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User Experience (UX) design and User Interface (UI) design are two terms people sometimes mistakenly use interchangeably. While aspects of each are interconnected, there are distinct differences between UI/UX design.

According to Internet Live Stats, there are over 1.9 billion websites, but not all are active at the same time. No matter how you slice it, there’s a lot of competition to grab and keep user attention. Good UX is just part of the equation. For a genuinely stellar site, you must also offer an excellent interface.

Learning the ins and outs of good UI and UX requires a bit of knowledge of how the two differ and what works. Although they weave in and out of the same design, they are different.

What Is the Biggest Difference Between Good UX and UI?

UI is the functionality of the design and what users see. How do they interact with various elements? UX is more the way things come together — both visual and interactive features — to create a feel for the user. You can certainly see why people confuse the two as they both apply to interacting with a website or app.

Top design firms often have team members specializing in each discipline. However, UX designers are also aware of UI, and UI designers are also mindful of UX. How can you ensure you’re offering excellent UI/UX design while covering the full spectrum of requirements for each?

Ensuring Effective UX Design

Good UX design increases conversion rates by 400% or more. The site visitor walks away feeling understood and not frustrated. What are some of the most important aspects of good UX design?

1. Create a Good Structure

What is the hierarchy of your site? What is the first thing the user sees when they pull it up? How do they navigate from one page to the next? A well-designed website classifies different aspects of the page, and new content naturally falls into the appropriate category as it grows.

When creating a structure for your site, think about how it might expand in the next five years. You want the hierarchy to work from day one, but you also want to think through significant shifts in the content you might see down the road.

Even your navigational hierarchy should accommodate new areas easily. Plan for the unexpected, so you know how to work it into the overall design when you must.

2. Choose Beautiful Aesthetics

You have a few seconds to make an excellent impression on your site visitors. Take the time to make sure your design functions and is visually appealing. Your color palette should work, images should be crisp and relevant, and typography should be readable and engaging.

Step back from your computer and look at your design from a distance. Does anything stand out that isn’t pleasing to the eye? Get feedback from visitors about what they like and dislike. Since the focus is on user experience, your best source of constructive criticism is from your target audience. Listen to their concerns and ideas.

3. Communicate With Site Visitors

Most experts agree that users want an element of interactivity on sites and apps. People want to know you hear them and get a response. Some ideas include adding a live chat option to your site or engaging in SMS customer support.

Put yourself in their shoes. A customer may visit your site for the first time, having never heard of your brand. They have no reason to trust you or that you’ll follow through on your promises. Potential leads may have a few questions before parting with their hard-earned dollars.

Adding various ways to communicate shows them you’ll be there should they have a problem. It’s much easier to trust a company when you know you can phone, engage in live chat or shoot off an email and get an almost immediate response.

4. Add Clear Direction

Excellent UX is intuitive. You should add calls to action (CTAs) and images pointing the user where they should go next. You can use graphics of arrows, people looking or pointing toward the next step, words, or CTA buttons.

Get feedback on how clear the directions are and tweak them as needed. The user should never have to stop and ponder what to do next. Everything on the page should guide them toward the ultimate goal.

5. Break Down Complex Data

Every industry has complicated data that is difficult for non-experts to understand. Part of good UX is breaking down complex information and sharing it in a simplified way.

One example might be the registration process. Instead of just showing text, a good UX designer would number the steps. Visualizations help add to understanding.

Embracing Effective UI Design

User Interface impacts UX and involves how the design works. The UI designer thinks through visitor expectations and then creates an interface that isn’t frustrating. UI works within the framework of a website to develop functional features. User experience isn’t the complete focus of UI, but it does tie into the planning phases. What are some elements of good UI design?

1. Set Standards

For a design to have good UI, it must perform as expected. Have you ever clicked on a button, and nothing happened? Determine how you want things to work and the minimum acceptable standards for your site.

For example, what happens when someone clicks on a link or button? How does the user know their action created the expected result? Consistency is crucial to how a site performs.

