If you’re not uncomfortable showing your work, that might be a bad sign

Photo by Vinicius Amano

Sharing work is a natural part of the design process.

If you have been in this industry for some time, you know the drill: you pull up your design files, share your screen with the room/with your remote peers, set up what you are going to walk them through in that session, and then start explaining the thinking behind your design decisions.

At some point, you get so used to following that protocol, you get a little numb. You don’t feel that adrenaline rush anymore, that anxiety of hearing what your peers have to say about the work you’re presenting.

But if you’re not uncomfortable presenting your work, that can be a bad sign.

One of these might be happening:

  • You are not pushing the limits. The design is too conventional, and you are only using familiar UI elements. Nothing in the experience feels fresh or has that never-seen-before feeling to it. If you don’t get any visceral reactions (big or small) from your peers, that might be a sign the work could use some extra design love.
  • The work is not future-friendly enough. When you present work (especially in larger projects), you are usually presenting something that will take several months to be implemented and launched. If you are designing for now (your company’s current challenges) without an eye in the future, there’s a chance the work will get outdated before it even sees the light of day.
  • The design is not challenging expectations. When your peers join a design review meeting, they have certain expectations of what they are going to see. If you are only giving them what you know they want, you are just executing ideas that were created by other people. Be smart about which expectations you want to break, though — on the other hand, innovating just for innovation sake can be harmful to the user experience and for the business goals. Make sure to pick the right battles.
  • The work is too polished, everything is too final. If you are not feeling uncomfortable when sharing work with your peers, it might be because you have overprepared for the meeting: your prototypes are insanely polished, the copy is final, every aspect has been thought through. Which is great — don’t get me wrong. But that probably took you more time than if you were to share a slightly more in-progress version of the same flows. For internal reviews, where you are expecting feedback, it’s important to leave enough room for interpretation and space for your peers to connect the missing dots.
  • The work is not emotional or relatable. Part of sharing design work is sharing a story behind it. What is the concept behind your designs, and where did you get inspiration from — nature, an art exhibition you’ve seen, a film you’ve watched? Making yourself vulnerable and revealing the emotions that led to the work you’re sharing (not just rational arguments and facts), can make your peers connect to it more deeply.

Whenever I’m feeling too confident or too assured of what my team and I are sharing, I try to add something to the work that gives me a reason to become uncomfortable again: a slide, a new screen, an alternative version to one of the flows that pushes conventions a bit more.

Anything but becoming numb to the thing I enjoy doing the most.

This article is part of Journey: lessons from the amazing journey of being a designer.


If you’re not uncomfortable showing your work, that might be a bad sign was originally published in UX Collective on Medium, where people are continuing the conversation by highlighting and responding to this story.

from UX Collective – Medium https://uxdesign.cc/if-youre-not-uncomfortable-showing-your-work-that-might-be-a-bad-sign-275269d00c5a?source=rss—-138adf9c44c—4

How AI Is Transforming The Future Of Healthcare Industry

The power of Artificial Intelligence is echoing across many industries. But its impact on healthcare is truly life-changing. With its ability to mimic human cognitive functions, AI is bringing a paradigm shift in the healthcare industry.

This transformative technology is revolutionizing the health sectors in many ways. From drug development to clinical research, AI has helped improve patient outcomes at reduced costs. Besides, the introduction of this technology in healthcare promises easy access, affordability, and effectiveness.

For the same reasons, there has been a huge investment by public and private sectors in the healthcare industry. According to a study, the investment will reach $6.6 billion by 2021. Accenture’s reports are even more astonishing. According to their analysis, AI applications can create annual savings of $150 billion by 2026 for US healthcare.

Big Data & AI in Healthcare

Recent advancements in AI have fueled discussion of whether AI doctors will replace human doctors in the future. While the idea of replacing human doctors may sound absurd, but AI can help human physicians to make better decisions. In certain areas of healthcare like radiology, it can replace human judgment entirely.

Big Data has made successful applications of Artificial Intelligence in healthcare. There has been a rapid development in big data analytic methods, and so much healthcare data is available. Using this data, a lot of clinically relevant information hidden in a large amount of data can be unlocked by powerful AI techniques. This will help in making better clinical decisions.

