Fast-track your product design from concept to market

Having worked with tens of startups as a fractional product designer, I help you deliver or refine your first product—faster, smarter, and cheaper.

Services

I partner with founders to shape products that make sense. From the early ideas to scalable versions you could confidently keep building on. Here’s how I can help.

Intuitive product structure

Information architecture

Crafting the blueprint behind your app—what goes where, and why—so users instantly “get it.”

Consistent visual language

Design System

Building a cohesive design system so your product looks sharp, feels familiar across features, and grows without growing messy.

Designs for devs, not PDFs

Implementation ready design handoff

I speak tech, collaborate closely with engineers, and vet every idea for feasibility—so nothing gets stuck or reworked down the line.

Business-first product design

Business Logic

Translating business strategy into user experience—so your product naturally guides users toward value (and keeps them coming back).

Designs that scale with your ambition

I don’t just design for today—I spot what’s coming next, and make sure your product is ready to evolve with emerging needs, trends, and technologies.

Making AI feel intuitive and human

AI-Human Interface

Designing AI-powered experiences that are easy to trust, use, and understand—whether it's chatbots, recommendations, or tools.

Featured works

B2B SaaS

Customer feedback and analytics tool

Net Promoter Score (NPS) dashboard showing customer satisfaction data with graphs and statistics, including overall NPS score and contact information from Bumblebee Ltd.

Consumer HardTech

Home automation App

Three smartphone screens displaying a home automation app interface. The first screen shows categorized rooms like Kitchen, Living Room, and Balcony with device counts. The middle screen features a media player, favorites section, and top used apps. The third screen displays different scenes such as Morning Kitchen and Evening Lights, with associated rooms and devices. A semi-transparent geometric shape is in the background.
blog
How to Use Multimodal AI to Understand the Psychology Behind Great UX Design
How to Use Multimodal AI to Understand the Psychology Behind Great UX Design

User Experience (UX) design is no longer just about usability—it's about creating emotional, intuitive, and impactful interactions. But what makes a UX "great"? The secret lies in the psychological principles embedded within it. In this blog post, you'll learn how to use multimodal AI to deconstruct and understand the psychological concepts that drive high-performing digital experiences.

Using AI for UX Design Feedback: My Experience with ChatGPT Vision
Using AI for UX Design Feedback: My Experience with ChatGPT Vision

Watch as ChatGPT Vision analyzes a dashboard design and provides real-time UX feedback. The AI assistant spots redundancies, predicts user flows, and suggests navigation improvements—all in minutes. This video demonstrates how AI tools can complement traditional design processes, offering immediate insights without replacing valuable human testing.

Unlocking Knowledge with Retrieval-Augmented Generation (RAG)
Unlocking Knowledge with Retrieval-Augmented Generation (RAG)

Large Language Models (LLMs) are powerful tools, but they have limitations—they can only generate responses based on the data they were trained on. What happens when we need information beyond their training? That’s where Retrieval-Augmented Generation (RAG) comes in. Let’s explore how RAG enhances LLMs by integrating real-time knowledge retrieval

Tokenization in natural language processing: Simplified.
Tokenization in natural language processing: Simplified.

What is “Tokenization in Natural Language Processing: Simplified” about?
This article explains tokenization—the process of converting text into smaller units called tokens—for beginners in NLP. It covers different tokenization strategies (word, subword, character), why token count matters for large language models like GPT-4, and the tradeoffs between vocabulary size and computational efficiency. With simple visuals and analogies, it makes tokenization easy to understand for both technical and non-technical readers.

Storytelling with data
Storytelling with data

Large Language Models (LLMs) are powerful tools, but they have limitations—they can only generate responses based on the data they were trained on. What happens when we need information beyond their training? That’s where Retrieval-Augmented Generation (RAG) comes in. Let’s explore how RAG enhances LLMs by integrating real-time knowledge retrieval

The Jobs To Be Done (JTBD) framework for product companies
The Jobs To Be Done (JTBD) framework for product companies

A diagram of collection of ideas for product thinking. Mostly an amalgamation of teaching on JTBD framework by Anthony W. Ulwick and Clayton Christensen

Designing for print in figma
Designing for print in figma

Figma not primarily being a print design tool has certain limitations when exporting for print. But to take advantage of the collaborative design, here’s a method if you really want to design in Figma.

AI vector illustrations
AI vector illustrations

Curious about fractional product design?

I’ve gathered answers to the most common questions I get about what it’s like to work with a Fractional Product Designer—and how it can help your team move faster without hiring full-time. And most importantly if you should, or should not hire one.

Levi, Finland by Saad Chaudhry on Unsplash