2. Choose the Right Colors

While UX designers look at the emotional impact of various colors, UI designers look at whether the shades match branding and how well the different ones contrast for readability and usability. UI/UX design often bridges a single designer’s work, so the employee ensures everything works as intended, both emotionally and functionally.

You may work with another designer to make the site aesthetically pleasing while also tapping into the emotions driving users. For example, some people love blue, so a blue button can have positive results.

UX and UI designers utilize split testing to see which users respond best to. Then, make adjustments as indicated by how site visitors respond.

3. Focus on Cognitive Matters

According to the Interaction Design Foundation, people can only retain around five things in their short-term memory. Designers should work with recognition instead, as users tend to rely on cues to find what they need.

UI designers may develop an intuitive navigation system and then use the same cues on every page, such as placement, color, and language. Users can then recognize the system without having to memorize it.

4. Prevent Errors

Your job is to ensure errors are kept to a minimum when designing a website or app. One of the most significant parts of a designer’s job is testing and retesting.

Think about all the potential problems a user might run into, such as broken links, images not showing, or incomplete actions. How can you keep those problems from occurring in the first place?

Error prevention is particularly vital when designing software as a service (SaaS) or apps. Users grow frustrated quickly and will find another solution rather than troubleshooting an issue. You’re much better off avoiding the error in the first place.

How Do UX and UI Work Together?

You’ve likely already figured out how closely UX and UI entwine to create a usable experience. The UX designer pays attention to function and interactivity, and the UI designer thinks through how the interface looks.

UX pays attention to the flow of the website and where users start, go next and end up. On the other end, UI figures out how the elements look to the viewer and where everything is placed.

The UX team may decide to add an extra button to the page. The UI team must determine where to place it, if any sizing needs must occur, and how it impacts usability on desktop and mobile devices.

Although each has a different function, user experience and user interface must work together to create a usable site the target audience responds to. You can’t have excellent UX without excellent UI, and vice versa. The best designers consider both and implement them to their fullest potential.

 

Featured image via Pexels.

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Every day design fans submit incredible industry stories to our sister-site, Webdesigner News. Our colleagues sift through it, selecting the very best stories from the design, UX, tech, and development worlds and posting them live on the site.

The best way to keep up with the most important stories for web professionals is to subscribe to Webdesigner News or check out the site regularly. However, in case you missed a day this week, here’s a handy compilation of the top curated stories from the last seven days. Enjoy!

16 Leading UI/UX Design Trends to Dominate in 2022

Unused Nintendo Wii Logos Include Some Serious Design Crimes

The Baseline for Web Development in 2022

60 Bootstrap Examples for Website Design

M&M’s Redesign by JKR

Frontend Predictions for 2022

Minze – Dead-Simple JS Framework for Native Web Components

Cheet – Create Developer Cheatsheets

What’s New in WordPress 5.9 (Features and Screenshots)

20 Best New Websites, January 2022

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The importance of scientific research cannot be overstated. User research is crucial to the success of any UX design, and this article will explain all the reasons why.

But first, we will explore what UX research is and how it can give you valuable tools. Then we will analyze why user research is an ongoing, dynamic process.

By the end of this 5-minute read, you will know every efficient research method (qualitative and quantitative) and how to choose the right one(s) for a new or existing UX project.

What is UX Research?

In a few words, we could say that UX research is about observation techniques, feedback methods, and analysis of the whole user experience of a project. As in any scientific research, UX research analyzes how users think and what their motivations and needs are.

The research methods of UX can be divided into two main types: quantitative and qualitative.

Quantitative Research Methods

These methods are all about statistics and focus on numbers, percentages, and mathematical observations. UX designers later transform such numerical data into useful statistics that you can use in UX designs.

To be precise, there are numerous data collection platforms that UX designers use like Google Analytics, Google Data Studio, etc.

Qualitative Research Methods

Qualitative research aims to understand people’s needs and motivations through observation. This includes numerous methods: from interviews and usability testing to ethnographic and field studies.

In general, qualitative research is crucial for us UX designers because it is easier to analyze than quantitative and we can use it quickly in our projects.

