#ux designs

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From Like Buttons to Message Bubbles: The UX Designs You Can’t Use

Designing a new user interface in 2019 is harder than you think

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Junior UX designer jobs

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Misconceptions about UX Design - YUJ Designs

It is an exciting time for user experience design in India and worldwide. Yet, even today, we believe that UX design is quite underrated. UX mature companies are still a rarity. And sadly many of them become aware of the power UX design only when they witness and suffer the after-effects of bad UX or the lack of it.

UX design is about meeting business goals by fulfilling user needs. As success of a business is majorly dependant on the scale of customer satisfaction and experience, it is evident that you cannot turn away from UX design.

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What do designers want?

Read about the insights from ux experts who create great products focusing on ux design, ux strategy thereby adding value to businesses.

Design is fast becoming the force to reckon with. And is finally getting the appreciation and attention it deserves. Getting aligned to the roles and responsibilities of a designer as seen from an overview, from a business (UX Design Studio) perspective and as a crucial part in the bigger scheme of things is important.

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The designer’s guide to AI-driven UX

This article was originally shared on - https://www.yujdesigns.com/the-designers-guide-to-ai-driven-ux/ Artificial Intelligence (AI) In brief, AI is the development of computers capable of tasks that typically require human intelligence. For example, speech recognition, problem-solving, learning and planning. There is a noticeable mind-shift. These days, laundry and grocery lists are being ordered by talking to a speaker from home. AI is moving fast. Although this experience doesn’t need to be fearsome. Let’s understand few of the original goals of AI –

Simulating higher function of the brain

Programming a computer to use general language

A way to determine and measure complexity of a problem

Self-improvement

Emerging dominant functions Applications of AI

Design moves around people and is here to make our lives easier. AI has a similar function at the core of creating better experiences for users, with the help of better technology.

Machine learning: Using example data or experience to refine how computers make predictions or perform a task.

Deep learning: A machine learning technique in which data is filtered through self-adjusting networks of math loosely inspired by neurons in the brain.

Supervised learning: Showing software labeled example data, such as photographs, to teach a computer what to do.

Unsupervised learning: Learning without annotated examples, just from experience of data or the world-trivial for humans but not generally practical for machines. Yet.

Reinforcement learning: Software that experiments with different actions to figure out how to maximize a virtual reward, such as scoring points in a game.

Artificial general intelligence: As yet nonexistent software that displays a humanlike ability to adapt to different environments and tasks, and transfer knowledge between them.

Evolution of UX/ customer experience Contribution to the human experience in future

Customer experience has evolved through the years, it has gone beyond the digital screens. However, by using the right AI tools, one can gain more control over every aspect of the experience. A connected digital and physical experience. Implementing the right AI solution provides the means of driving visitors to make decisions and take actions faster, better, eliminating your most time-consuming tasks. And this, of course, enhances the all-important factor in customer experience: the human touch.

The process of designing meaningful AI-driven products or services comes with many challenges. As AI and tech continue to disrupt our lives in many ways, insights in how we might humanize certain experiences become increasingly important.

Future of Design = AI + UX Better technology can provide, better customer experience. In the coming future, UX design studios should consider shifting their outlook towards the technology as a partner rather than a revolution and being swayed by it. Develop a harmonious approach towards designing a harmonious human–machine interaction.

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Calculating RoI for UX | YUJ Designs

This article was originally shared on - https://www.yujdesigns.com/calculating-roi-for-ux/ Calculating the Return on any investment can be very tricky, if not planned for before the investment is made. User Experience, however, because of its love for metrics comes packaged with measurable data. Here are some ways to ascertain the appropriate Return on Investment (RoI) for UX. First up, define the Key Performance Indicators (KPIs) Depending on the areas of the business or product that UX is critical to, you need to draw up the KPIs and the data needed to calculate the RoI. Is UX going to save the business money, is it going to help make more money? How will UX achieve this? By persuading people to buy more? By helping them decide or buy faster? By reducing errors in process? Once you have the KPIs detailed and defined, capturing data against each and evaluating the outcomes becomes the basis of RoI calculation. Open a discussion for KPIs, rather than define in isolation While businesses and UX firms might more or less agree on what KPIs to consider, they might differ greatly on which are relatively more important than the others. The process of prioritization of KPIs will help you assign weights to the actual data when measured. Determine the costs of bad features and errors in experience It is fair to assume that for any given product, there is no perfect design. Rather it is always a work in perfection. But without user research, perfection is further away. Often resulting incomplete experiences of users and negative repeat usage. Ascertain the loss of revenues from such scenarios. Add the cost of getting the issues fixed to this. Now, consider in comparison the cost of conducting user research. How does this compare to cost of rework and correction, plus the quantum of opportunity and image loss. Measuring the loss of brand image is again a decision of what to measure. Decreased hits on the website? Lower satisfaction survey scores? Drop-in sales? The key is to look at which metrics are most meaningful to the business and prioritizing them. Rationalize the metrics Everyone would love to define their KPIs and metrics as ideal at 100%. It is important to rationalize expectations taking into account market realities and begin with reasonable numbers. Are the metrics really related to UX? More often than not, the metrics businesses really care about might not be directly related to UX work. And consequently, the business may not care about the specific metrics that UX returns. It is important for UX firms to get buy-in from their clients about the metrics that UX can own up to directly, in the short and long-term, and the ones can never be fully owned by UX. Calculating RoI from UX is key to marketing UX Design to organizations. It answers the most important questions any C-level executive will think of first. It needs to be calculated on a case-to-case basis, with KPIs and metrics that are specific to the business in question. What is most important to the organization and to the person you are interacting with? When it comes to the internal processes of UX firms, another kind of RoI comes into play – Return on Idea! But that is another topic for another day.