The State of UI/UX Design in Mobile App Development: Trends for 2021
UI/UX Design plays an important role in Mobile App Development. By using attractive UX design, the developers can build unique mobile applications.
It has been estimated that around 90% of users have stopped using a mobile app because of poor performance. This study has proved that a #high-quality user #experience (UX) design is no longer a competitive edge alone. Instead, UX is a critical element in ensuring long-term market #success.
Read Here: https://bit.ly/3zlFaRu
#ui #ux #userexperience #uxdesign #mobileappdevelopment #mobileapplications #design #success #BestUserFriendlyUXUI #latesttrends #LatestUITechnology #TopUXDesigns #TrendsInUXDesignFor2021, #uxdesigner #trends2021 #topmobileapplicationdevelopmentcompanies #Bestmobileapplicationdevelopers #webdesign #outsourcemobileappdevelopmentindia #Hireremotemobileappdevelopers
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#aem #adobe #experience #manager #svsoftsolutions
These days, websites are becoming more and more interactive. From allowing users to insert keywords in a search bar to chat messengers, smart website designers are focusing more on improving the UI/UX of a website/app to make it interactive and drive business revenue. UX and UI are two different facets of web design yet they are connected. UI focuses on design interface and how user interact with it, whereas UX focuses on users experience as they use your product or service.
UI tools give designers what they want to design accurate wireframes, mockups and prototypes and render minimally viable products. UX tools focus on user experience, and can help structure the information architecture. With a lot of focus imposed by companies on UX design, there are many designing tools in the market. Let’s take a look at the best UI/UX design tools that will help you to improve the user experience of your website.
Know the amazing new UI/UX trends at- UI/UX Design Trends In 2019 That Users Like
Sketch is developed especially for Mac OS X users to design websites, icons and interfaces. According to its founder, sketch was designers as an image editor for digital design. Operating like Illustrator and Photoshop, sketch is flexible when it comes to UX design. It has good resizing options, that have been improved, depending on the size of application. Apart from resizing, Sketch has added prototyping to its features that helps designers to transform their designs into interactive prototypes.
Some other advanced features that it provides are stylized vector shapes, 2x zooming export and infinite zooming. It can export images in all three formats- PDF, JPG and PNG. New feature of sketch, performance improvement allowed UX designers to include more texts and images with an aim to give your design, a more creative look. Any process related changes like data resizing or manipulating layers in large documents were simplified with new performance improvement based features.
2. Invision Studio-
Launched in 2018, it is another designing tool for UX having a perfect combination of prototyping, design and collaboration, that results in a great design process. One of the main goal of Invision studio is to have an easy prototype building process. With a full suite of apps, InVision gives designers all of the UI design tools they need to create fully realized and functional prototypes with dynamic elements and animations.
With easy-to-use UI design tools, this makes it easy to collaborate with features that allows developers to share their work as they design it, get feedback and make documented changes at every step. Another useful aspect of InVision is the digital whiteboard that allows team members to get their ideas out there, interact and get all important sign-off before moving forward. Vector drawing tool within Invision Studio, helps to create a website rapidly and so saves a lot of time during the design process. With this tool, designers can create apps for various screen sizes of different devices.
It is a browser-based tool which allows real-time collaboration with vector tools that are capable of prototyping, illustration and code generation. Figma includes style libraries that simplifies creation process and updating a design system. It builds flow by connecting screens and adding in elements like transitions, overlays, interactions and so on. Figma also facilitates version control and audits the development process instantly for designers to keep a track of progress of the project. The new enterprise collaboration feature allows each user of the team to be identified by a cursor with his name being highlighted. Main goal of this feature is to maintain a balance in the design process across a team of designers. Figma is an excellent tool that allows designers to get the best review and feedback on designs in a professional manner.
4. Adobe XD-
Know more at- https://solaceinfotech.com/blog/top-7-ui-ux-design-tools-to-improve-user-experience-of-website/
#user #experience #software #technology
Personalization is the key to providing consumers with a special experience across industries. It enables businesses to ensure that the content that their customers see and receive is worthwhile and meaningful.