Why is UX Research an Ongoing Process?

Suppose you are about to create a UX wireframe. The process is pretty simple. You start with research, proceed with sketching, then prototype and build. But how many times have you gone back to the previous step of the process?

A UX design is completely dynamic and rarely finished. For this reason, UX research should be viewed as an ongoing process. When I stopped worrying about going through this loop over and over again, I immediately became a better UX designer.

Why Should You Invest in UX Research? 

There are many reasons why you should always conduct UX research before you start sketching and prototyping a wireframe:

  1. Stay relevant: Via UX research, you will ensure that you understand what your users need and tailor your product accordingly.
  2. Improve user experience: With comprehensive UX research, you’ll be one step closer to delivering a great user experience.
  3. Clarify your projects: With UX research, you can quickly identify the features you need to prioritize.
  4. Improve revenue, performance, and credibility: When you successfully use UX research, you can boost the ROI (Return on Investment).

9 Effective UX Research Methods  

It becomes clear that UX research is very important to the success of any UX project. All successful approaches derive from three basic foundations: Observation, understanding, and analysis.

So let us take a look at the most popular and effective qualitative and quantitative research methods.

Interviews 

UX designers can conduct one-on-one interviews to communicate with users and analyze the context of the project. This is a very effective UX research method. You just need to set your goals.

  • Difficulty: Medium/Low
  • Cost: Average
  • Phase: Predesign, During Design Phase

Surveys And Questionnaires

This is a very effective approach if you want to gather valuable information quickly. There are many tools like PandaDoc and Wufoo that allow you to create engaging questionnaires and surveys.

  • Difficulty: Low
  • Cost: Low
  • Phase: Predesign, Post Design Phase

Usability Tests

Usability testing is an essential method if you want to test your product in terms of user experience. It can be applied during or after the creation of an app, site, etc.

  • Difficulty: Medium
  • Cost: Average
  • Phase: During Design Phase

A/B Tests

A/B testing is by far the best way to overcome a dilemma. If you do not know which element to choose, all you have to do is organize an A/B test and show each version to a number of users. Based on their feedback, you can then decide which version is the best.

  • Difficulty: Low
  • Cost: Low
  • Phase: During Design Phase

Card Sorts 

With card sorts, you can help your users by providing them with some product content categories (labeled card sets). This is a very cheap and easy way to understand what your users prefer and how they interact with the content you have just designed.

  • Difficulty: Medium
  • Cost: Average
  • Phase: During Design Phase

Competitive Analysis

Analyzing what your competitors are doing differently is critical to the initial stages of a UX design. This will help you identify their strengths and weaknesses and optimize your product.

  • Difficulty: Medium
  • Cost: Average
  • Phase: Predesign

Persona And Scenario Building 

Creating a user persona and a specific scenario for your project is critical. First, you need to build a user persona by integrating the motives, needs, and goals of your target audience.

Then, you can create a scenario that leverages all of this valuable information to deliver a top-notch user experience.

  • Difficulty: Medium
  • Cost: Average
  • Phase: Predesign

Field Studies 

Although a field study is a very effective UX research method, it is also expensive and difficult to conduct. However, there is nothing like field research when it comes to obtaining real-life data.

  • Difficulty: High
  • Cost: High
  • Phase: Predesign, During Design Phase

Tree Tests

Tree testing is a UX research method that you can apply to your designs during or after the construction phase. The process is fairly simple: you provide users with a text-only version of your product and ask them to complete certain tasks. This tactic is a great way to validate your product’s architecture.

  • Difficulty: High
  • Cost: High
  • Phase: During and Post Design Phase

How to Choose the Right UX Research Method?

Good planning is the most important thing for us UX designers. If you know exactly what the UX problem is, you can solve it quickly.

The methods analyzed above are just some of the research tactics used by UX designers. Choosing the right user research method for a project is not easy. To do so, you should first define your goals.

