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“Minimum Viable Product,” or “MVP,” is a concept of agile development and business growth. With a minimum viable product, you focus on creating the simplest, most basic version of your product, web application, or code possible.

Minimum viable products include just enough features to attract early adopters and validate your idea in the early stages of the development lifecycle. Choosing an MVP workflow can be particularly valuable in the software environment because it helps teams receive, learn from, and respond to feedback as quickly as possible.

The question is, how exactly do you define the “minimum” in MVP? How do you know if your MVP creation is basic enough while still being “viable”?

Defining the Minimum Viable Product: An Introduction

The concept of “Minimum Viable Product” comes from the Lean Start-up Methodology, introduced by Eric Ries. The purpose of MVP is to help companies quickly create versions of a product while collecting validated insights from customers for each iteration. Companies may choose to develop and release minimum viable products because they want to:

  • Introduce new products into the market as quickly as possible;
  • Test an idea with real users before committing a large budget to product development;
  • Create a competitive product with the use of frequent upgrades;
  • Learn what resonates with the target market of the company;
  • Explore different versions of the same product.

Aside from allowing your company to validate an idea for a product without building the entire concept from scratch, an MVP can also reduce the demand on a company’s time and resources. This is why so many smaller start-ups with limited budgets use the MVP and lean production strategy to keep costs as low as possible.

Defining an MVP: What your Minimum Viable Product Isn’t

When you’re building a Minimum Viable Product, you’re concentrating on developing only the most “essential” features that need to be in that product. For instance, you might be building a shopping app for a website. For the app to be “viable,” it would need to allow customers to search through products and add them to a basket or shopping cart. The app would also need a checkout feature and security components.

However, additional functionality, like the ability to send questions about an item to a customer service team or features that allow clients to add products to a “wish list,” may not be necessary straight away. Part of defining a minimum viable product is understanding what it isn’t. For instance, an MVP is not:

  • A prototype: Prototypes are often mentioned alongside MVPs because they can help with early-stage product validation. However, prototypes are generally not intended for customers to use. The “minimum” version of a viable product still needs to be developed enough for clients and users to put it to the test and provide feedback.
  • A minimum marketable product: An MVP is a learning vehicle that allows companies to create various iterations of an item over time. However, a minimum marketable product is a complete item, ready to sell, with features or “selling points” the company can highlight to differentiate the item from the competition.
  • Proof of concept: This is another similar but distinct idea from MVP. Proof of concept items test an idea you have to determine whether it’s attainable. There usually aren’t any customers involved in this process. Instead, companies create small projects to assess business solutions’ technical capabilities and feasibility. You can sometimes use a proof of concept before moving on to an MVP.

Finding the Minimum in your MVP

When finding the “minimum” in a minimum viable product, the primary challenge is ensuring the right balance. Ideally, you need your MVP to be as essential, cost-effective, and straightforward as possible so that you can create several iterations in a short space of time. The simpler the product, the easier it is to adapt it, roll it out to your customers, and learn from their feedback.

However, developers and business leaders shouldn’t get so caught up focusing on the “Minimum” part of Minimum Viable Product that they forget the central segment: “Viable”; your product still needs to achieve a specific purpose.

So, how do you find the minimum in your MVP?

1. Decide on Your Goal or Purpose

First, you’ll need to determine what your product needs to do to be deemed viable. What goal or target do you hope to achieve with your new product? For instance, in the example we mentioned above, where you’re creating an ecommerce shopping app, the most basic thing the app needs to do is allow customers to shop for and purchase items on a smartphone.

Consider the overall selling point of your product or service and decide what the “nice to haves” are, compared to the essential features. For instance, your AR app needs to allow people to interact with augmented digital content on a smartphone, but it may not need to work with all versions of the latest AR smart glasses.

2. Make a List of Features

Once you know the goal or purpose of your product, the next step is to make a list of features or capabilities you can rank according to importance. You can base your knowledge of what’s “most important” for your customers by looking at things like:

  • Competitor analysis: What do your competitors already offer in this category, and where are the gaps in their service or product?
  • User research: Which features or functionalities are most important to your target audience? How can you make your solution stand out from the crowd?
  • Industry knowledge: As an expert in your industry, you should have some basic understanding of what it will take to make your product “usable.”

3. Create Your Iterations

Once you’ve defined your most important features, the next stage is simply building the simplest version of your product. Build the item according to what you consider to be its most essential features and ask yourself whether it’s serving its purpose.

If your solution seems to be “viable,” you can roll it out to your target audience or a small group of beta testers to get their feedback and validate the offering. Use focus groups and market interviews to collect as much information as possible about what people like or dislike.