Motivation

The ability of AI to use sophisticated algorithms and learn features from a massive amount of data is truly commendable. With the help of these algorithms, insights for assisting clinical practice can be obtained. AI can be equipped with self-correcting and learning abilities which help the system get better accuracy based on the feedback it receives.

Therefore, it gets better with time. These AI systems can help physicians in many ways. Since they are armed with a lot of information, they can assist in clinical decision making. Also, diagnostic errors and therapeutic errors can be minimized.

Besides, AI systems have access to large volumes of data; they can make predictions about potential health risks by extracting useful information.

But do we really need it?

AI is big and powerful. We cannot question its effectiveness. It is going to have a huge impact on the healthcare industry. Facts listed below tell us why:

  • Hospital error is one of the leading causes of patients’ death. Such errors can be addressed and prevented by Artificial Intelligence.
  • Nearly 440,000 Americans die each year due to medical errors which can be easily prevented by AI.
  • In the healthcare industry, nearly 86% of the mistakes are preventable.
  • In the next 5 years, AI health market will grow by more than 10 percent.

Applications Of Artificial Intelligence

Artificial is changing the healthcare industry for better. From early detection to improved diagnosis, AI is positively contributing to the betterment of humanity. In some areas, it is already being used, and there are areas where we can see the introduction of AI in the coming time. In specialty care including pharma, radiology, and pathology, AI is delivering high value.

Chronic health conditions are expected to benefit the most from AI systems. Cancer, diabetes, heart diseases are big opportunities for healthcare trends such as pop culture and precision medicines.

Here are a few ways in which AI is (or will) changing the healthcare industry:

Personal Health Virtual Assistant

In the present era, most people have access to a smartphone. They are likely to have their virtual assistant on their mobile devices. Advanced AI algorithms power assistants like Cortana, Google Assistant, Siri. When combined with healthcare apps, they will provide massive value to the users.

Healthcare apps will act as a personal health assistant. They will also be used to provide medication alerts, and human-like interactions will also be possible. AI as a personal assistant will also help in assisting the patients when the clinical personnel is not available.

AI Improves The Quality Of Sleep

It has been proved that night of good night sleep is very important for better physical and mental health. People who get sound sleep at night are happier, healthier, and more productive during the day.

There are a lot of effective sleep gadgets in the market that help you sleep better at nights. From AI-powered smart mattresses to baby monitors, sleep apps, AI technology is continually working to improve the overall quality of sleep.

A healthcare company named AXA PPP created two lullabies; one by AI and other by humans. With deep learning, the AI system could get a feel for rhythm and harmony resulting in a new composition. This composition was then converted into a song with the help of a human, and it can help you sleep better.

Medical Imaging Analysis

Another important field in healthcare which is using AI is radiology. AI systems can help with diagnostic processes. It can examine medical images like X-rays, CT scans, MRIs, etc. and can provide feedback on what it thinks a human eye can miss.

Thus, medical imaging analysis becomes much more accurate and effective. It reduces the chances of errors.

IBM Watson is a live example. In the field of oncology, it can provide clinicians with evidence-based treatment options for the cancer patients based on the training provided by Memorial Sloan Kettering (MSK) physicians.

Precision Medicine

Genomic is the branch of molecular biology which deals with the structure, evolution, function, and mapping of genomes. It looks for the links to disease from the information obtained from the DNA.

When combined with AI, it is possible to spot cancer and some vascular diseases at a very early stage. Moreover, it can predict the health issues the patients might face based on their genes.

Healthcare Bots

AI technology is also gaining traction in the customer service domain. The world is likely to see healthcare bots very soon. Patients will be able to interact with these AI bots on the website through a chat window or via telephone.

Healthcare bots will be used to schedule appointments with the patient’s healthcare provider. These bots can help patients with their medication as well. They can also improve customer service by offering 24 x 7 support.

These are some of the great things that AI can do. But it is not limited to that. As innovation pushes the boundaries of healthcare, better solutions to save time, money, and efficiency will be possible.