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Fact: Over 26% of adults in the United States have some sort of disability. To ignore such a massive part of the population would be ill-advised for any company, legally, financially, and above all, ethically. How can you stay ahead of the curve when it comes to maintaining a progressive and responsive organization? 

We reached out to two experts – Alwar Pillai and Perry Trinier of Fable – on the topic of designing products that have inclusivity for people with disabilities at their core. Here are the 3 things they think every engineer, developer and product designer needs to know about inclusive design and how it will inevitably affect the future of their companies.

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There’s not much buzz about design patterns these days. They appear to have joined the hall of fame of accepted wisdom, alongside the Silver Bullet, SOLID and DRY. Lately, I had the opportunity to share some thoughts on the importance of good old design patterns with Koen Aerts, CTO of Team Rockstars IT. Here’s the gist of that talk in a more digestible format.

Before I start, let me set some boundaries, as people can get doctrinaire about definitions. I refer to the good old bridge, builder, decorator, and factory patterns. Architectural patterns like MVC do not fall into the same category, much fewer paradigms like serverless and microservices (aka SOA the next generation).

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Yesterday’s creativity won’t keep pace with tomorrow’s requirements; businesses need speed and agility without sacrificing creative quality.

“The creativity that was needed in the past is not the creativity that is needed today,” according to Matthew Rayback, a creative director at Adobe. He’s not talking about the function of creativity but rather about the process of creative management in a marketing context. 

What is needed today? Speed and agility without sacrificing quality. 

Why? Because the pace of change has accelerated. As Rex Salisbury, a deal partner for the venture firm a16z noted early in the pandemic, “Businesses of all kinds are experiencing two years’ worth of digitization compressed into months.”

This accelerated digital transformation has put pressure on marketing teams to turn campaigns around faster. In turn, that places pressure on creative teams to generate the requisite creative for those campaigns. Leaders need to sharpen their awareness of the unfolding creative management trends to keep pace. To that end, below are five such trends to watch in 2022. 

1. In-House Creative Teams Continue to Grow

Companies have been building in-house creative teams for the better part of a decade. A 2018 study by Forrester Research and the In-House Agency Forum (IHAF) found the number of in-house teams has grown 22% in the last ten years or so. As The Wall Street Journal reported, more than half of advertisers (64%) have shifted their creative organizations to an in-house team.  

According to a more recent version of that same study, the in-housing movement didn’t stop throughout the pandemic. It revealed, “80% of respondents said they have brought more marketing assignments in-house since the onset of the pandemic, with 50% saying the increase was directly triggered by the events of the past two years.”

Businesses seem well-satisfied with the results because the urge to in-house is poised to grow beyond creative teams. For example, a recent survey by the customer intelligence company Axciom found about 50% of respondents believe the “in-housing is currently a top marketing objective, and 40% expect it will remain a top priority in the coming years.”

2. Outside Agencies Hired for Specialized Skills

Despite the in-housing trend, there is still opportunity for agencies, consultants, and freelancers, particularly those with specialized skills. Even the consumer-packaged goods giant Proctor & Gamble, a leading example of brands bringing marketing and creative teams in-house, still needs outside service providers.

Indeed, while in-house creative teams produce the lion’s share of creative work, the vast majority (86%) also continue to partner with agencies and freelancers; according to our own research, published in our 2021 Creative Management Report, which was facilitated by Lytho (formerly inMotionNow) and based on a survey of 400 creatives and marketers. 

When the survey asked creatives why they hire outside resources, the top reason was access to specialized skills (60%). That was followed in a distant second by a need for increased capacity (44%), help with developing strategy (24%), and, lastly, to get work done faster (20%). 

“It is very unusual for an in-house team to have no outside resources that they lean on,” wrote Alex Blum of Blum Consulting Partners, Inc. in a written assessment of the survey results.

He says there are two primary ways to partner with agencies. “First, for overflow capacity. There is always a need for more creative resources, and agencies can offer that flexibility without the cost of maintaining larger teams,” he wrote. “Second, in-house teams can divide areas of ownership with an agency based on the skill sets they have in-house.”

