Learning from those who’ve walked the path before us can be invaluable in the world of technology. We asked industry experts to share one question they wish they had asked or something they wish they had known earlier in their tech development journey. From prioritizing user feedback to embracing simplicity in development, their advice could help you avoid pitfalls and set yourself up for success.
- Prioritize User Feedback From Day One
- Focus on Solving Real Human Problems
- Know When to Walk Away
- Identify Problems Not Worth Solving
- Master Core Technologies Before Chasing Trends
- Consider Context When Designing Features
- Embrace Simplicity in Development
- Maintain Work-Life Balance in Tech
- Question Assumptions Before Starting Projects
- Build for Users Not Specifications
- Plan for Real-World Scalability Early
- Consider Long-Term Tradeoffs in Decisions
12 Tech Leaders Share What They Wish They Knew Earlier
Prioritize User Feedback From Day One
If I could go back, the question I’d ask much earlier is: “How can we prioritize user feedback from day one?”
In the early days of building my company, I was laser-focused on technical precision, writing clean code, optimizing architecture, and building what I thought the market needed. However, in doing that, I underestimated the value of early, messy, real-world feedback.
Eventually, we shifted. We built in tighter feedback loops, shipped faster, and started listening more closely to how users were actually interacting with the platform. That pivot, which put users at the center, transformed our product velocity (SmythOS Product Hunt). It helped us move toward product-market fit much faster. And it ultimately led to the version of our platform that developers now share on Product Hunt and use at scale.
Overall, I advise people to build with their users, not just for them. In tech, time is your most valuable resource, and early feedback is what keeps you from wasting it.
Alexander De Ridder
Co-Founder & CTO, SmythOS.com
Focus on Solving Real Human Problems
Looking back at my tech journey, I kick myself for not asking sooner: “Who exactly benefits from this code, and what problem does it actually solve?” I wasted so much time chasing shiny tech. My first few years were pure “resume-driven development”; stacking up fashionable frameworks while building stuff nobody needed.
The wake-up call came after I poured months into an elegantly architected system that users barely touched. It was humbling. Now I flip the approach. I talk to people first, understand their frustrations, and only then pick tech that fits. My standups sound different too; less “I implemented a multithreaded low-latency system,” and more “I shortened equipment diagnosis time by 40%.” The difference is night and day when explaining work to stakeholders who couldn’t care less about your clever algorithms.
The weird thing is how much better my technical work became when I stopped obsessing over technical elegance. Projects got leaner, timelines shorter. I’ll never forget my SVP’s reaction when I scrapped a planned microservice architecture for a simple solution that solved the immediate business need in half the time. Software exists to solve human problems. Everything else is just expensive digital art. This perspective keeps me honest and makes the job infinitely more satisfying than chasing GitHub stars or HackerNews approval.
Jitender Jain
Expert Software Engineer
Know When to Walk Away
If I could rewind time, I’d want to know how to recognize when to walk away from a project or idea that just isn’t working. In my early tech days, I poured months into a tool that never quite fit the problem it was supposed to solve.
I kept tweaking and refining, convinced that one more adjustment would make it click. Looking back, the signs were there: user feedback was lukewarm, and my own motivation was slipping, but I was too invested to let go.
Understanding when to cut losses is crucial, yet rarely discussed. It’s easy to believe that perseverance always pays off, but sometimes stepping back is the wisest move. That lesson would have saved me time, energy, and the chance to focus on projects with real potential.
Now, I try to set clearer milestones and check in honestly with myself and my team. If something isn’t working, I’m quicker to pivot or pause. It’s not about giving up; it’s about making space for better ideas to grow.
Alex Ginovski
Head of Product & Engineering, Enhancv
Identify Problems Not Worth Solving
One question that would have saved a lot of time early on: “What problem shouldn’t we be solving?”
It’s tempting to chase every request, build every feature, or dive into tech because it’s cool. However, not every problem is worth solving—some aren’t core to the business, others add complexity without real payoff, and many can be solved with simpler workflows or existing tools.
This matters because time, focus, and engineering capacity are finite. Saying no or deferring low-impact work is what separates teams that move fast with purpose from those that just stay busy. Clarity on what not to do is often more valuable than a long roadmap.
Vipul Mehta
Co-Founder & CTO, WeblineGlobal
Master Core Technologies Before Chasing Trends
I wish I’d asked earlier, “Am I choosing this technology because it’s genuinely the right tool, or am I just chasing the newest thing?”
Early on, I spent too much time experimenting with trendy technologies instead of doubling down on what I already knew deeply. The lesson was clear: mastering one tech stack and leveraging my existing expertise delivered quicker results than constantly chasing after every new framework, especially in the frontend world, where things move very fast.
It’s tempting to reach for shiny new tools, but depth beats novelty. Deep knowledge saves you from costly mistakes, accelerates progress, and ultimately leads to a stronger, more reliable product.
James Blackwell
Founder, Quizgecko
Consider Context When Designing Features
One thing I wish I had realized earlier in my development journey is how important context is when designing features or pages.
During our university project for Alleysway, we were building a full web application, and there were several moments where we created a page that technically worked but felt somewhat pointless. It wasn’t until we took a step back that we realized the real issue: the page didn’t make sense without something else to support it.
