Insights on product strategy, management, and digital innovation from our team of experts.
A prototype review should test whether a client can complete the work the product is meant to support, not just whether they like the screens.
AI can make a defined process smarter, but it cannot replace the need for a clear trigger, inputs, decisions, outputs, ownership, and human judgment.
Product culture grows when the whole team understands the customer, the problem, the objective, and why each story exists.
AI tools removed the long build as an excuse. A working prototype now takes days, so a bad call about who you are building for shows up immediately instead of hiding behind the roadmap. The two jobs that decide whether a product survives, product management and go to market, were always the harder work.
Most PMs stop when they hit 80% confidence. They want certainty before deciding. The real skill is making the call with imperfect information, moving forward, and course-correcting when you learn more.
When product cycles compress by 10x, the traditional PRD-to-handoff workflow breaks. Here is what I do instead: build a functional frontend prototype with AI tools and hand that living spec to developers.
Gartner predicts over 40% of agentic AI projects will be canceled by 2027. The reason isn't weak models. It's a missing runtime.
Most AI pilots and MVPs do not die because the technology is weak. They die because teams build before they understand the problem, the market, the business model, and the path to adoption.
SpaceX is not just a rocket company. It is a product system where each layer makes the next one stronger. That is the real lesson for founders.
The smartest AI teams are not the ones using the strongest model everywhere. They are the ones matching each task to the right model, cost, and level of reliability.
Why Every Professional Needs Personal Connections Beyond Their Company
Scrum vs. Shape Up in Modern Product Development, and how you can follow a hybrid approach
How Technology is Revolutionizing the Build-Measure-Learn Cycle
The different mistakes startup teams and founders make that will make them fail regardless of their product.
A guide to define if you ideas is worth following and spending time and resources on
How Outsourcing Product Management Can Be The Key to Better Products
A guide for non technical people to differentiate between agile roles and hire the right person for their needs