Using your feedback, you can begin to implement changes to your “minimum” viable product to add more essential features or functionality.

Understanding the “Minimum Viable Product”

Minimum viable products are evident throughout multiple industries and markets today – particularly in the digitally transforming world. For instance, Amazon might be one of the world’s most popular online marketplaces today, but it didn’t start that way. Instead, Jeff Bezos began purchasing books from distributors and shipping them to customers every time his online store received an order to determine whether the book-selling landscape would work.

When Foursquare first began, it had only one feature. People could check-in at different locations and win badges. The gamification factor was what made people so excited about using the service. Other examples include:

  • Groupon: Groupon is a pretty huge discount and voucher platform today, operating in companies all around the world. However, it started life as a simple minimum viable product promoting the services of local businesses and offering exclusive deals for a short time. Now Groupon is constantly evolving and updating its offerings.
  • Airbnb: Beginning with the use of the founders’ own apartment, Airbnb became a unicorn company giving people the opportunity to list places for short-term rental worldwide. The founders rented out their own apartment to determine whether people would consider staying in someone else’s home before eventually expanding.
  • Facebook: Upon release, Facebook was a simple social media tool used for connecting with friends. Profiles were basic, and all members were students of Harvard University. The idea quickly grew and evolved into a global social network. Facebook continues to learn from the feedback of its users and implement new features today.

Creating Your Minimum Viable Product

Your definition of a “minimum viable product” may not be the same as the definition chosen by another developer or business leader. The key to success is finding the right balance between viability – and the purpose of your product, and simplicity – or minimizing your features.

Start by figuring out what your product simply can’t be without, and gradually add more features as you learn and gain feedback from your audience. While it can be challenging to produce something so “minimalistic” at first, you need to be willing to release those small and consistent iterations if you want to leverage all the benefits of an MVP.

Suppose you can successfully define the meaning of the words “Minimum” and “Viable” simultaneously with your new product creations. In that case, the result should be an agile business, lean workflows, and better development processes for your entire team.

 

Featured image via Pexels.

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WordPress is by far the world’s most popular CMS. Not only does it dominate the CMS market with a 64% market share, but it also powers 39.6% of all websites. It has taken the internet by storm by democratizing the web for all. Now, anyone can build, manage, and host a successful website without needing a college degree or coding expertise.

However, while WordPress is great at managing many technical aspects, it still can’t do everything for you. Built mostly on PHP, there are often concerns regarding how performant WordPress is. And, with performance impacting everything from bounce rates to SEO rankings to conversions, it’s something that should be on your radar too.

If you don’t know it yet, images are one of the main causes of slow-loading websites. In recent years, WordPress has stepped up its efforts to try and help users with image optimization out-of-the-box.

Still, as we’ll show, it’s not a total solution, and there is still plenty you can do to deliver better experiences on your WordPress website through image optimization.

What is WordPress Image Optimization? Why is it Important?

Simply put, image optimization is anything you do to make images load faster on your website pages. Almost all websites that use images can benefit from some form of image optimization, even those using WordPress.

Why?

Well, performance is a hugely significant factor when it comes to the competitiveness of your website today.

Google has also made performance an increasingly important factor when it comes to SEO rankings. In fact, performance is a direct ranking signal that carries significant weight.

Google’s Page Experience Update that went live in 2021 has been the biggest move in that direction yet. Soon, Google might even use visual indicators in SERP results to distinguish high-performing websites from the rest.

In Google’s own words, “These signals measure how users perceive the experience of interacting with a web page and contribute to our ongoing work to ensure people get the most helpful and enjoyable experiences from the web.”

So, Why Should We Target Images For Performance Optimization?

According to Google, images are the largest contributor to page weight. Google has also singled out image optimization specifically as the factor with the most untapped potential for performance optimization.

This problem isn’t going away soon. According to data by the HTTP Archive, there are roughly 967.5 KB bytes of image data on desktop web pages and 866.3 KB of image data on mobile pages. This is an increase of 16.1% and 38.8%, respectively, over the last five years.

Thanks to popular e-commerce tools like Woocommerce, it’s estimated that up to 28% of all online sales happen on WordPress websites.

And don’t forget, images are both a key part of conveying information to the user and integral to the design of your website. If they take significantly longer to load than your text, for example, it will negatively impact the user experience in a variety of ways.

In summary, optimized images help your WordPress website by:

  • Improving user satisfaction.
  • Improving various traffic metrics, like bounce rates, time-on-page, etc.
  • Boosting your SEO rankings.
  • Contributing to higher conversions (and sales).

How Does Image Optimization in WordPress Work?

WordPress is so popular because it’s a CMS (content management system) that allows anyone to build, design, and manage a website without any coding or advanced technical experience. Advanced features can be installed with just a few clicks, thanks to plugins, and you rarely have to touch the code behind your website unless you want to make some unique modifications.

In short, using a CMS like WordPress shields you from many of the day-to-day technicalities of running a website.

WordPress Image Optimization: What It Can Do

As we mentioned, one of the main reasons WordPress is so popular is because it takes care of many of the technical aspects of running a website. With that in mind, many think that WordPress should also automatically take care of image optimization without them having to get involved at all.

Unfortunately, that’s not really the case.

True, WordPress does offer some built-in image optimization. Whenever you upload an image to WordPress, it currently compresses the quality to about 82% of the original (since v4.5).

In v4.4, WordPress also introduced responsive image syntax using the srcset attribute. This creates four breakpoints for each image you upload according to the default WordPress image sizes:

  • 150px square for thumbnails
  • 300px width for medium images
  • 768px max-width for medium_large images
  • 1024px max-width for large images.

Here you can see an example of the actual responsive syntax code generated by WordPress:

<img loading="lazy" src="https://bleedingcosmos.com/wp-content/uploads/2021/12/33-1024x683.jpg" alt="" class="wp-image-9" width="610" height="406" srcset="https://bleedingcosmos.com/wp-content/uploads/2021/12/33-1024x683.jpg 1024w, https://bleedingcosmos.com/wp-content/uploads/2021/12/33-300x200.jpg 300w, https://bleedingcosmos.com/wp-content/uploads/2021/12/33-768x512.jpg 768w, https://bleedingcosmos.com/wp-content/uploads/2021/12/33-1536x1024.jpg 1536w" sizes="(max-width: 610px) 100vw, 610px">

Depending on the screen size of the device from which a user visits your webpage, WordPress will let the browser pick the most appropriately sized image. For example, the smallest version for mobile displays or the largest for 4K Retina screens, like those of a Mac.

While this may seem impressive, it’s only a fraction of what can be achieved using a proper image optimization solution, as we’ll show later.

Lastly, WordPress implemented HTML native default lazy loading for all images starting with version 5.5.

So, in short, WordPress offers the following image optimization capabilities baked-in:

  • Quality compression (limited)
  • Responsive syntax (up to 4 breakpoints)
  • Lazy loading

WordPress Image Optimization: What it Cannot Do

There are other issues many have with both the implementation of image compression and responsive syntax as it’s used by WordPress. This leads to some users even purposefully deactivating WordPress’ built-in image optimization so they can fully take control of it themselves.

Here are some of the reasons why:

  • WordPress uses a very basic form of quality compression. It does not use advanced technologies like AI and machine learning algorithms to compress images while maintaining maximum visual quality. It’s also lossy compression, so the quality is lost for good. You can clearly see the difference between an original HD image and the compressed version created by WordPress.
  • WordPress only compresses most images by up to 20%, while advanced image optimization tools can reduce all image sizes intelligently by up to 80%.
  • Responsive syntax can provide significant performance improvements over simply uploading a single HD image to be served on all devices and screens. However, it’s still only limited to a set number of breakpoints (typically 3 or 4). Since it’s not dynamic, a whole spectrum of possible image sizes is not created or used.
  • Responsive syntax code is not scalable and can quickly lead to code that’s bloated, messy, and hard to read.
  • WordPress doesn’t accelerate image delivery by automatically caching and serving them via a global CDN, although this can be done using other tools.

Another important optimization feature that WordPress does not have is auto-conversion to next-gen image file formats. Different image formats offer different performance benefits on different devices. Some formats also enable higher levels of compression while maintaining visual fidelity.

Next-gen formats like WebP, AVIF, and JPEG-2000 are considered to be the most optimal formats on compatible devices. For example, until recently, WebP would be the optimal choice on Chrome browsers, while JPEG-4000 would be optimal on Safari browsers.

However, WordPress will simply serve images in the same formats in which they were originally uploaded to all visitors.

How to Measure the Image Performance of a WordPress Website?

As the undisputed king of search engines, we’ll base most of our performance metrics on guidelines established by Google.

Along with its various performance updates, Google has released a number of guidelines for developers as well as the tools to test and improve their websites according to said guidelines.

Google introduced Core Web Vitals as the primary metrics for measuring a web page’s performance and its effect on the user experience. Thus, Core Web Vitals are referred to as “user-centric performance metrics.” They are an attempt to give developers a testable and quantifiable way to measure an elusive and abstract concept such as “user experience.”

Combined with a number of other factors, Core Web Vitals constitute a major part of the overall page experience signal:

You can find a complete introduction to Core Web Vitals here. However, they currently consist of three main metrics:

  • LCP (Largest Contentful Paint): The time it takes the largest above-the-fold element on your page to load. This is typically a full-sized image or hero section.
  • FID (First Input Delay): The delay from the moment a user first interacts with an element on the page until it becomes responsive.
  • CLS (Cumulative Layout Shift): The visual stability with which the elements on a page load.

Here is an illustration of how these metrics are scored:

While these are the three most important metrics to optimize, they are not the only ones. Google still measures other metrics like the FCP (First Contentful Paint), SI (Speed Index), as well as the TTFB (Time to First Byte), TBT (Total Blocking Time), and TTI (Time to Interactive).

A number of these metrics are directly affected by the images used on your web pages. For example, LCP, FCP, and SI are direct indicators of how fast the content of your web page loads and depends on the overall byte size of the page. However, it can also indirectly affect FID by keeping the main thread busy with rendering large amounts of image content or the perceived CLS by delaying the time it takes large images to load.

These metrics apply to all websites, whether they are custom-made or built using a CMS like WordPress.

When using tools like Lighthouse or PageSpeed Insights, you’ll also get scored based on other flags Google deems important. Some of them are specific to images, such as properly sizing images and serving images in next-gen formats.

If you only use built-in WordPress image optimization, you’ll get flagged for the following opportunities for improvement:

Some of the audits it will pass, however, are deferring offscreen images (lazy loading) and efficiently coding images (due to compression):

A Better Way to Optimize WordPress Images: ImageEngine

Billions of websites are all vying for prime real estate on Google SERPs, as well as the attention of an increasingly fussy internet-using public. Every inch matters when it comes to giving your website a competitive advantage.

So, how can you eliminate those remaining performance flags and deliver highly optimized images that will keep both your visitors and Google happy?

Sure, you could manually optimize images using software like PhotoShop or GIMP. However, that will take you hours for each new batch of images. Plus, you still won’t benefit from any automated adaptive optimization.

A more reasonable solution in today’s fast-paced climate is to use a tool developed specifically for maximum image optimization: an image CDN like ImageEngine.

ImageEngine is an automated, cloud-based image optimization service using device detection as well as intelligent image compression using the power of AI and machine learning. It can reduce image payloads by up to 80% while maintaining visual quality and accelerating delivery around the world thanks to its CDN with geographically dispersed PoPs.

Why is ImageEngine Image Optimization Better Than WordPress?

When making a head-to-head comparison, here are the reasons why ImageEngine can deliver better performance:

  • Device Detection: ImageEngine features built-in device detection. This means it picks up what device a visitor to your website is using and tailors its optimization strategy to what’s best for that specific device.
  • Client hints: By supporting client hints, ImageEngine has access to even more information regarding the device and browser to make better optimization decisions.
  • Next-gen formats: Based on optimal settings, ImageEngine automatically converts and serves images in next-gen formats like WebP, AVIF, JPEG2000, and MP4 (for GIFs).
  • Save data header: When a Chrome user has save-data mode enabled, ImageEngine will automatically compress images more aggressively to save on data transfer.
  • CDN with dedicated edge servers: ImageEngine will automatically cache and serve your optimized image assets using its global CDN. Each edge server has device awareness built-in to bring down latency and accelerate delivery. You can also choose to prioritize specific regions.

So, the key differentiator is that ImageEngine can tailor optimizing images for what’s optimal for each of your visitors. ImageEngine is particularly good at serving mobile visitors thanks to WURFL device detection, which can dynamically resize images according to most devices and screen sizes in use today. As of now, this is a completely unique capability that none of its competitors offer.

It allows for far better and more fine-tuned optimization than WordPress’ across-the-board approach to compression and responsive syntax.

If you want, you could turn off WordPress responsive syntax and compression, and you would still experience a performance increase using ImageEngine. However, ImageEngine also plays nice with responsive syntax, so it’s not completely necessary unless you want to serve the highest-fidelity/low-byte-size images possible.

How Does ImageEngine Work with WordPress?

The process ImageEngine uses to integrate with WordPress can be broken down into a few easy steps:

  • Sign up for an ImageEngine account: ImageEngine offers three pricing plans depending on the scale and features you need as well as a no-commitment 30-day free trial.
  • Specify your image origin: This tells ImageEngine where to find the original versions of your images. For a WordPress website, you can just use your domain, e.g., https://mywordpresswebsite.com. ImageEngine will then automatically pull the images you’ve uploaded to your WordPress website.

  • Copy the Delivery Address: After you create an account and specify your image origin, ImageEngine will provide you with a Delivery Address. A Delivery Address is your own unique address that will be used in your <img> tags to point back to the ImageEngine service. Delivery Addresses may be on a shared domain (imgeng.in) or customized using a domain that you own. A Delivery Address typically looks something like {random_string}.cdn.imgeng.in. If your images are uploaded to the default WordPress folder /wp-content/uploads/, you can access your optimized images from ImageEngine simply by changing your website domain. For example, by typing {imageengine_domain}.cdn.imgeng.in/wp-content/uploads/myimage.jpg into your browser, you’ll see the optimized version of that image. Just press the copy button next to the Delivery Address and use it in the next step configuring the plugin.

  • Install the ImageEngine Optimizer CDN plugin: The plugin is completely free and can be installed just like any other plugin from the WordPress repository.
  • Configure and enable ImageEngine Plugin in WordPress: Just go to the plugin under “ImageEngine” in the main navigation menu. Then, copy and paste in your ImageEngine “Delivery Address,” tick the “Enabled” checkbox, and click “Save Changes” to enable ImageEngine:

Now, all ImageEngine basically does is replace your WordPress website domain in image URLs with your new ImageEngine Delivery Address. This makes it a simple, lightweight, and non-interfering plugin that works great with most other plugins and themes. It also doesn’t add unnecessary complexity or weight to your WordPress website pages.

ImageEngine vs Built-in WordPress Image Optimization

So, now let’s get down to business by testing the performance improvement you can expect from using ImageEngine to optimize your image assets.

To do this test, we set up a basic WordPress page containing a number of high-quality images. I then used PageSpeed Insights and the Lighthouse Performance Calculator to get the performance scores before and after using ImageEngine.

Importantly, we conducted this test from a mobile-first perspective. Not only has mobile internet traffic surpassed desktop traffic globally, but Google themselves have committed to mobile-first indexing as a result.

Here is a PageSpeed score using the Lighthouse calculator for WordPress with no image optimization:

As we can see, both Core Web Vitals and other important metrics were flagged as “needs improvement.” Specifically, the LCP, FCP, and TBT. In this case, both the LCP and FCP were a high-res featured image at the top of the page.

If we go to the opportunities for improvement highlighted by PageSpeed, we see where the issues come from. We could still save as much as 4.2s of loading time by properly resizing images and a further 2.7s by serving them in next-gen formats:

So, now let’s see how much ImageEngine can improve on that.

The same test run on my WordPress website using ImageEngine got the following results:

As you can see, we now have a 100 PageSpeed score. I saved roughly 2.5s on the SI (~86%) as well as roughly 1.7s on the LCP (~60%). There was also a slight improvement in the FCP.

Not only will you enjoy a stronger page experience signal from Google, but this represents a tangible difference to visitors regarding the speed with which your website loads. That difference will lead to lower bounce rates, increased user satisfaction, and more conversions.

There was also a 53% overall reduction in the total image payload. This is impressive, considering that it’s on top of WordPress’ built-in compression and responsive syntax.

Conclusion

So, as someone with a WordPress website, what can you take away from this?

Well, first of all, WordPress does feature some basic image optimization. And while not perfect, it should help you offer reasonable levels of performance, even if you use a lot of image content.

However, the caveat is that WordPress applies aggressive, across-the-board compression, which will lead to a noticeable reduction in visual quality. If you use WordPress for any type of website where premium quality images are important, this is a concern — for example, as a photography portfolio, exhibition, or image marketplace like Shutterstock.

By using ImageEngine, you can reduce image payloads and accelerate delivery even further without compromising too harshly on visual quality. What’s more, ImageEngine’s adaptive image optimization technology will provide greater improvements to more of your visitors, regardless of what device(s) they use to browse the web.

Whether or not you still want to use WordPress’ built-in optimizations, ImageEngine will deliver significant improvements to your user experience, traffic metrics, and even conversions.

Plus, true to the spirit of WordPress, it’s extremely simple to set up without any advanced configuration. Just sign up for ImageEngine in 3 easy steps, install the plugin, integrate ImageEngine by copy/pasting your image domain, and you’re good to go.

 

[ This is a sponsored post on behalf of ImageEngine ]

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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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Symbolization is a technique that allows you to translate machine memory addresses to human-readable symbol information (symbols).

Why do we need to read what programs do anyways? We usually do not need to translate everything to a human-readable format when things run smoothly. But when things go south, we need to understand what is going on under the hood. Symbolization is needed by introspection tools like debuggers, profilers, core dumps, or any other program that needs to trace the execution of another program. While a target program is executing on a machine, these types of programs capture the stack traces of the program that is being executed.

Source de l’article sur DZONE

From intrusion detection to threat analysis to endpoint security, the effectiveness of cybersecurity efforts often boils down to how much data can be processed in real-time with the most advanced algorithms and models.

Many factors are obviously involved in stopping cybersecurity threats effectively. However, the databases responsible for processing the billions or trillions of events per day (from millions of endpoints) play a particularly crucial role. High throughput and low latency directly correlate with better insights as well as more threats discovered and mitigated in near real-time. Cybersecurity data-intensive systems are incredibly complex: many span 4+ data centers with database clusters exceeding 1000 nodes and petabytes of heterogeneous data under active management.

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As a UX designer, you get to work on creative, rewarding, even life-changing projects. It’s an industry with flexible working and countless opportunities. All this, and you get paid well too.

It doesn’t matter if you’re not a creative prodigy, or a tech grandmaster; you can learn to become a UX designer with the right mindset, a few tools you pick up along the way, and some committed learning.

By the time you’ve finished reading this post, you’ll be well on your way to designing your new career.

You can do this, let’s get started…

What is a Career in UX like?

Every career is different, but generally speaking, a UX designer works on making a user’s interaction with a product or service (normally websites) as intuitive as possible.

Just as a golf architect designs the layout of a golf course to flow through greens, tees, and holes, with buggy paths for access, and the odd bunker to add a challenge; so a UX designer creates the optimum experience for a site. A golf architect doesn’t need to reinvent the game of golf, and neither does a UX designer need to reinvent websites.

A golf architect will not design a course with a 360-degree sand bunker surrounding a tee (well, they might, but they really really shouldn’t), or a hole too small for a golf ball. In the same way as a UX designer, you’re not going to design an ecommerce site with a cart in the bottom left, a non-existent search feature, or hidden pricing.

The best thing about being a UX designer is that you don’t need to spend years in formal education to get qualified. The flipside is that if you want to be a great UX designer, it’s not a walk in the park.

Every designer is different, but some of the main traits of successful UX designers are: an enjoyment of problem-solving; good listening skills; curiosity; open-mindedness; attention to detail; creativity; communication skills; process-driven; and adaptability.

Before committing to this career path, check out a few podcasts, and read a few blog posts, to dip your toe in the water.

Still interested? Excellent, the next step is…

Getting Certified as a UX Designer

UX design is a practical skill. It’s all well and good knowing the theory, but without practice putting the theory into action no one will give you a chance to prove what you can do. So how do you get practical experience? You get certified, and there are three popular options: online, in-person training, or self-taught.

A good UX syllabus will include portfolio-building projects, tool mastery, networking opportunities, and even 1-2-1 mentorship. As well as learning the fundamentals of UX, you’ll cover user research and strategy, analysis, UI design, and more.

Option A: Online Course

Online courses tend to be much easier on the bank balance, as well as being flexible, which means you can fit them around your current job. You can work at your own pace, and in many cases choose modules that interest you, once you’ve completed the basic introduction.

There are many online course providers, including Coursera, Udemy, Skillshare, and Career Foundry.

Whatever option you choose, it is a good idea to get as broad a perspective as possible, so consider following more than one course — perhaps mix and match a paid course with a free one.

Option B: In-Person Training

This could be a university course, or a local boot camp where you physically sit in with an instructor and classmates.

This is more expensive, but it provides benefits that nothing else does. Firstly, you’ll have classmates you can bounce ideas off, collaborate with, keep motivated, inspired, and accountable. You can also get real-time, intensive coaching and advice from someone who’s been there, done that, bought the T-shirt (and redesigned it so it fits better).

Seach local boot camps and workshops, check out workshops at local conferences, and ask your local college what courses they offer.

Option C: Self-Taught

Being self-taught is the cheapest of all options. Work at your own pace, where, and when you want to. Watch YouTube videos, read blogs, garner information anywhere you can find it.

This option involves a lot of stumbling around in the dark. The biggest challenge is that you don’t know what it is that you don’t know. For this reason, it can pay to follow the syllabus of a local college course, even if you’re not enrolled and don’t attend lectures.

In reality, all education is self-taught to an extent, even the most prescribed courses need self-motivation.

Some of the most in-demand UX designers in the world are self-taught, so why not? Start exploring UX blogs like Nielsen Norman Group articles, Google Design,  UX Planet, and UX Matters.

Mastering UX Tools

Recruiters and hiring managers will seek your technical ability and your experience using popular tools from user research, to wireframing, to prototyping. When you get your first job in UX, the tools you use will be determined by your project manager, so it’s a good idea to have a passing familiarity with the most popular. These will include Maze, Userzoom, Sketch, XD, Figma, Marvel, and Hotjar.

If you’re following a guided course you should get an introduction to at least a couple of important tools. Once you understand one, you can probably pick the others up quite quickly… because, after all… they should be intuitive.

You do not need to know how to code, but understanding the roles, and restrictions of HTML, CSS, and JavaScript is very beneficial. When you get your first UX job, you’ll need to be able to talk about how technologies fit into the plan.

Building a UX Portfolio

Your portfolio is your résumé. The golden ticket. The silver bullet. Amassing a content-rich portfolio is paramount. You don’t need a real-world job to build your portfolio, and you should already have content to add from your course.

You need to demonstrate knowledge of UX tools and processes (what future employers will look for). Case studies that incorporate research, problem-solving, strategy, imagination, and (if possible) results are the best way to do this.

There are a variety of ways of building a portfolio, but the best is taking a real website, and redesigning it. Don’t worry if your first few projects aren’t the best; as long as you demonstrate improvement and growth, that counts for something.

You can showcase your portfolio on sites such as Behance, Dribbble, or preferably create your website.

Landing Your First Job in UX

Start combing the job boards to see which companies are looking for UX designers. There’s a global shortage of qualified UX designers, so if you can’t find anything you’re looking in the wrong place! Make sure your whole network, from your Mom’s hairdresser to the barista at your favorite coffee place know that you’re looking; you never know where a good lead will come from.

Some companies are looking for UX skills as part of other roles. Others are looking for full-time UXers.

Don’t be disheartened if “Junior UX Designer” positions require 2 years of experience; HR just throws this in as a pre-filter. If you think you can do the job, apply anyway, if your portfolio’s good you might get an interview regardless, and if you get an interview they think you’re worth taking the time to meet.

If you don’t get the job, don’t be downhearted. Remember: every time someone else gets a job, that’s one less person you’re competing with for the next job.

Quick Prep on Some Common UX Interview Questions:

  • What’s your interpretation of a UX Designer?
  • What has inspired you to become a UX Designer?
  • How do you take constructive feedback and non-constructive feedback?
  • Who, or what companies, do you look up to in this industry, and why?
  • What’s your process with a new project?

Good Luck!

So, now you know what it takes to get into the field, it’s time to start applying yourself to this newfound and richly rewarding career. As the great writer Anton Chekov said, “Knowledge is of no value unless you put it into practice.” So get out there and practice, practice, practice. Add and add and add to your portfolio.

To become a UX Designer, enroll in a great course, build your portfolio, network, apply for roles, and always be learning. Always be open to new ideas and suggestions. There’s a lot of leg work, but the juice will be worth the squeeze.

Featured image via Unsplash.

The post How to Kickstart Your UX Career in 2022 first appeared on Webdesigner Depot.

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Another excellent guide to help people to prepare for job interviews to give them the best possible chances of success and not make some common mistakes can be find here : https://www.ireviews.com/interview-resources/

article imageIn our previous article from this series we talked about the example predictive analysis architecture found in an edge medical diagnosis solution for the healthcare industry.

The process was laid out how we approached the use case and how portfolio solutions are the base for researching a generic architecture. It continued by discussion how we approached the use case by researching successful customer portfolio solutions as the basis for a generic architecture.

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Is sketching essential to UX and UI designers? Well, if you think of sketching as a way to explore problems and record potential solutions, then yes, it absolutely is.

One of the most challenging tasks of any design process is capturing the initial idea. We’ve all spent countless hours thinking through an innovative solution to a project, only to lose the idea again. It turns out that sketching is a brilliant solution to this problem.

In this guide, you’ll learn how to improve your UX designs using sketching as a tool. First, we’ll answer the question of how sketching benefits design, then we’ll look at the tools you need, and finally what an efficient sketching process looks like. By the end of this 3-minute read, you’ll have valuable new knowledge that will help you as a designer.

Why Sketching Is Important For Designers

When you start working on a project, it’s tempting to jump straight into high-resolution wireframes. But in doing so, you run the risk of spending hours on each little detail, only to discover that the overall concept doesn’t work.

Sketching — unlike drawing, which is about communicating an idea — is a free-flowing, process that allows you to get your ideas down on paper (yes, paper!) fast.

If there’s one thing you take away from this guide, let it be this: sketches aren’t for clients, or colleagues, or Dribbble, sketches are just for you. They’re a non-written way of rapidly making notes. Sketches will help you recall all the possible routes to consider.

Sketching is all about visualizing your ideas quickly and efficiently. When you’re sketching, you don’t have to worry about details, and you don’t have to worry about communicating with anyone else.

By sketching ideas without detail, you can quickly explore numerous solutions for a project. It’s fascinating how sketching can help you visualize an idea and revise it again and again along the way with minimal effort.

So, what revolutionary new tools do you need?

What Tools Do You Need For Sketching?

Designers love new tools, but when it comes to sketching there are relatively few, and you probably already have them to hand.

First, you’re going to need paper. A notebook is fine, it doesn’t have to be high-quality paper; in fact, you will probably feel freer and less restrained if you make sure that it is cheap.

You’ll need something to make a mark on the paper. A pencil is fine, as is a pen, a biro, and just about anything else. Don’t worry about an eraser, sketching isn’t about correcting mistakes, but you will need a sharpener if you’re using a pencil — never draw with a blunt pencil!

Whatever implement you choose, it’s a good idea to have a heavy marker, like a Sharpie, to pick out an important detail, and perhaps a fine pen to add small detail (if required).

Finally, make sure you have a timer to hand. A chess clock is perfect for an old-school aesthetic, but a timer on your phone is perfectly fine. The timer is to make sure you don’t spend too long on one sketch, so you don’t have time to get wrapped up in perfecting the details.

Sketching 101: A Step-by-Step Process

When you’ve been sketching for a while, you’ll discover your own process, and preferred methods. But for anyone new, here’s how to get started.

1. The Initial Idea

As with designing a wireframe, the most challenging step is getting started. Usually, at the beginning of a project, we are overwhelmed. This is because there are so many ideas, and we do not know where to start. For this reason, a detailed analysis of the project is essential.

You can start by thinking about the most important interactions you need to create. This way, you will find out the most important and exciting aspects of the project.

Since most of us get caught up in the fine details, it is beneficial to think of sketching as a brainstorming session. This session is simply about coming up with an innovative solution for a project and visualizing it.

It’s fine to have an idea that you’ll ultimately disregard. This is not the time to edit yourself.

2. Start Sketching

Take a piece of paper and use your sketching tool to divide it into six sections. Set your timer for 5 minutes and start drafting mockups for the first interaction.

Often, designers struggle with this step, and fall back on what they’re used to, i.e. wireframing and high-res mockups. If you find that you’re struggling to start sketching, start by making a mark on the paper; any mark at all. Then, make a second mark. With the third mark, try to position it in a way that says something to you about the project, by its size, weight, position — anything at all. Keep going, and before you know it you’ll have a complete sketch.

It’s vital that you do not exceed the time you give to yourself because sketching is not about fine details. The time is better spent exploring multiple ideas, even if those ideas only serve to confirm that the first idea was the most promising.

Repeating this step can be very valuable. Once you are happy with the results, you can move on to the next and final step.

3. Self-Editing

Unfortunately, you can not take away every concept you have outlined. This step is about choosing your most effective ideas and expanding on them.

Most designers want to create top-notch, detailed designs, and that’s fine. However, sketches are only really helpful for the early stages of a project, and creating perfect sketches in the first stages of a project may not be productive — in fact, it can be restrictive.

It’s often a good idea to combine some of your designs. Redraw them together, and once you’ve done that expand and refine them.

Improve Your Design With Sketching

It doesn’t matter if you think you’re bad at sketching — no one is going to see your sketches except you. Many of us would struggle to sing in public, but are absolutely fine singing in the shower.

Remember that sketching is not about your artistic skills; it’s about capturing an idea and expanding on it. After all, once you have your final design, you will recreate it digitally.

You don’t have to be an artist to be a designer. And since sketching can improve your UX designs, there are many reasons you should give it a try.

Once you’re comfortable with sketching, you’ll find it an invaluable tool for identifying sticking points in a project, and solving them before you reach the wireframe stage.

 

Featured image via Pexels.

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Ginkgo is the testing framework of choice for many projects developed in Golang. Here is an example setup for SonarQube project analysis.

Prerequisites

  • SonarQube server installation: For the purpose of the tutorial I have a docker image running on my machine on http://localhost:9000.
  • SonarQube project: For the purpose of the tutorial I have created a project with project key com.bdpanajotova.golang-sonar-example and name Golang Sonar Example.
  • Golang project for analysis with Ginkgo tests: Here is the example project I use in GitHub.

Here is the documentation for the fast local setup of SonarQube.

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For the last few years, I’m writing articles that describe a new, more functional way to write Java code. But the question of why we should use this new coding style remains largely unanswered. This article is an attempt to fill this gap.

Just like any other language, Java evolves over time. So does the style in which Java code is written. Code written around Y2K is significantly different from code written after 2004-2006 when Java5 and then Java6 was released. Generics and annotations are so widespread now, that it’s hard to even imagine Java code without them.

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