without the “why,” even the best tools, strategies, or moves lose their meaning. Start with the “why,” and the rest will follow. Do you also ask yourself “why” before making decisions, or do you have another way of approaching it? Drop a comment, I’d love to hear your thoughts! Please share if you found value in this and follow along for more discussions!!!💜 Love, Shreya 🦋

At AIVahan International, we start every engagement with one question: WHY? For the businesses we work with, this isn’t philosophical, it’s practical. Clarifying the “why” helps organizations: ✔️ Avoid investing in AI or technology that doesn’t solve a real business problem ✔️ Choose solutions aligned with measurable outcomes, not trends or hype ✔️ Reduce wasted spend on tools, platforms, and implementations that don’t scale ✔️ Build systems that support long-term strategy, not short-term experimentation Before recommending a model, automating a workflow, or designing an AI roadmap, we align on purpose, constraints, and success metrics. That clarity drives better decisions on what to build and how to build it. If you’re exploring AI or automation and want to ensure it delivers real business value, start with the “why.” We help organizations turn that clarity into execution. Follow AIVahan International for more practical insights and DM us to learn more about how we can help your business use AI more effectively!

You walk out of a meeting completely confused about what just happened. Your proposal was solid. The data was clear. But somehow the other person seemed frustrated, and you can't figure out why. Most people assume it's about conflicting beliefs.  That they disagree with your budget priorities, your hiring philosophy, or your timeline for launching. But neuroscience research shows that most disagreements and misunderstandings aren't about the validity of ideas at all.  They're about how ideas are framed. Some brains scan for what needs to change. Others scan for what needs protecting. Same proposal, completely different focus. When you say "Let's try this new approach," one person hears opportunity. Another hears risk to what's working. The breakthrough isn't changing how people think. It's framing your message so any brain can process it clearly. The Opposite Test makes this immediate: Take whatever you're about to say and flip it completely. If the opposite of the statement you’re about to make sounds confusing, weak, or nonsensical,  it’s a good sign that there’s probably a better way to frame the idea. This isn't about manipulation. It's about making sure your best ideas actually get through. Because brilliant insights won't be heard if they start with the wrong frame.

𝗔𝗜 𝗱𝗶𝗱𝗻’𝘁 𝗯𝗿𝗲𝗮𝗸 𝘁𝗵𝗲 𝗷𝗼𝗯 𝘀𝗲𝗮𝗿𝗰𝗵. 𝗜𝘁 𝗰𝗹𝗮𝗿𝗶𝗳𝗶𝗲𝗱 𝘄𝗵𝗮𝘁 𝘄𝗼𝗿𝗸𝘀. In 2026, urgency still matters. But urgency without intention leads to burnout, not offers. The job searches that gain traction today are clear, credible, and human. They respect how AI filters and how people decide. 𝗧𝗵𝗶𝘀 𝗰𝗮𝗿𝗼𝘂𝘀𝗲𝗹 𝗯𝗿𝗲𝗮𝗸𝘀 𝗱𝗼𝘄𝗻 𝗮 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗶𝗺𝗺𝗲𝗱𝗶𝗮𝘁𝗲𝗹𝘆: • Where to focus your effort • How to stay relevant without chasing volume • What still makes the difference after automation If you’re job searching right now, don’t try to do everything. Do the right things consistently. 👇🏽 𝗦𝘄𝗶𝗽𝗲 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗮𝗻𝗱 𝘀𝗮𝘃𝗲 𝘁𝗵𝗶𝘀 𝗰𝗮𝗿𝗼𝘂𝘀𝗲𝗹 𝗳𝗼𝗿 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲. — Yvonne E. Robinson Founder, Goal Inspired Career Coaching Author, THE EDGE: Outperform, Outshine, and Outlast in Your Career (available on Amazon)

Most smart people don’t struggle with information overload. They struggle with missing filters. Staying informed in tech isn’t about reading more. It’s about deciding what you are allowed to ignore. The mistake I see over and over: People treat information like knowledge. It’s not. Information is raw input. Knowledge is what survives a filter. Here’s the uncomfortable part. If you don’t have a clear decision surface, everything looks important. I use three filters. Relentlessly. 1. Does this change a decision I’m responsible for? If it doesn’t affect something I’ll actually choose or ship, it’s noise. 2. Is this signal or commentary? Most “insight” is just reaction to someone else’s reaction. Third-order takes are entertainment, not leverage. 3. Can this be revisited later without penalty? If yes, kick the can. Attention is a non-renewable resource. The paradox: The more "senior" you get, the less you should try to stay “up to date.” Your job isn’t awareness. It’s judgment. And judgment requires subtraction, not consumption. What’s one thing you deliberately stopped paying attention to that made you better at your job?

You can make the right decision, and still feel like you missed. That doesn’t mean it was wrong. Sometimes progress looks like friction before it looks like momentum. Plans don’t fail in straight lines. They bend. They reroute. They expose weak assumptions. What feels like a misstep is often the system surfacing what needed to change. In business, in careers, in life, the fastest upgrades rarely feel smooth. They feel inconvenient. They feel confusing. They feel late. But detours have a job: they stress-test who you are before rewarding where you’re going. If you’re questioning your direction, don’t default to self-blame. Most outcomes aren’t verdicts. They’re diagnostics. Three reminders when things drift off-plan: 1. Separate error from information. → Not all friction is failure. → Sometimes it’s feedback doing its work. 2. Zoom out before you react. → Short-term confusion can enable   long-term leverage. → Context changes conclusions. 3. Keep the system in motion. → Insight follows movement. → Stalling freezes learning. I’ve shipped decisions that didn’t land. Built systems that cracked under load. Chosen paths that forced a rethink. Each one raised the ceiling for what came next. You’re not lost. You’re iterating. And iteration is how systems improve. ♻️ Repost to help your network. 🔔 Follow Elijah Szasz for actionable insights on AI, systems, and strategy.

A customer called me for something I don’t hear enough people talk about: “Christian, we’re getting crushed on Google.” At first glance you think it’s service. It wasn’t. It was uncertainty. Same pattern every time: - a complaint comes in - the employee remembers it one way - the customer remembers it another - the manager is stuck in the middle with no timeline So we did the simple thing that gives leaders their power back: We put cameras in the vehicles. Not to “watch” people. To stop guessing. Within a couple weeks, their conversations changed. Less arguing. More coaching. More calm. Lesson: if you can’t prove what happened, you’re forced to negotiate with emotions.

cold dms scare me. always have. hitting send feels like jumping off a cliff. what if they ignore? what if they think i'm pushy? but i've learned something: opportunities don’t knock. you have to slide into inboxes. my first cold dm was to a senior dev at a startup. i’d seen their post on ai ethics. it resonated hard. i sent this: “loved your take on bias in models. as a cs student, i’m exploring similar projects,any advice?” heart racing. sent. two days later: a reply. that reply led to a 30-minute call. which turned into mentorship. and eventually, a referral. not every dm lands. i’ve sent dozens. most were ghosted. one even replied: “not interested.” that stung. but it was okay. rejection builds resilience. lessons from my wins (and failures): • research deeply reference something specific • keep it concise ,no life stories • offer value “i built x, thought you might like” • follow up once , then let go in a world of algorithms and feeds, human connection cuts through. cold dms aren’t spam. they’re bridges. if you’re hesitating on that message send it. worst case: silence. best case: a game-changer. who’s your cold dm success story?