When designers and developers work on projects, they have a lot of questions: What do our users expect to see on this screen? How are users supposed to interact with our product? What should our onboarding feel like? These questions are commonly asked during product development.

Every team wants to reduce the risk of incorrect design decisions and as the complexity of products increases, the digital product design industry puts usability practitioners in high demand. Usability practitioners are people who help product teams make informed decisions. In most organizations, the primary role of usability experts is design validation—making sure that a product is usable.

But many usability practitioners (particularly those who are new to the field) complain that product teams don’t act on their research results. While this could be due to many different issues, most often it is due to poor usability reports; if product teams have trouble understanding findings, or don’t know what to do with the findings, they’ll simply ignore them.

That’s why it so important to make reports actionable. In this article, we’ll share eleven tips that help usability practitioners to reach this goal.

1. Know Key Business Objectives

Most companies have a clear understanding of what their business goals are. The reason companies invest money in usability analysis is that they believe that it will help them reach their goals.

It’s possible to put more weight into usability reports by creating a direct connection between solving usability issues and reaching business goals. Thus, usability experts should take enough time to figure out what the key business objectives are and make sure that the usability insights are aligned with them.

2. Be Specific When Presenting Findings

Imagine when someone opens a usability report and sees a sentence like: “The process of purchasing a product was hard,” without any additional details. With a high probability, they will consider such a finding as too vague. Vague findings don’t give product teams many insights. A lack of detail can, at best, leave teams wondering what the problem was. But at worse it can lead to an unfavorable outcome—when a product team misinterprets findings they can start solving a wrong problem.

That’s why all findings in a report need to be specific. It’s essential to write usability findings in a clear way that helps the team identify the cause of a problem and work toward a solution. Thus, instead of saying “The process of purchasing a product was hard,” provide a clear context for the issue. Say why the process was hard. Were too many steps involved? Were field labels in forms unclear? Make it clear in your report!

3. Never Blame Users

Describing findings in relation to users is a relatively common problem of many studies. “The user had to do this” or “Unfortunately, a user was unable to …” Although such statements sound innocent, they can cause significant damage to your reports. Such language switches the focus from a design and puts the blame on the user. It becomes a user problem, not a product problem. When team members and stakeholders read such findings, they might think “Well, this user wasn’t experienced. Maybe we should conduct another testing session with more experienced testers?” and can dismiss the issue.

One of the purposes of a research study is to generate empathy for the end user. Good UX practitioners always start usability testing session with words “We’re not testing you, we’re testing our product.” The same attitude should be used in usability reports.

4. Don’t Lose Sight of the Wood for the Trees

A famous Charles Eames quote: “The details are not the details. They make the design” is a bad joke for some usability professionals.

All too often they become too focused on the details, so they forget to notice huge issues. For example, when analyzing specific user flow, it’s easy to be focused on providing concrete recommendations on how to improve user experience (e.g. changing the size of the buttons, renaming labels, etc.), but forgetting to notice that the entire flow doesn’t match user expectations or doesn’t meet their needs. If users have trouble at every step, perhaps it’s the overall flow that’s to blame, rather than separate details along the way.

5. Add Redesign Recommendations to Usability Reports

The goal of user research and usability testing is not only in finding issues and defects; it’s also proposing solutions to those problems. Too frequently usability practitioners conduct usability testing, track all issues, but don’t provide recommendations on how to fix the problems. Recommendations play an essential role—they help determine next steps and make the results actionable.

Usability practitioners are the right people for writing recommendations because they have unique expertise in thinking about design solutions. They run lots of usability tests and have first-hand knowledge of what works and what doesn’t work for users.

Writing useful and usable recommendations is a skill that all usability professionals should master. Here are a few things that should be taken into account when writing recommendations:

  • Avoid vague proposals: Vague recommendations such as “Make the error message clearer” doesn’t say enough for people who’ll read reports. It’s essential to make recommendations constructive by providing sufficient details.
  • Avoid biased recommendations: Stay away from assumptions. Reference studies and best practices in your report.
  • Discuss your usability recommendations: Talk with designers, developers, sales and marketing teams to learn what works and what doesn’t work both from a business and technical point of view. The wisdom of the crowd can help you to come up with better solutions.
  • Write recommendations in the readers’ language: The readers of recommendations are not necessary usability specialists. Thus, avoid usability jargon such as “508 compliant” when providing recommendations.
  • Visualize your recommendations. A picture is worth a thousand words and this rule applies to recommendations. Visualizing recommendations doesn’t mean that usability specialists should create high-fidelity interactive prototypes. Creating a quick sketch to illustrate a point is totally acceptable.