For example, we had a bookings overview page that looked fine on its own, but without a way to view detailed session history or upcoming availability, it had no real value to the user. We had built it in isolation, without fully thinking through how the user would navigate the system and use it in the real world.
That experience taught me that functionality means nothing without context. You can have the cleanest UI or most efficient logic, but if the user doesn’t understand why they’re there or what to do next, you’ve missed the mark.
Now, whenever I build anything, I ask: “How does this fit into the bigger picture?”
It’s a small shift in thinking, but it’s made a big difference in how I approach user experience, design flow, and even development priorities.
Nicholas Malan
Founder, DevIgnite
Embrace Simplicity in Development
Looking back, the one thing I wish I had asked earlier in my development journey is, “What’s the minimum amount of complexity we can get away with?”
Early on, I assumed that the more technically elegant or customizable our platform was, the better it would be. So we spent time building advanced configurations, layered logic, and a lot of flexibility, thinking that’s what users would value most.
But in reality, most users just wanted something that worked fast, felt simple, and didn’t require a learning curve.
That realization came too late. We had already overbuilt parts of our backend and UI. Simplifying after the fact is much harder than starting simple. So now, before we ship anything, the first thing we do is ask ourselves, “What’s the lightest version of this that still solves the problem? What can we strip away without breaking the outcome?”
That mindset has saved us months of rework. More importantly, it’s helped us stay focused on value and not volume. To be honest, if I had asked that question from day one, we would’ve launched faster, iterated cleaner, and avoided building for edge cases instead of real users.
Cahyo Subroto
Founder, MrScraper
Maintain Work-Life Balance in Tech
I wish I had asked other tech developers and entrepreneurs how they managed to maintain a good work-life balance! This was something that I definitely struggled with at the beginning of my journey, and it’s still something I’m trying to figure out. With how rapidly the tech landscape has been evolving these past few years, I definitely felt a lot of pressure to get things done quickly, and because of that, I often overworked myself. I would work late into the evenings, afraid that if I stopped, I would lose that “groove” and we’d fall behind. I ended up just feeling burnt out all the time, and that never helps when you are working on tech development!
Edward Tian
CEO, GPTZero
Question Assumptions Before Starting Projects
One question we wish we had asked earlier in our tech development journey is: “What assumptions are we making that no one’s questioning?”
In early projects, we often took client briefs and internal processes at face value. That led to decisions based on outdated habits or unspoken assumptions, such as who the real end-user was or what success actually looked like.
Now, before kicking off a build, we ask our team to write down the assumptions we’re making about the user, timelines, tools, or hand-offs. Then we question each one. That five-minute exercise has helped us catch misalignment early and avoid hours of rework later.
It’s a small habit, but it’s changed how we collaborate and deliver.
Vikrant Bhalodia
Head of Marketing & People Ops, WeblineIndia
Build for Users Not Specifications
One of the key questions I wish I had known earlier is: “What does it really mean to build for users, not just for specs?”
Early in my career, I focused mostly on getting the tech right—clean code, elegant architecture, ticking all the boxes in a feature spec. What I didn’t ask often enough was, “Is this actually solving the user’s problem in the best way?” That shift in thinking came later, but it changed everything.
It’s easy to get excited about a clever solution or the latest framework, but users don’t care about how smart the backend is if the product is confusing, slow, or doesn’t do what they expect. Some of my most impactful work happened when I started sitting closer to the problem—listening to user feedback, watching how people actually used the tools we built, and working side-by-side with product teams.
The biggest breakthroughs didn’t come from adding more AI magic. They came from understanding where users were stuck—what slowed them down or broke their flow—and designing features that felt like a natural extension of their work. Building for users means putting yourself in their shoes and staying close to their pain points, even if it means simplifying your original vision.
I wish I had learned that sooner: great engineering isn’t just what runs efficiently—it’s what helps people get things done.
Roman Martynenko
Fullstack Software Engineer, Founding Engineer, Henry AI
Plan for Real-World Scalability Early
One question I wish I had asked earlier is, “How will this scale under real-world conditions?” It’s easy to get caught up in building features quickly or optimizing for the current user base, but without thinking ahead to scalability, you risk expensive rework and performance issues later.
As we saw with some of our early-stage ticketing clients, a codebase that works fine with moderate traffic can quickly become unstable when sales spike. By asking this question early and investing in architecture reviews or code audits upfront, you can avoid bottlenecks and ensure long-term stability. It’s a mindset shift from reactive to proactive, and it makes a huge difference in building sustainable, high-performing systems.
Sergiy Fitsak
Managing Director, Fintech Expert, Softjourn
Consider Long-Term Tradeoffs in Decisions
One question that I wish I had asked earlier is: “What are the long-term trade offs of this decision?”
At the beginning of a tech career, it is appealing to optimize for what is best today: a framework, an architecture, or a Band-Aid fix. However, most technical decisions carry hidden expenses that only materialize over time: complexity, scalability boundaries, and maintenance burden. Forcing the consideration of long-term tradeoffs early on develops a mindset of durability over convenience. It’s the difference between shipping code and building systems that can confidently be evolved.
Rajesh Pandey
Principal Engineer, Amazon Web Services
