AI product developments, tools, patterns and more

As a designer passionate about creating impactful user experiences, I'm currently focused on upskilling in the intersection of AI and product design. With a strong foundation in design thinking and user research, I'm expanding my capabilities to integrate AI-driven solutions into the product development process. This journey is equipping me to design more intelligent, intuitive, and future-ready digital experiences.

I recently completed the “Become an AI Product Designer” course with Maven and am now advancing my skills through the “AI Designer” program with the Interaction Design Foundation.

Rapid-Prototyping and User Research

As a product designer, my goal is to create impactful user experiences efficiently. In a world where speed to market is key, the ability to validate ideas quickly with real users is a crucial skill. My process, refined over years of practice, is built on a foundation of rapid prototyping and continuous user research, ensuring that every design decision is backed by solid data.

The core of this approach is not to replace creative thinking but to accelerate the ideation and validation process. By leveraging the right tools and a systematic process, I can quickly transform an idea into a testable prototype and gather valuable feedback that shapes the final product.

How I conduct rapid user testing, and Product/Feature validation

  1. Define the Product Concept:
    Every project begins with a clear understanding of the problem to be solved and the target user. I start by collaborating with stakeholders to define the minimum marketable product (MMP). This involves clarifying the core features, the user's needs, and the key business objectives.

  2. Sketching & Low-Fidelity Prototyping:
    With the concept defined, I move to rapid sketching and wireframing. This phase is all about speed and iteration. Using tools like Lovable or Rocket, I quickly build low-fidelity interactive prototypes. The goal is not perfection, but to create something functional enough to test the core user flow and gather initial feedback.

  3. Establish User Testing Groups:
    Before launching the prototype, I recruit and manage user testing groups. These groups are carefully selected to represent the target audience, ensuring that the feedback we receive is relevant and reliable. I often conduct user interviews to understand their needs and pain points, which helps inform the prototypes.

  4. Conducting User Testing & Gathering Feedback:
    The interactive prototypes are then presented to the user groups. I use tools like Maze or other free tools to conduct user testing sessions, observing how they interact with the design. This is a crucial step for gathering both qualitative and quantitative data. I'll note where users hesitate, where they get confused, and what their verbal feedback reveals.

  5. Rapid Iteration Based on Feedback:
    The insights from user testing are immediately fed back into the design process. I rapidly iterate on the prototypes, addressing pain points and refining the user experience. This cyclical process of prototype-test-iterate allows me to quickly validate or invalidate assumptions and move closer to an optimal solution.

  6. Create High-Fidelity Prototypes:
    Once the core user flows are validated, I transition to creating high-fidelity prototypes. These detailed prototypes accurately represent the final user interface and experience. They serve as a final check to ensure all visual and interactive elements are working as intended before development.

This process ensures that every design decision is grounded in user needs, reducing risk and building confidence in the product's vision. By focusing on rapid iteration and constant validation, I can deliver a refined, user-centered product that truly resonates with its audience.

AI product developments, tools, patterns and more

Tools like Lovable (a no-code AI platform for designers) have been instrumental in this process, allowing me to quickly visualise and test ideas without heavy dev dependencies.

This hands-on exploration has also introduced me to the world of prompt engineering, which I’m now building into my skillset to better communicate with AI tools and unlock their full creative potential.

AI is only used to sped up the process, not replace your work as a designer. Creative thinking can’t be replaced by AI, be it can assist in speeding up the ideation process and concept validation for business buy-in

Current prototype projects on the go

1.Pensions Dashboard

Currently in the UK it i very difficult to get an overview of your retirement investments, work-place pensions, personal pensions, ISAs and government pensions. Using AI to build a concept for ideation.

2.Daily Tuition App

Real project for the Old Apostolic church, with over 4 million users worldwide, in +20 languages. The app delivers daily tuition, on-demand access to current teachings and objectives, personal ‘bible notes’ section to document ket text for ket topics

3.Community App

Building out a concept for a community Hub App, to be the go to place for finding services, offers, restaurants and more.
(confidential as early stages)

AI is a great tool to help idea ideas.

Do reach out to me if you would liek to work together and realise a concept solving a particular user need.