A consumer’s digital experience with a brand is primarily determined by how they communicate with the company’s applications. The flow and operation of these applications are becoming increasingly reliant on user consumption trends and behavioural inputs.
The privacy paradox refers to the contradictory desire of newer generations to share personal information in return for services while having little faith in brands. User data protection regulations are becoming more strict in response to weak and unethical consumer experience and data security practises.
Risks associated with data protection and enforcement costs may be minimised. Real-time risks to stored data may be measured using an outcome-based service, resulting in data protection enforcement and a lower risk of legal fines.
How to manage equilibrium between customer experience, security and privacy. Learn how to enable a frictionless consumer experience.
**Walking the Fine Line Between Consumer Experience and Privacy
#consumer #experience #data #privacy #security #ciam
The focus on quickly bringing a product to the market To compete with and race with other companies to introduce a new product or service it came with a huge mess in the coding world, although the concept of -bringing a product to the market as fast as possible- is profitable From the point of view of the business world, but it makes programming world very messy.
For business, it doesn’t matter how your code looks like, all that matters that
is your product work fine?
is it work without any Failure?
is it meet customer requirements or business needs or whatever stakeholders need?
It’s all about making an executable program in a specific period of time that meets the requirements, it doesn’t matter what behind the scene.
So you maybe thought “if everything works correctly, and the output of the product is what desired, Then where is the problem?”
The problem is that you focus on making everything work before the deadline, but you neglected the core basics of clean code and using the best architecture and design patterns that serves your project, you must focus on both writ clean code and finish your work before the deadline and always remember that
“Just because something works doesn’t mean that it cannot be improved”
are you ever stuck with working for someone else code?-maybe the employer was working before you or anyone from your team-
or even open-source code you have just downloaded but you find out that is very hard to modify it and add your features to it, because it’s hard to know the flow of the code, and there are no comments to help you or documentation for this code.
If you ever face such problems, so Its time to learn and stop repeat these mistakes, you may be wondering what is Spaghetti code!
Spaghetti code_ is a pejorative phrase for unstructured and difficult-to-maintain source code._
Spaghetti code_ is a source codes that are tangled up. which, making control within a program very hard to follow._
Spaghetti code is a code that doesn’t follow any rules it just was written as the author wanted to write it, which make other programmers struggle to understand it, or even the author himself.
you don’t tie to any rules, you just coding as you want without Bear the burden of learning new concepts and following it, which will make you finish what you want faster.
In the end, we can say that spaghetti codeis a very very ugly messy code that is working fine.
After rushed the product to market and had made a huge mess in the code, as added more and more features, the code **got worse and worse **until simply couldn’t manage it any longer. It was the spaghetti code that brought the product down, as the mess builds, the productivity of the team continues to decrease, approaches zero, as productivity decreases, management does the only thing they can, they **add more staff to the project **in hopes of increasing productivity.
the new staff, and everyone else on the team, are under pressure to increase productivity. So they all make more and more messes, driving the productivity toward zero. Until they realize that the old code will never be helpful for achieving new progress, then they must build a new system that does everything that the old system does. Not only that, they have to keep up with the changes that are continuously being made to the old system. Management won’t replace the old system until the new system can do everything that the old system does.
#experience #clean-code #development #programming #efficiency
Every company with software developers have their definition of a senior developer. For some that is the age, length of the experience, but for others, it’s a combination of this.
A lot of junior/medior developers are wondering when you become a senior developer. But the question you should ask is, how do you recognize a senior developer?
In this post, I want to give you my view on this. It’s not for every person or organization the same. But you can use it to define your definition out of it.
I write this is because I’ve heard developers use the term “senior” without understanding what it is. After reading this post I hope everyone understand what a senior developer is.
Most of us have faced beliefs that go unquestioned. Such ideas can vary from small daily matters such as grocery shopping to something as serious as religious matters. In my case, it was a professional belief, specifically whether or not integration tests are too slow.
There was a belief in our squad (and our chapter as well) that integration tests were slow and this belief made us not put this issue in our technical debts backlog and we all accepted it as a fact. It continued until the build time in some microservices exceeded 10 minutes and teammates started complaining about them. The first reaction was avoiding integration tests as much as possible and using unit tests instead. I know that it is not a wise decision against which there are many arguments, but It was the decision that the team made. In this post, we will see how this issue got resolved and the build time in our microservices decreased to half.
Finally, over a weekend, I decided to follow this issue and find an answer to the question: Why are our integration tests that slow? I started with writing down all the things I was skeptical about but my mind was just obsessed with @SpringBootTest.
Whenever our tests were running, I saw the Spring logo showing up several times. I thought that @SpringBootTest loaded the full application context per each test class. After a ten-minute search, I realized that all my assumptions were wrong. I found the point in the Spring docs:
Once the TestContext framework loads an ApplicationContext (or WebApplicationContext) for a test, that context will be cached and reused for all subsequent tests that declare the same unique context configuration within the same test suite.
So why did it still load the context per each test class? Actually, it did not. I got this by counting the context loads by a specific piece of text in the log (which is repeating every time the Spring loads the application context).
#java #optimization #experience #tests #springboot
Financial success in venture capital is based on experience and of course the hand of fate in combination with great timing. Nonetheless, without in-depth experience you might be better off spending all your money in an air-conditioned casino with some drinks and entertaining company surrounding yourself.
Within the past years I have been trying to extract and gather the essence of my venture capital learnings, mainly because I don’t like casinos. The truth is betting the odds is only fun if you have an unfair advantage, in venture capital the secret sauce is experience, for sure. I learned a lot from some outstanding people I have worked with along my journey, aside of all the crucial first hand experiences I made myself.
Therefore, I would like to share eight things I have learned the hard way.
#startup #venture-capital #entrepreneurship #experience #machine-learning
Hello everyone! Finally, I can write an article again. There are several ideas that I would want to write. Before, I want to write about another fun project with Deep Learning. Unfortunately, the plan got sidetracked because I got other things to do. After I’m free, I forgot the project and decided to abandon it. Then, I suddenly want to write about my research career experience. Hence, I present you with this article.
In this article, I want to share what I have learned in my job. For your information, I am an AI Research Scientist in Kata.ai. My job desk is to research to tackle some Natural Language Processing (NLP) problems with Machine Learning (ML). It has been one year for me worked as an Artificial Intelligence (AI) Researcher where previously, my job was not a researcher. I would say that I am relatively new in this career.
Based on my experience that emphasizes AI’s research environment, I want to share the researcher traits based on my experience working on my research team. The team consists of several Ph.D. graduates. I want to give you an overview of some of the researcher traits. The overview is based on my view, which has just stepped on a researcher career. I hope it provides some insights for anyone who has interested in it.
#experience #careers #research #traits #ai
So you want to be a programmer? Great! You’re already in a better place than I was when I started. I wanted to be a mechanical engineer back in 2012 but didn’t have enough grades to get admission into a good college. Long story short, I got into Computer Science not by choice, but by fate.
As Steve Jobs said in his famous speech at the Stanford Commencement ceremony in 2005,
You can’t connect the dots looking forward; you can only connect them looking backward.
How computer science changed my life, is a story for another time. I wish I’d known these 10 things before I started. I would have been a better programmer by now if I did.
If you’re a new developer just starting to get your hands dirty in the vast ocean of software development, these 10 things will prepare you better for the long journey ahead. Or if you’re a seasoned developer with years of experience, I’m sure you would agree & possibly add more points.
#software-development #programming #coding #web-development #experience
Humans are wired for prejudice. When we start coding in a programming language we do not feel comfortable with, we always point out those features that annoy us the most. Sometimes it is difficult to put these features into the corresponding context and understand the reasons why they were designed. This does not necessarily mean these features are wrong or incorrectly designed. They are part of a learning process and are gradually incorporated into our programming skills. In this post, I enumerate some of the features (7 in this case) I found more troublesome/weird/bummer during my Golang learning.