6. Involve Teams and Stakeholders in Usability Testing

Work closely with the design and development team, rather than simply delivering a report and walking away from the project. Make team members and stakeholders contribute towards study designs.

Here are a couple of tips to take into account:

  • Ask designers, product managers, marketers about their expectations before conducting testing. By asking a simple question “After we conduct this research, what results would you expect?” you build interest to the upcoming test session.
  • Invite team members and stakeholders to watch usability testing sessions. Nothing beats watching how users interact with a product. Seeing how users struggle when working with a product will make stakeholders understand the value of session.

7. Keep Your Reports Short and Focused

Readers of usability reports are busy people, and it’s relatively easy to overwhelming them by putting too much information in a report. Long lists of recommendations are less likely to be read and acted upon. Remember that with each additional issue mentioned in a report, you decrease a chance that readers will reach the final page of your report. Thus, keep the report short and focused.

8. Rank Findings

No one team has infinite time to solve all possible issues which were found during usability testing. It’s vital to understand that every issue that was discovered through usability testing is not equally important. Usability practitioners should prioritize all findings and put a focus on the most important ones. Ranking findings as low, medium or high severity helps the team understand what critical issues the usability study exposed

But before assigning a priority, it’s essential to work with a product team and stakeholders to build a consensus around what is considered as a high priority usability issue vs. what is recognized as a low priority.

9. Make Your Reports Sound Human

Don’t just list your findings and recommendations; describe them in a format of a story—a story of interaction users with a product. Usability reports are the most impactful when they illustrate problems using video clips of test participants and when they contain participant quotes recorded during testing sessions.

10. Customize Your Report for Different Audiences

It’s worth creating a few versions of usability reports for different audiences. For example, when it comes to writing a report for developers, you can provide more technical details, but for stakeholders, you may only skim an executive summary of prioritized issues.

11. Actively Promote Your Findings

It’s not enough to conduct testing, send a report as an email attachment and believe that team members will read it and act upon it. Usability practitioners should actively market their findings—make sure every person who needs to know, is familiar with your report.

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Working in the design business taught me to pay attention to the organization, the system, the country — the “Big.” At the same time to have an ear for the individual, the person — the “Small,” To work successfully, I have to harmonize what the “Big” wants and what the “Small” wants. I believe, that bringing together the Small helps facilitate and create the Big. And that’s what microinteractions are all about.

Design can solve small, universal and overlooked problems and these really little things have a huge amount of impact. Microinteractions are the small moments in UX that can be boring and easy to forget, or exciting and engaging. They are everywhere: in the gadgets we carry, the appliances in our house, in the apps on our phones and desktops.

Source de l’article sur DZone

Unless you’ve been hiding under a rock, you’ve probably heard of the Cambridge Analytica Scandal and Mark Zuckerberg’s statements about the worldwide changes Facebook is making in response to European Union’s General Data Protection Regulation (GDPR). If your business is not yet in Europe, you may be taken aback by the statement from U.S. Senator Brian Schatz that "all tech platforms ought to adopt the EU approach to (data protection)." This, despite the fact that 45% of U.S. citizens think that there is already "too much" government regulation of business and industry.

So yes, GDPR is a big deal indeed. When it became the law in European Union on May 25, 2018, it improved data protection for EU citizens dealing with companies not only in Europe but all around the world. In other words, whether your company is based in EU or not, as long as you have EU citizens as customers or users and you process their data, GDPR is very much relevant for your business.


Source de l’article sur DZONE

Impact Mapping is a powerful technique that helps teams understand how to link the work that they do with results that their organizations would like them to achieve. We’ve been using this technique for a while in our Scaled Professional Scrum and Professional Scrum Product Owner courses, but I have had a growing discomfort with the approach that I couldn’t well articulate until we were using it recently in an Agile Measurement (EBM) Workshop. There seemed to be something missing in the usual Goal-Actors-Impact-Deliverables chain (see Figure 1).

