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How to Build and Scale
New Technology Products
Great technology sells, but the real challenge is building something people actually adopt.
Insights from 14+ years building and launching emerging technology products across startups, scale-ups, and Fortune 100 teams.
*For those who are audio-visual learners, I have provided AI-powered audio explorations via my YouTube channel
Deep Dives

Innovation
Innovation is about turning new ideas into meaningful change. These posts explore how teams discover opportunities, experiment with new technologies, and navigate the uncertainty that comes with building something truly new.


Preparing an Investor Ready Narrative for Deep Tech
I outline how to turn fragmented product, market, and technical work into a clear, credible narrative for grants and early stage investors.
4 min read


Shifting Engineering Delivery from Features to Value
How to change how engineering thinks about what it is building When I started working with the company, nothing was broken. This was a full-stack hardware and software system, and the technology worked. A camera was pushing live video in conditions where most systems would fail. Configuration tooling made it possible to tune performance quickly. From an engineering perspective, progress was clear. The problem was not whether the system worked. It was whether anyone could expl
5 min read


Make Technical Products Easier to Sell by Mapping Problems to Solutions
How to make assumptions explicit and shared so that validation, market exploration, and strategy are easier By Chris Burgess You hear a lot about building products by solving problems. But what happens when the product already exists and you now need to validate it? This is the situation many companies find themselves in, especially those moving from projects to products. Products are always built in response to a perceived problem, whether that problem has been made explici
6 min read


How I Built a Complex AI Agent With No Code (And What I Learnt the Hard Way)
I started with a clear goal. I wanted to interpret and summarise scattered data. I am not technical, so I set out to build an AI agent with no code. More than sixty hours later, with more than twenty seven nodes created and the need to start vibe coding, it became clear that it was anything but simple.
9 min read


The Future of HCI: Designing the bridge between people and machines
Spatial computing is moving from screens to spaces, but adoption will depend on how naturally people can use it. This post explores the future of human–computer interaction through three lenses — humans, computers, and interaction — showing how generational familiarity, device evolution, and intuitive gestures will shape the next era of computing.
8 min read


A Tech Maturity Framework for Anticipating Market Shifts
Introducing 'The Onion Model' which helps tech investors to see innovation as a series of expanding layers that turn discovery into proof, then traction, then scale.
5 min read


Making Sense of Your Customer and Market Insights
Every company gathers feedback, data, and ideas, but few know how to connect them into clear direction. This post explores why so many teams struggle to make sense of their customer and market insights, and how new ways of working — and smarter tools — can help.
6 min read


How to Make Product Prioritisation Fair, Fast, and Focused
Learn how to make product prioritization fair, fast, and focused. The Stakeholder Marketplace is a simple framework that helps teams align, make inclusive decisions, and build trust by turning prioritization into a transparent, collaborative process.
6 min read


One Product, Many Customers: The Strategy for Multi-Customer Fit
When every customer wants something different, focus becomes hard to keep. Discover how structured product leadership helps founders serving multiple customers stay guided by value, not noise, and lead with confidence as they scale.
5 min read


Turning Tech Innovation Into Product-Market Fit
Deep tech startups face a unique challenge. Their technology often works long before the market is ready for it. This case study explores how one company navigated that gap between invention and adoption, revealing five lessons on how to turn deep tech innovation into product-market fit. From focus and market relevance to data and timing, it offers practical insights for founders bringing science-based innovation to market.
6 min read


How to Make Your Product Essential - Product Storytelling and Positioning for Startups
A plaster or bandaid fixes a problem i.e., a cure. Smartglasses are not a necessity, they simply enhance your life i.e., a vitamin.
7 min read


How to Build What Matters, The Real Innovation Challenge for Startups
Innovation for startups often begins with excitement and ambition, but it can quickly drift when curiosity overtakes focus. In this article, Chris Burgess shares how a real-world product story from HP revealed the cost of chasing shiny features, and what founders can do to keep experiments grounded in user value. Learn how to build what matters by turning good ideas into products people genuinely need.
4 min read


Can Blockchain benefit Spatial Computing & AI?
A number of devices we have are capable of scanning our homes using its cameras, is there a future where this data is stored where we want?
7 min read


3 Lessons for How XR Companies Can Turn Innovation Into Adoption
Snap’s latest demo highlighted a growing truth in XR. The industry no longer struggles with what’s possible, but with making innovation usable, repeatable, and scalable. After more than a decade building in AR and VR, Chris Burgess shares three lessons that show how XR companies can balance accessibility and ambition to turn innovation into adoption.
5 min read


Build Products That Actually Ship and Deliver Real Value: Product Development for Startups
Building products that ship is hard, but building ones that deliver real value is harder. This practical guide to product development for startups shows how to move faster, stay focused, and keep teams aligned. Learn how to define your purpose, build self-sufficient teams, and deliver value that lasts beyond launch.
4 min read


Staying Relevant in the Tech Hype Cycle
The tech hype cycle rewards visibility and punishes hesitation. Once feasibility is proven, attention rises fast and fades faster. Staying relevant means more than chasing trends. It requires clarity, credibility, and consistent progress long after the hype moves on.
4 min read


You Solved the Right Problem. But Did You Solve It Well?
A practical guide for founders, startup teams, and product leaders who want to build the right thing and get it into users’ hands faster.
5 min read
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