3. The Creative Process Evolves

Marketing today is dominated by an insatiable thirst for fresh content, produced and polished by creative teams. The demand for that content continues to explode. 

What does this portend for creative teams? Despite adding headcount, creative requests exceed the creative team’s capacity to produce it – even as lead times shrink. Matthew Rayback, the creative director at Adobe, suggested the creative process must evolve. 

He likens creatives to an auto factory, where “creatives used to be the assembly line to make a single car.” However, today, creatives are tasked with creating more cars, each with unique adjustments such as personalization. 

“The assembly line we built can’t accommodate that speed or volume,” he says. So the whole factory – the entire creative process – must be overhauled to adapt. 

4. Quantitative Measurement Drives Creative Priorities

Current methods for measuring the value of creative teams center on outputs. That is to say, the metrics tracked tend to quantify the number of creative projects in progress, the rounds of review, and the number of projects completed over time. 

These metrics are important, but alone they are insufficient. A complementary way to prioritize large volumes of creative requests is focusing on those tasks most likely to move the business needle. The barrier to achieving this is that most creatives aren’t kept informed as to the outcomes of marketing campaigns fueled by their creative efforts. This must change.

With the growing demand for content, the margin of error for applying creative resources to projects that don’t correlate to business results shrinks. Marketing organizations must build a feedback loop that brings quantitative results back to the creative team. In turn, creative teams must learn to use the data to drive their work priorities in collaboration with marketing. 

5. Creative Resource Management Becomes Essential

Resource management is both a leadership concept and technology (or a combination of technologies). It’s a means to plan, track, collaborate and measure creative operations, including people, processes, and budgets.  

Traditionally, planning and tracking of all things creative and marketing occurred in a spreadsheet. It works well when the future is generally predictable – yet cliché as it may be to say it – we are living in a state of uncertainty. 

Like many trends over the last 18-24 months, the global pandemic “forced virtual experiences, disrupted marketing channels and campaigns, and accelerated companies’ transition to digital marketing,” according to Forrester. The research firm calls resource management “essential” because it helps move “planning from static spreadsheets to a dynamic and real-time environment.” 

Final Thoughts

Yogi Berra paraphrased an old Danish proverb when he said, “It’s tough to make predictions, especially about the future.” Even so, the pandemic has accelerated trends that were already underway, and these five trends are good examples. More than just watching them, creative and marketing leaders should take steps now to get ahead of them.

 

Featured image via Pexels.

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Ever since the Python programming language was born, its core philosophy has always been to maximize the readability and simplicity of code. In fact, the reach for readability and simplicity is so deep within Python’s root that, if you type import this in a Python console, it will recite a little poem:

    Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. The complex is better than complicated. The flat is better than nested. Sparse is better than dense. Readability counts…

Simple is better than complex. Readability counts. No doubt, Python has indeed been quite successful at achieving these goals: it is by far the most friendly language to learn, and an average Python program is often 5 to 10 times shorter than equivalent C++ code. Unfortunately, there is a catch: Python’s simplicity comes at the cost of reduced performance. In fact, it is almost never surprising for a Python program to be 10 to 100 times slower than its C++ counterpart. It thus appears that there is a perpetual trade-off between speed and simplicity, and no programming language shall ever possess both.
But, don’t you worry, all hope is not lost.

Taichi: Best of Both Worlds

The Taichi Programming Language is an attempt to extend the Python programming language with constructs that enable general-purpose, high-performance computing. It is seamlessly embedded in Python, yet can summon every ounce of computing power in a machine — the multi-core CPU, and more importantly, the GPU.
We’ll show an example program written using taichi. The program uses the GPU to run a real-time physical simulation of a piece of cloth falling onto a sphere and simultaneously renders the result.
Writing a real-time GPU physics simulator is rarely an easy task, but the Taichi source code behind this program is surprisingly simple. The remainder of this article will walk you through the entire implementation, so you can get a taste of the functionalities that taichi provides, and just how powerful and friendly they are.
Before we begin, take a guess of how many lines of code this program consists of. You will find the answer at the end of the article.