How AI Is Transforming The Future Of Healthcare Industry was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.

from Hacker Noon https://hackernoon.com/how-ai-is-transforming-the-future-of-healthcare-industry-f6020cc18323?source=rss—-3a8144eabfe3—4

Why Everyone Working On A Product Needs To Be Aware Of The Voice Of The Customer

Nichole Elizabeth DeMeré B2B SaaS Consultant (right) and Poornima Vijayashanker, Founder of Femgineer (left)

Interview with Nichole Elizabeth DeMeré B2B SaaS Consultant

I am the self-appointed family travel agent. Though if you ask my partner and the rest of my family members they’d agree that I am the best person for the job.

Why?

Because over the years I have become adept at making sure I don’t overlook the details when planning a vacation — you know where the devil hides! And who wants the devil to turn up on their vacation?!

Unless of course, it’s a blue devil 😉 #marchmadness #goduke

I take the time to read through ALL the descriptions and fine print, talk to customer support agents to find out if there are any additional fees, and make sure that family members who have accessibility needs like my 10-month-old baby and 82-year-old grandma will be taken care of.

Once I’ve done all this planning, I know I have truly earned my vacation 😉

Despite all my effort, there have been times when things didn’t turn out as planned. Like the time I booked a home in India only to find out that the address was incorrect. The host mixed the street name with the city name. We would have had to drive 3 hours after 24+ hours of travel, but I called customer support and they resolved the issue for us quickly.

It was a positive customer support experience: responsive, seamless, and efficient. As a result, I continued using that service to book my travel, knowing that if something screwy happened I could count on them next time.

But there are other companies whose customer support agents place me on hold — for more than a few minutes. When the agent returns, they tell me that I’ve reached the wrong department. Then they transfer me to the “correct” department. Once the transfer is complete, I have to repeat what I told the first support person to the second support person, all the while hoping that they can help me resolve the issue. They can’t. When I look at how much time I’ve spent, and the exorbitant fee or unreconcilable charge, I am frustrated and vow to never do business with them again!

I know I’m not alone.

No one likes being at the receiving end of a bad customer support experience. It’s easy to place blame on customer support, but it’s not their fault because the problem originated somewhere else — when the product or service’s feature was being created.

Someone designed the experience in a way that wasn’t particularly customer friendly, and then it became a challenge to change the experience because of the silos that formed in the company between teams: sales, marketing, product, engineering, and customer support.

At the start of a company, teams are usually flat and highly collaborative, but over time, silos start to form, slowing things down, making it hard to innovate, and distancing teams from their customers.

Is it even possible to slow or stop them from forming? And to enable everyone across teams a chance to interact with customers?

Well in today’s episode of Build we’re going to answer these questions and more, We’ll show how silos form of overtime, some best practices for keeping silos at bay, and what to do once they have formed to break them down.

To help us out I’ve invited Nichole Elizabeth DeMeré who is a B2B SaaS Consultant with 20+ years of experience in online marketing, and a champion for customer success.

As you tune into today’s episode you’ll learn the following from Nichole Elizabeth:

  • Why everyone on a team including software developers and engineers should have a chance to interact with customers, not just people who are on the customer support, sales, and marketing teams
  • How to empower teams to break down silos, and a framework for evaluating experiments and features that factor in constraints
  • When to automate and when to interact with customers
  • How silos form over time, how to avoid them, and what to do once they’ve formed
  • Why when building B2B products it’s important to focus on making your customers successful not happy
  • Why you need to rethink off-boarding customers and make it easy for them to leave

“When everyone on the team is aware of the voice of the customer, everyone is super excited about what is going on (with the product).

If you really want to stand out right now it isn’t pricing, it’s team alignment and customer experience.” — Nichole Elizabeth DeMeré

Prefer to listen to the episode?

Listen on iTunes here or listen on Stitcher here.

In the episode, Nichole Elizabeth mentions a number of resources, here are links to them:

Build is brought to you by Femgineer an education company dedicated to helping techies build companies, products, and level-up in their careers


Why Everyone Working On A Product Needs To Be Aware Of The Voice Of The Customer was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.

from Hacker Noon https://hackernoon.com/why-everyone-working-on-a-product-needs-to-be-aware-of-the-voice-of-the-customer-9bb0379a8341?source=rss—-3a8144eabfe3—4