AI can supercharge product design - But it’s not a silver bullet.

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At best, AI today acts like a junior product designer — someone who needs constant guidance to stay on track. In most cases, AI needs a senior designer to define:- What is the real problem we’re solving?- What are the expected user and business outco...
We fed ChatGPT the problem statement, idea statement and JBTD we defined in the previous post, along with other relevant context for this build. Including the requirement that it needs to be built in one day (8 working hours), with no-code tools and ...
You’ve got an idea for a digital product. You want to build an MVP to test if it works and if so, take it to market. But you’ve never done that before and you are neither a developer, nor a designer. It’s time to build with AI, without writing code. ...

A sign-up is not a real win. Making the client successful is. Here at House Of Products we’ve learned from experience, that the difference is often Great Product Onboarding. In the first two posts of this series, we showed why it matters. Then, why i...

🧩 What is it?Product onboarding is the support and guidance clients receive to help them reach the outcomes they were after when they signed up for a digital product. They can be onboarded by humans (Customer Success & Support), by automated digital...

We spoke about what Onboarding needs to do for clients and what it can do for your company in the previous post. Here we will cover the main reasons why so many Onboarding attempts fail to serve their clients and their companies. Let’s start by going...

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Marty Cagan perfectly highlights this in a recent article on the SVPG blog, where he explores how AI is reshaping product design without replacing the human element — link to the article in the comments.
One of the most important points he makes is that AI should be seen as a collaborator, not a replacement. It can generate ideas, automate repetitive tasks, and speed up processes. But at the end of the day, it’s still up to designers to interpret the output, apply critical thinking, and ensure the final product aligns with both user needs and business goals.
Just this week, I’ve been using it to generate feature concepts, but one major shortcoming is its inability to envision connected user flows. Unlike humans, it lacks a holistic view of the experience, often creating disjointed, noisy features rather than streamlined solutions. This means more refinement and critical thinking are needed to achieve a usable outcome.
🔍 So, what does this mean for designers?
Embrace AI as a collaborator, not a competitor. Let it handle repetitive tasks, but keep the human touch in problem-solving and user empathy.
Focus on critical thinking and context. AI might generate concepts, but designers must still evaluate and iterate based on real-world scenarios.
Stay adaptable. As AI tools evolve, so should our skills. Invest in learning how to integrate these technologies into your design process effectively.
Ultimately, product design remains rooted in human insight and strategic thinking. AI can enhance our work, but it cannot replace the nuanced understanding of user needs and business strategy. In the next post I'll show another example but applied to UI design.
I would love to hear how others are incorporating AI into their design practices!
👉 LET’S CHAT AND WE’LL TELL YOU HOW WE CAN HELP YOUR COMPANY! 🚀
🔗 Find out more about our work at houseofproducts.design
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