💥Design Brief #97: VR Design, Prioritization Matrices, Search Redesign, Design Systems, Machine Learning for Designers and Voice Assistants

Photo of Dawid Woźniak

Dawid Woźniak

Jun 7, 2018 • 4 min read

Welcome to the 97th edition of Design Brief – our weekly selection of news and tips from the design world.

Research Versus Research

The kind of field research done by designers isn’t quite the same as the research done by scientists. Both are difficult, demanding, and rigorous, but they have different goals and different methods. Dressing one in the robes of the other won’t end well. Here is a short manifesto why you shouldn’t underestimate the importance of either. Read more

Basic Design Concept of VR Design

Over the last couple of years, companies such as Apple and Google have been investing heavily in virtual reality. VR is going to be the next big thing so why not learn something about how to design for it? The author covers concepts that can also be applied to both AR (augmented reality) and MR (mixed reality). Read more

Using Prioritisation Matrices to Inform UX Decisions

Visuals such as charts and matrices can help practitioners base important decisions on objective and relevant criteria instead of subjective opinions. A prioritisation matrix serves to identify the most important problems. This structured, objective approach helps achieve collaborative consensus while satisfying the varied needs of the user and the business. Here is how to leverage the power of prioritisation matrices. Read more

Search Redesign: Defining Search Patterns and Models

Patterns in user behavior help us understand how users interact with search, what results they expect to find, and what their next steps are. Patterns are especially important when redesigning an existing interface. They help find flaws in interactions and help you to understand what works best for your users. Check out the most common search patterns and models. Read more

Everything You Need to Know About Design Systems

A Design System groups all the elements that will allow teams to design, realize, and develop a product. It is a set of deliverables that will evolve along with the product, the tools, and new technologies. A Design ystem is composed of elements such as tools, patterns, components, guidelines, and also some abstract elements such as brand values, shared ways of working, mindset, and shared beliefs. What else should you know about Design Systems? Read more

An Intro to Machine Learning for Designers

Since machine learning is now more accessible than ever before, designers today have the opportunity to think about how machine learning can be applied to improve their products. Designers should be able to talk with software developers about what is possible, how to prepare for it, and what outcomes to expect. Here are the basics of machine learning and how to apply it to products. Read more

Pretty Please, Alexa

Users of today’s voice assistants keep asking for a “politeness mode”. But what are we really asking for when we seek a formal framework for politeness  –  like requiring “please” and “thank you”  –  in our voice user interfaces? The author discusses how to develop a humane system that will work for both parents and children. Read more

Photo of Dawid Woźniak

More posts by this author

Dawid Woźniak

UX & front-end. Dawid is doing his best at @netguru. He loves good coffee, meeting new people,...

Read more on our Blog

Check out the knowledge base collected and distilled by experienced professionals.

We're Netguru!

At Netguru we specialize in designing, building, shipping and scaling beautiful, usable products with blazing-fast efficiency
Let's talk business!

Trusted by:

  • Vector-5
  • Babbel logo
  • Merc logo
  • Ikea logo
  • Volkswagen logo
  • UBS_Home