Algorithmic Overview

Our program will model the piece of cloth as a mass-spring system. More specifically, we will represent the piece of cloth as an N by N grid of point-masses, where adjacent points are linked by springs. The following image, provided by Matthew Fisher, illustrates this structure:
The motion of this mass-spring system is affected by 4 factors:
  • Gravity
  • Internal forces of the springs
  • Damping
  • Collision with the red ball in the middle
For the simplicity of this blog, we ignore the self-collisions of the cloth. Our program begins at the time t = 0. Then, at each step of the simulation, it advances time by a small constant dt. The program estimates what happens to the system in this small period of time by evaluating the effect of each of the 4 factors above, and updates the position and velocity of each mass point at the end of the timestep. The updated positions of mass points are then used to update the image rendered on the screen.

Getting Started

Although Taichi is a programming language in its own right, it exists in the form of a Python package and can be installed by simply running pip install taichi.
To start using Taichi in a python program, import it under the alias ti:
import taichi as ti
The performance of a Taichi program is maximized if your machine has a CUDA-enabled Nvidia GPU. If this is the case, add the following line of code after the import: ti.init(arch=ti.cuda)

If you don’t have a CUDA GPU, Taichi can still interact with your GPU via other graphics APIs, such as ti.metal, ti.vulkan, and ti.opengl. However, Taichi’s support for these APIs is not as complete as its CUDA support, so, for now, use the CPU backend: ti.init(arch=ti.cpu)And don’t worry, Taichi is blazing fast even if it only runs on the CPU. Having initialized Taichi, we can start declaring the data structures used to describe the mass-spring cloth. We add the following lines of code:

Python

 

 N = 128 x = ti.Vector.field(3, float, (N, N)) v = ti.Vector.field(3, float, (N, N))

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Chatbots Are Here To Stay

Chatbots have been around for a long time and based on the global chatbot market size (and the expected growth), they will stick around for a long time and gain importance. In the past, they’ve rarely met customer expectations or provided much positive experience. However, over the last few years, advances in conversational AI have transformed how they can be used. Since chatbots offer a wide range of applications, in certain cases, they become responsible for collecting and protecting personal information as well. 
Consequently, they are a great attraction for hackers and malicious attacks too. The responsibility of ensuring chatbot security has become more evident after the introduction of GDPR in Europe. As statistics show that this technology will be a determining factor in our lives, security testing must also become part of our daily tasks, so that these chatbots can be used with confidence.

Security Risks, Threats, and Vulnerabilities                 

The words risk, threat, and vulnerability are often confused or used interchangeably when reading about computer security, so let’s first clarify the terminology:

  • Vulnerability refers to a weakness in your software (or hardware, or in your processes, or anything related). In other words, it’s a way hackers could find their way into and exploit your systems.
  • A threat exploits a vulnerability and can cause loss, damage, or destruction of an asset – threats exploit vulnerabilities.                
  • Risk refers to the potential for lost, damaged, or destroyed assets – threats + vulnerability = risk! 
The well-known OWASP Top 10 is a list of top security risks for a web application. Most chatbots out there are available over a public web frontend, and as such, all the OWASP security risks apply to those chatbots as well. Out of these risks, there are two especially important to defend against, as in contrast to the other risks, those two are nearly always a serious threat — XSS (Cross-Site Scripting) and SQL Injection.
In addition, for artificial intelligence-enabled chatbots, there is an increased risk for Denial of Service attacks, due to the higher amount of computing resources involved.

Vulnerability 1: XSS – Cross-Site Scripting

A typical implementation of a chatbot user interface:           

           

  • There is a chat window with an input box.
  • Everything the user enters in the input box is mirrored in the chat window.
  • Chatbot response is shown in the chat window.

The XSS vulnerability is in the second step — when entering text including malicious Javascript code, the XSS attack is fulfilled when the web browser is running the injected code:

 <script>alert(document.cookie)</script>              

Possible Attack Vector

For exploiting an XSS vulnerability the attacker has to trick the victim to send malicious input text. It can be done through one of the following ways: