An Introduction to Design Systems, their uses, why we should use them and the nuances surrounding the topic.

Angular JS Technology – The tech that rules the Internet

Often described as the HTML for applications and software, AngularJS is one of the go-to tools for frontend programming nerds. An extension of Java, this frontend framework does have several features that set it apart from contemporary tools. One of the most noticeable features of AngularJS is its application on the internet. It can be argued that the use of AngularJS has made web browsers and their various extensions more interesting. Let us have a look at what makes this particular tool such a top draw.

What is AngularJS?

When talking about AngularJS there are two words that quickly follow – ‘user interface’. UI is one of the most desired aspects of a website that draws in viewers and influences their choice to make use of its various features. AngularJS is primarily used to develop applications for the internet. Since it was first launched in 2009, most applications and websites have made use of AngularJS to a great extent. AngularJS has built-in directives which are applied to incorporate new syntax into browsers.

Features 

While in its essence AngularJS may seem like any other framework with several similarities, but what truly sets it apart is its comprehensive set of features that cover pretty much any requirement you might have as a web application developer. So let us have a look at some of the most prominent features that have made AngularJS so popular.

1) The AngularJS Community: Given its decade-long existence and the number of users it has worldwide, AngularJS has a well-developed community which serves as a repository of information which includes tutorials, tips, guides etc. The wealth of experience within the community is also something that makes this framework desirable.

2) Open Source Coding: AngularJS makes use of open-source codes which allow a great deal of flexibility for developers. The freedom to customize as the developer wishes is something that will eventually lead to better quality of a product. The level of security that this framework offers is another desirable aspect of its open source nature.

3) Documentation: AngularJS offers comprehensive documentation with all the desirable features one might possibly need to get working.

4) Two-Way Data Binding: Possibly the most desired aspect of angularJS. This type of binding facilitates the cohesion between the DOM and the model that you are using. The simplicity of this binding process is truly an appealing factor.

5) Templates: The templates that Angular JS has to offer are in traditional HTML. AngularJS acts as a buffer between the DOM and browser as it feeds the template into the browser.

6) The architecture: While AngularJS does not fully utilize the model-view-controller (MVC) architecture, it does apply the basic principles. The way in which it functions, it would be more appropriate to say that it uses the Model-View-ViewModel (MVVM). This model offers the perfect environment to begin crafting your application.

What’s new with AngularJS

Being an Open source framework, Angular users enjoy constant updates for the main framework as well as all extensions. The latest version of AngularJS, version 5.1 was released in december 2016 along with the updated version 1.6 of Angular CLI. While the framework update does not have many new features, many of the bugs in the previous versions have been fixed in this version. The regular freezes and crashes have been minimized. One of the stability fixes made is in the Service Worker package which was previously experiencing several crashes on loading. Another update added in 5.1 is the i18n update which now allows you to set local ids and customize them.

How Relevant will AngularJS be for your Future

Given its general nature and purpose, AngularJS faces severe competition in the market. There are many alternatives that are in use today for the same purpose. However, the same can be said of Java on which all these tools run.

Angular’s appeal at this point is at its highest. Developers prefer the use of Angular because of its directives and the wide range of possibilities they entail. While Python related tools do pose a threat to AngularJS, its relatively brief legacy, for now, remains unchallenged and the testaments of its potential are more than serve as a deterrent to switching completely to alternatives.

How AI will lead to the era of Robotics

The concept of robots has been around for so long that it precedes the roots of most modern technology. Automated machines that are capable of doing more menial tasks could be dated back to as early as 4th century BC with steam-powered automatons doing menial tasks.

Back then scholars and philosophers like Homer saw robots as a means of human salvation as it presented the possibility of human equality, slavery being a huge issue at the time. However, a couple of millennia later the take on robotics had a slightly darker undertone. Works of post-industrial novelists such as James Orwell and movies such as ‘The Terminator’ depicted robotics as the end of mankind.

Even early 20th-century technology experts believed that robotics could lead to massive layoffs and could destroy working-class communities and they were not wrong. The first sign of mainstream robotics came in the early 70s when hydraulic arms started taking over production lines at a car and heavy machines factories. Cities such as Detroit and Munich suffered massive layoffs. Yet the use of automated machinery continues with several verticals such as AI built around them.

The State of Robotics Today

Robots have come a long way from their early hydraulic single motion ancestors and are surprisingly doing a lot a lot of things that most humans could only dream of achieving in their entire lifetimes. From Toyota’s Kirobo having a conversation in space to Sophia’s Saudi Arabia Citizenship, robots are going places and bringing certain science fiction theories that were once dismissed as hogwash, to life. With the exception of breaking Asimov’s three laws of course. Nonetheless, robotics is going through huge advances today especially with technologies like AI and Machine Learning catching up quite fast. Certain industries have become so accustomed to robotics that industry veterans now wonder how they survived without them. So, let us take a closer look at the some of those things.

1. The Space Bots:

When the seven Mercury Astronauts were under the threat of being replaced by a monkey, the last thing they would’ve been thinking would be that after 50 years people have to go through the same thing with robots. Well even if they did think that, they would not have been wrong. Because today most of the transplanetary missions are being carried out by rovers and the robots aboard the ISS are beginning to function more and more like their human counterparts. For astronomers and researchers, it is truly hard to imagine sending another human to the moon let alone to Mars.

So, in that respect robots have allowed us to go farther than we would have ever imagined possible and they aren’t just there planting a flag, instead they are drilling on its surface, running tests and sending in chunks of data that would have taken a human a lifetime to collect.

2. Drones:

There is no better field to measure the impact of robotics than the defense sector. Robots have been a huge part of many important military operations in the past two decades. Particularly the Drones guided by AI are capable of flying, targeting and even firing from long range as a staple of the U.S. air force.

However it is not just the terminator style drones that are making the headlines, but recent years have also seen a hike in the number of shopping drones and transport drones. The use of flight-capable drones guided by AI could be argued as one of the largest prospects for the retail industry.

3. Transportation:

Automated transport is a field that has been picking up pace off late. Self-driven cars, locomotives and aircrafts are thought by many experts to be the future of transportation. Every day, AI advancements in transport is showing promising results that could in the near future be translated to mainstream modes of transport.

4. Machine Learning:

One of the most recognizable features in robotics today is the technology known as machine learning. Machines and programmes that are capable of analyzing various patterns of the tasks that they are assigned to and create their own set of algorithms to function around more effectively. The introduction of machine learning to robotics has been one of the largest leaps in the industry. Humanoid robots are making a mark in several areas of the industry with many acting in movies, working as astronauts, therapists, nurses, yes that’s right nurses! Soon the caring feminine touch will be replaced by the cold metal claws of a robot named after the tiny metal gerbils from ‘Thundercats’.

Is the ‘Storm’ really Coming?

Well back in 1984, that line could be dismissed as James Cameron just being crazy but today we are really not in a position to tell. As a matter of fact, something big is bound to happen by the year 2029. Not on Skynet proportions but more on the lines of an AI-based global network that will function all by itself. Coming to think of it that sounds exactly like Skynet but on a more nerdy tone.

Levity aside in the decade to come organizations like SpaceX, Tesla and Google are going to put most of their resources into developing AI technology to such an extent that total automation would be possible. Elon Musk’s dream of setting up a space colony on Mars revolves largely around the prospect of AI technology that would help us from the designing phase of the space crafts to the setting up of habitats on the red planet.

Backed by AI, the possibilities of advancements in robotics are endless. Even the hardware capabilities are going through an overhaul with robots now being equipped to mimic human-like body physics. At this point the possibilities seem endless, but, only time can tell how far we can go with this.   

What is User Research and Why should you do it?

Research, as we all know, is a crucial aspect of any undertaking, be it shopping for clothes or building your own backyard nuclear-powered submarine. Especially if you are a UX designer, research is quite important to understand the what people want from the product that you design. Without a clear understanding of what your users’ needs are and what they expect, you might as well be throwing darts in the dark. Unlike designing, user research is almost a never-ending process which needs to be carried out throughout the product’s lifecycle. However, in this article, we will focus on the user research for designing and what you need to know when you are starting out.

Where should you start?

There are a lot of points from where you can start your research depending on the nature of your product. A hypothesis of your current objectives will provide a picture of the goals you seek to achieve through the research.  

1. Introspection

Before starting the research process itself it would be a good idea to try and define your product, the basic function it would serve and the demographic it is intended for. At this point, discovering the problems users presently face in the market would help define your products’ purpose. Analysing the market demand and your chances of proliferation would also be a wise strategy at this stage because going back to the drawing board because of an overcrowded market is never a good contingency.

2. Conceptualization    

Identify various business demographics that you feel might be interested in your product and understand their real-time user goals. Conducting surveys, interviews, focus groups etc. are among the many methods that are commonly used. The data achieved through research can be broadly classified between qualitative, quantitative, attitude and behavioral. Using the all the information and feedback thus received to create a rough iteration of the design.

3. Research Methods

• Surveys

Surveys are often an easy way to start out with UX research. With online surveys being a huge trend today, it is not hard to find participants. However, the ease of finding participants hardly makes up for the level of inaccuracy involved in this process as most people tend to give biased responses. Short surveys with simple, well-worded questions involving both open-ended as well as multiple choice questions tend to work best with this method.

• Interviews

Interpersonal Interviews are one of the oldest, tried and tested methods of understanding users and getting to know them. Interviews offer a great deal of flexibility when it comes to questions and ensuing discussions that could lead to a higher level of revelation. Compiling a valid set of questions and putting them through a trial run before the interview to check their feasibility will help. As always the interviewer must remain calm and composed and make the user feel comfortable before the interview. Engaging the user to get the most out of them would be a good idea.

• Focus Groups

Engaging a small group of people in a discussion on your product and its potential can bring out valuable insights and ideas. However, this process has a good chance of backfiring as groups tend to follow a herd mentality eventually leading to supporting the popular opinion rather than their own which ultimately can produce inaccurate data. Allowing each person in the group to express themselves properly is the key to success when dealing with focus groups.

• Usability Testing

One of the most effective methods of UX research is usability testing. This method involves putting the target users through a set of tasks designed to demonstrate the features and functionality of your product. This process can be leveraged to derive valuable inputs. Although not as elaborate as with questionnaires, usability testing provides the most accurate data and feedback. There are several methods of usability testing as well as tools that can aid in carrying out the processes.

4.Analysis

The data derived from these research methods can be analyzed and compared with your initial hypothesis. By doing so you will get an idea of the changes that need to be done. One of the advantages of UX user research is that it can be done at any stage in the development process and it’s up to you to choose the most valid method at your current stage.

Conclusion

When it comes to UX it is easy to lose your way with designs and most of the time designers end up designing the product with their own needs in mind and that of their investors as well. Research here can offer a neutral perspective and bring out the best ideas that users can identify with. While each method has its own advantages it would be ideal to use them in combinations to paint a wholesome picture.

How AI will shape the future of Internet of Things (IoT)

The Internet of Things (IoT) has been the topic of discussion for the past few years. It seems as though everyday the IT universe is finding new applications for IoT and its mainstream plausibility is becoming more. While considered a brand new vertical with endless possibilities IoT is just an extension of Artificial Intelligence. The very idea of IoT spawned from the prospects that AI has shown in the past. The idea of devices being connected with each other and communicating is something that is truly a remarkable point in human civilization. When we take a closer look, it sheds light on the extent to which AI has grown and the development it has brought about in other verticals.

While the application of AI in other verticals such as robotics, automobile, marketing etc. create reason for argument due to the various threats they pose, IoT is a vertical that at the moment poses no such threat, unless they start transforming into little killer robots and tearing your house apart.

Device Development and AI

Today we have more machines around us than we have human beings. If we introspect it might seem that we are spending more time with our smartphones than we are with other human beings. While a frightening realization, it is the future that we have been building since we first sprouted on this earth. At the brink of achieving that reality, we are now at the stage where we are exploring choices and trying to make the right steps towards them. The devices that we are coming up with reflect these steps and that is where the concept of AI raises some interesting questions for IoT.

While AI is primarily used as the cornerstone of devices, in IoT it plays several roles. There is much there that could influence how the IoT would react with our world. Further along the way it would boil down to the popular paradox of the chicken and the egg. Which technology would shape our future- AI or IoT?

It is easy to argue that advances in both these technologies would be of equal consequence. However, that is not the case. The very correlation between these two verticals is just as defined as how contrastingly they could influence each other. Machine learning is a key aspect of the progress that IoT is making. An IoT network that would consist of devices with sensors, video surveillance tools etc. will be capable of monitoring the functioning of the other devices. For software related issues certain devices will be equipped with troubleshooting tools both for themselves as well as other devices. Data is the instigating factor that could influence all these technologies and it is data that will continue to govern them in the future. The expectations would again fall upon AI to make the best out of the data.

IoT in Data Analytics

The idea of developing actionable insights is something that in recent years has provided a huge update for the use of AI and IoT services. As these technologies function using data, the uses become well defined and the margin of error depends only on the validity of the data. This creates avenue for wearable ‘smart’ devices to actually function in a sentient manner. Devices such as the heart rate monitor watches, various goggles allow provide vital data that could be relayed to your doctor, your banker, even your barber, who could avail the analyzed output that they could use to customise the service they provide.

Deep Learning

Deep learning is a breakthrough in IoT. This technology facilitates devices to go beyond the prosaic machine learning algorithm. Deep learning draws from a plethora of sources to arrive at a solution on any given subject. This comprehensive approach to producing solutions could become a key driving force for IoT and how the various devices around us function under it.

Conclusion

The many exabytes of data that is being produced now allow for further proliferation on the IoT front. Going ahead, it is AI’s data analytics capabilities that could facilitate this growth. Both machine learning and deep learning both function on the data that is procured through AI data analytics.

With the AI data analytics process being non-stop, big data and other verticals are proving to be vital resources for IoT. Many industry experts believe, actionable insights will be the key to the future. The possibilities with actionable insights are endless and investments in AI have been made to speed up and increase the productivity.   

GoodWorkLabs is hiring and we are conducting a massive interview drive for UI Developers at  Apttus Software Private Limited – Bangalore.

This is your chance to boost your career and work on some amazing projects.

Walk-in details: Saturday 24th March | Time: 9 am to 2 pm

Job Description: UI Developer

1. Should have a minimum of 3 years of work experience

2. Should be proficient with Angular JS, Javascript, HTML5, CSS3

3. Have an enterprising attitude and be a goal-getter.

Walk-in Interview details:

Date: 24th March 2018 | Saturday

Time: 9 am to 2 pm

Address: Apttus Bangalore Office, 5th Floor, Salarpuria Touchstone Sarjapur, Varthur Hobli, Outer Ring Rd, Marathahalli, Bengaluru, Karnataka 560103

Contact Person: Malar

If you are looking for that ONE chance to give your career a boost, then drop by for an interview and walk out as a Technology Superstar!

How to use Product Thinking in UX Design

The original premise behind user experience which is often understated is the fact that lies in its namesake itself- to make the user’s experience with any product better. Product designing is an intricate and complicated process where the designer could get lost in a coded web and in all the ruckus it is easy to ignore the user’s needs. Designers can hardly be blamed for doing so because every product has a fundamental purpose it tries to serve which defines its existence.

The features of a product are hardly of any consequence if they don’t satisfy individualized needs and goals. This redundancy factor is what prompts a need for more comprehensive strategies like product thinking.

What is Product Thinking?

To put it in simple terms product thinking is a strategy where the product is the sum of all the users’ expectations. Here the users are the instigating factor and the product becomes the end result. The common pattern followed with product thinking is as follows:

Start with the user

• What is the problem your product would seek to address?
• What is the target audience?

The Job at Hand

• The idea behind it?
• How would you go about executing it?

Your Expectations

• The goals you seek to achieve.
• The resultant features that come out of the aforementioned efforts that would go into your product.

Product before Features

A common flaw when it comes to designing is the amount of emphasis that designers put into features. While features are important, for most designers building a product means creating a preset of features that will eventually define it. This is where they lose touch with what the user actually needs. With product thinking, the idea is to visualize the product during inception as it will be presented to the users. The features are then added in to complement that idea and build the ideal product.

Defining the Product and its Purpose

The level at which user experience is today, understanding the user is not that much of a task. With such valuable resources at their disposal designers get a clear picture of their target audience, their issues, the vision behind the product and its end goals. However, this part is easier said than done because when it comes to users their problems are often latent and it is up to UX professionals to uncover them.

Once designers comprehend the purpose why people would purchase their product in the real world, they can create a rough idea of what the product would be like, what it would mean to them and what ends it would serve. Once this core aspect of the product is laid down, the features will automatically fall in place and the designers can tweak them in any way that would ultimately enhance the user experience.

Problem vs Solution

For a designer, there are many ways to go about solving problems with a product but understanding the heart of that problem is what sets the bar for innovation. Many see problems as a prosaic concept where consequence translates to causation. But, in the real world problems with a product can be anything. In some cases, things that are seemingly negligible could be causing people to walk away from your product.

The complication here is that people themselves seldom realize this fact. The users know that they don’t like the product, but they can’t explain why. So designers have to delve deep into the psyche of the users to understand the problem and fix the product and its features.

Conclusion

Product thinking in its essence is the combined effort of everyone involved in a project. It is as abstract as a concept as to implementing it. Yet without it, a design is nothing more than just a UI. The layers of research from both the product management and designing point of view leave little room for doubt when it comes to users.

How AI is changing the Advertising and Media industry

Over the past decade or so advertising has changed drastically. From the humble copywriter/editor complement, advertising today has turned into a multidimensional effort with professionals from multiple verticals pitching in to achieve the end result. This, of course, is no surprise considering the deep impact that IT has had on almost anything and everything. If a copy editor were to tell you 15 years ago that his computer will be taking care of your advertisement and its standing, you would have thrashed him with his keyboard and taken him to a mental asylum. Yet here we are at the pinnacle of IT (as far as we know) and computers are planning ad placement, bidding for keywords and updating you the status of their efforts. So the question we need to ask ourselves is how far can this be leveraged.

The use of AI and Machine learning for such processes is nothing new. As a matter of fact, the current usage of AI in advertising is still relatively primitive. But the inroads we are making through the use of this technology is substantial. However, for AI and machine learning to make any sort of assessment the most important thing is data and it needs lots of it.

What is Data Driven Advertising? 

Anything you do on the internet required the use of data and while you do it generates data as well. From a business perspective, one of the biggest reasons why organizations use the internet is for advertising. Advertising is a multi-billion dollar industry with many dimensions within. Among them internet today is the most prominent and offers the most comprehensive results. So what kind of data is it that floats around the internet to help out with advertising. Well, the answer is pretty much everything, from search histories to personal information, social media updates to data pertaining to behavioral attributes, the internet is a repository for all these. Big data as we all have come to know it is what drives this process. While in the past data-driven advertising was largely based on manual analytics, the vertical today relies on automated technology.

The AI and Machine Learning Influence on Advertising     

While still in their inception stage, both machine learning and AI are being used more than we might have anticipated.

• Search History: Most of the data that is available today on the internet comes from search history. For advertisers, tools like Google AdWords offer keyword suggestions that tend to draw in more viewers based on their activity. This largely automated service provides an edge over competitors to place your ads with the right keywords. Be it product, service or information, anything you search for on the internet gets registered irrespective of the search engine. This information is then transferred to the highest bidder like in the case of Google as part of the google analytics tool. So advertisers who are registered with the tool gain access to your location, the products you were searching for, your brand preference if you have purchased anything and so on.

• Voice Recognition: Online shopping’s next frontier-voice recognition devices like Amazon’s Alexa and Google Home are currently taking the entire e-commerce sector by storm. The ability of these devices to relay your requests as well as make suggestions based on your activity is truly something that will be influencing e-commerce in the years to come.

• Social Media Bots: While being the cause of much controversy recently, the use of bots in social media has made the process of gathering information lightning fast. Social media is the source for a plethora of sensitive information and since inception has been exploited by advertisers and marketing companies to plug their products.

• AI Content Creation: The use of AI for content creation particularly for social media and BuzzFeed, have truly revolutionized advertising and marketing. Several types of content on multiple platforms are being written by AI today. Still, in a primitive stage, this is a technology that will surely pick up in the years to come and who knows maybe be even replace human writers. It is predicted that by 2043 we might have the first number one best-seller authored by AI.

Conclusion

While the current state of AI does leave much to be desired for advertisers, we are not that far from perfecting it for that purpose. There are plenty of prospects to be had on the advertisements themselves as AI and machine learning develops. Machine learning, in particular, could be leveraged to design ads without any human involvement. Currently, technologies such as deep learning are being used in the imaging process in games and movies, which point to good prospects on that front.

There are many more technologies that are still in the prototype stage being tested under various scenarios to eventually integrate into the mainstream processes within advertising. So let us wait and watch as this bit of technology evolves and its story unfolds.  

Getting to Know User Persona for UX Design 

A vital part of User Experience design or pretty much any business-based technology, user persona can be defined in simple terms as a virtual representation of your typical customer. Derived from user research and web analytics a persona serves many ends for UX designers. A persona usually includes qualitative and quantitative information of a user’s personal attributes such as their behavior patterns, likes and dislikes, needs, ambitions and so on. A persona can also be defined as the collective representation of a particular demographic using a typical user which the designer can use to relate. This also provides you with a valuable tool while trying to pitch ideas to stakeholders, designers, and anyone who is involved in your project.

How do you Create One?

There are a multitude of ways for creating a persona. But the most commonly followed ones are those from user experience research methods. Through interviews, casual interaction and such, one can ascertain enough information about the user and build a profile of their general attitude, character, and behavior. While direct research methods are quite commonly used, web analytics also plays a large contributing factor. Social media websites and applications and search engines too are valuable sources of information to create such a profile.

A persona usually consists of the following aspects:

1) Personal Information

Vital information such as name, age, marital status, number of kid etc. are a staple in all personas. Usually accompanied by a photograph, this statistical information helps build a clear demographic profile of the user.

2) Environmental Data

Information pertaining to the users’ social life, work life and the technology they use and so on. This helps build a profile of the surroundings they live around and the kind of company they keep and their work ethics and profile as well.

3) Psychological Data

Information regarding their personal interests such as food, movies etc. along with their attitude, strengths, weaknesses and pain points can all be found in the persona as well. These give the profile a human touch beyond the rather mechanical statistics.

4) Personal Ambitions

One of the more inquisitive features of a persona is the information regarding goals and ambitions. While other information is quite vital, goals and ambitions provide an idea of exactly what the user needs, and how your product could influence if not help achieve it.

5) Scenario

This is the final aspect of a persona and is created based on all the aforementioned aspects. The users are put in a typical real-life scenario and an analysis is made on how they might interact with your product.

What are the different type of user personas

While most user personas are created from actual users, to serve your marketing and designing agendas, some organizations build personas without any actual information. These are called proto-personas. While proto-personas like regular personas are used as a means of actionable insights, their information is usually the result of guesswork and experience using which people create their own image of their typical customer. The reasons for this usually are either time or budget constraints or both.    

So what do you do with user personas?   

The most fundamental purpose of a persona like mentioned above is to serve as a communication tool while pitching ideas with your team and anyone else who is involved in your project. For a designer, a persona serves as a guideline and inspiration to design the product for a particular demographic. All the information pertaining to the users’ emotional and psychological state along with their interests and goals allow the designer to clearly conceptualize what the product should be doing and how it will be serving them. The organization as a whole can also gain valuable insights and stay in tune with their customers’ lives.   

Conclusion

Despite the many research tools available today, user persona serves as a reliable tool for both designers and marketers to understand the product and their users. The plethora of small information available in personas generally helps out more than elaborate details on a particular aspect of the user. Additionally, when you have access to multiple personas, the common points between them serve as a deciding factor.

GoodWorkLabs is a global Google Certified Agency

We are super happy and proud to announce that GoodWorkLabs has once again bagged the coveted title of Google Certified Developer Agency and this is the second time we have been honored with this prestigious title.

In 2017, GoodWorkLabs was one of the few developer agencies across the globe to get selected for this coveted program and in 2018  we continue to remain on the top position by showcasing our expertise in building powerful, beautiful and scalable technology products and mobile applications.

With over 60+ mobile apps listed in the Play Store and consumer applications that have generated millions of downloads, GoodWorkLabs has always been the top choice for both Startups and MNCs. By bagging the Google Certification, we have gained the credibility and validation that we understand Android technologies better than anyone else!

The selection process for certification:

Every year, Google conducts a very stringent evaluation process for agencies to qualify for this coveted certification. Only a hand-full of agencies who have undergone the required training and have demonstrated expertise in building exceptional Android applications manage to get recognized by Google.

This year, GoodWorkLabs was one among the chosen few for the prestigious title of Google Certified Agency. This only goes on to speak volumes about the continuous dedication and innovation that our team puts into designing and developing powerful scalable Android technology and mobile apps.

Here is the list of the top Google Certified Agencies for 2018: https://developers.google.com/agency/directory/

“We are ecstatic to have secured the Google Certification title once again and to be part of an ecosystem that understands and excels at building Android technology. Getting recognized by Google for our expertise at building Android technologies is not an easy task. And the very fact that GoodWorkLabs exceeded the high-quality benchmark set by Google once again speaks volumes about the ability to reimagine design and technology processes to create path-breaking products for the future. At GoodWorkLabs, we break the conventions, we question the status quo, we reimagine everything and bring the future to life. That’s how we make products that stand out and that’s what Google looks out for in its core partners.”

– Vishwas Mudagal, MD GoodWorkLabs

“There is no bigger certification than Google for an agency. It’s akin to the Gold Standard in the industry. Being able to consistently live up to our title of a Certified Agency speaks a lot about the culture at GoodWorkLabs. Years of effort in perfecting UX and technology and a vision to build apps that touch the lives of millions of users have brought us here today.”

– Sonia Sharma, CEO GoodWorkLabs

We at GoodWorkLabs are constantly innovating and building powerful technologies to help businesses excel. Partner with us and we can help you build a platform that will scale up your business model.

You can view our portfolio here