#coding #golang #go #experience #programming
Two years have passed since I started my PhD, and recently I have been reflecting at what I have learned. It has been a roller coaster ride with many ups and downs. There were many sleepless nights, frustrating moments and of course, many learning experiences.
In this article, I would like to share with you 10 lessons I have learned throughout the past 2 years while being a research student in a field related to data science. If you are planning to start an academic career or you have already started, I hope you find these 10 lessons useful. Let’s get started.
The important thing is not to stop questioning.
— Albert Einstein
Photo by chuttersnap on Unsplash
The related work in your field holds all the knowledge you need to know. If you are new to research and searching for a topic, the best place to look for is the existing work in your field. However, remember to have an open mind when reading others’ work. Don’t blindly believe everything and always ask questions. Think about what you would do if you were to solve the problem and the reasons behind your choice of methods.
I have been messing with tools to benchmark different datasets since the beginning of my PhD.
#education #data-science #experience #learning #research
If you are a Machine Learning/Data Science enthusiast who desires to enter this field, chances are you must have taken Coursera or Fast.ai’s Deep Learning Specialization, or have come to Kaggle to practice and polish your skills. Those are great learning materials that will equip you with solid knowledge and nice training experiences.
However, from training ground to the battlefield is still a great distance. Schools, courses, and competition only focus on machine learning algorithms, which only plays a small part in a real-life machine learning project. There are other things that courses and competitions will not help, and you can only learn once your foot is set in the real world.
One year working as a Machine Learning Engineer has greatly impacted on my mindset and practices on how a machine learning project should be executed. In this post, I will share some of the lessons that I learned in this first year.
When taking courses or taking part in competitions, I was usually given machine learning **problems, **crafted by machine learning experts. Naturally, it comes with very clear instructions: the objectives, the dataset, context, and explanation, etc. My job was just to play with the data and produce the results, no question asked.
In real life, what comes to me are **business problems, **requested by the business team and/or product team. Thus, it should be expected that the problem statements can be confusing and ambiguous, with no instruction provided. Even when things seem clear, it can’t be sure that the way I interpret the problem is the same as the business team’s. So, my first task is not to solve the problem, but to ask questions.
#machine-learning #experience #data-science #guidelines #work-experience #deep learning
Web design encompasses many different skills and disciplines in the production and maintenance of websites. The different areas of web design include web graphic design; interface design; authoring, including standardised code and proprietary software; user experience design; and search engine optimization.
#web #design #learning #education #experience
Node js developer
So, how many times do you feel like traveling back in the past and starting ‘not from scratch’ but at least tiptoeing safely from the mistakes you made.
On a serious note, it just sometimes churns my head for just simple steps that could have made us all winners through our doomsday(the placement days).
First, choosing your niche
Not everyone can own “c/c++/java” as their cup of tea, but there is a whole lot of big world out there where you could not only dip your feet but swim through, like try- web development, cloud engineering, IOT and many more.
Second, Develop something Real
Yeah, I get it they all study like sheeps in heard, everyone asking for Datastructures, linked list, and stuff, and even if after trying, you feel like “you just can’t win it…”, Drop it! Design your portfolio the way you want. Show the most amazing applications instead, that you designed with all your hands on. You might give them a spark in their eyes, compensating your downfalls.
Third, Never ever underestimate yourself
The job you are getting it’s not because of luck, byChance or they are generous or anything you just have to stop feeling that. You might feel like everyone is far superior to you, but you still deserve it. Just you have to find your place to fit in. Might not be as a hardcore “Developer” but start as an “Analyst” or “UI/UX Designer” or “Data scientist”. The IT industry is not limited to coding only. Go, find your Niche!
Summary: Always go to the interviews with all your arrows polished in the quiver either as a fresher or an experienced. You can turn the interviewer as an audience where you can display your love of Technologies and display all your masterpieces.
#experience #web-development #react