Figure 1: A "classic" Impact Map Example (for a ride-sharing service)

Source de l’article sur DZone

SAP HANA Blockchain was announced at SAPPHIRE NOW this year, along with the general availability of SAP Cloud Platform Blockchain service. Read the announcement here. The news is also on TechCrunch.

 

You might ask: what’s the difference?

Matt Zenus, Global VP, SAP HANA, summarized it during his SAPPHIRE NOW presentation (watch replay here): “SAP HANA is one of the first databases to natively connect to and consume blockchain information”. The keyword here is ‘consume’. SAP HANA Blockchain is NOT about building a blockchain network, it’s about bringing together business data and blockchain data, so that analysts can easily get a unified view of ALL data—including data in enterprise systems, and multi-party transactions on the blockchain network. Developers can also easily use the SAP HANA Platform to build applications incorporating blockchain data –without dealing with the complexities of blockchain technology.

On the other hand, SAP Cloud Platform Blockchain service is a blockchain-as-a-service offering, enabling customers to use open standards (currently supporting MultiChain and Hyperledger fabric) to create consortium and private blockchain networks.

 

Next question you may have: how does the two work together?

Andreas Schuster, SAP HANA Blockchain Product Manager, summarized it in his technical blog:

“SAP Cloud Platform Blockchain connects to any supported blockchain network via a cloud service on SAP Cloud Platform. SAP HANA Blockchain establishes a link between this cloud service and SAP HANA, which results in a representation of on-chain data in SAP HANA as a set of regular column store tables.”

“The interplay of the different components ensures that transactions submitted to the blockchain are replicated into SAP HANA. This replication works bi-directionally, meaning that transactions inserted in SAP HANA also find their way back to the blockchain, where they can be consumed by other applications.”

 

Why is it important?

Blockchain technology while driving innovation generates new data silos that needs to be unified with existing system of records. Especially at such early stage of adoption, companies can have some transactions executed on blockchain while executing others with different mechanisms.

For reporting and regulatory purposes all the data needs to consolidated, analyzed, and presented. To streamline processes, a single business application will have to interact with multiple transaction environments—including blockchain and traditional enterprise transaction systems.  A unified development and deployment platform is needed to support such hybrid application architecture.

With SAP HANA Blockchain, companies can leverage blockchain innovation for better trust, traceability, and transparency while getting real-time insights from all transactions and streamlining business processes across the entire business landscape.

 

By now, hopefully you are interested in learning a bit more about this new offering. If that’s the case, you can:

 

The post All you need to know about SAP HANA Blockchain (for now) in one place appeared first on SAP HANA.

source https://blogs.saphana.com/2018/06/26/need-know-sap-hana-blockchain-now-one-place/


While you may think sci-fi and imagination when you hear about AI, the future of Artificial Intelligence in dentistry is very, very real.

Some of us remember Will Robinson’s loyal robotic pal in the “Lost in Space” series of the 1960s. Others will trace the sci-fi vision of intelligent autonomous machines to the day Skynet became self-aware and turned on humanity in the “Terminator” films.

The term artificial intelligence (AI) and the official pursuit of intelligent machines in the scientific community actually dates to a 1956 conference of researchers from Dartmouth and IBM.


Source de l’article sur DZONE

I was working on getting the latest DataStax Enterprise 6 up and running via the Docker Image offerings today and I stumbled across a site called hashnode.com. On that site was a harmless little question, but something I realized I ponder a lot, and even find myself in conversation about on a regular basis. The question is posed,

"How many minutes/hours do you really sit to write code at a particular moment?

Source de l’article sur DZone

This year was my tenth SAPPHIRE, and also the tenth time that Hasso started to talked about HANA. It was in the 2005/6 timeline when a senior executive at SAP Labs walked up to a whiteboard and wrote one number: 2010. The room of architects was puzzled – what did 2010 signify? This, he explained, was when Moore’s law predicted that server architecture would be able to run a typical large-scale database in-memory. The Hasso Plattner Institute had already completed initial prototypes of an in-memory database, and they knew the race was on to build a new database architecture: the clock was ticking.

Bill Gates famously said “Most people overestimate what they can do in one year and underestimate what they can do in ten years”. Another thing is for sure: SQL databases are hard to build. The main reason for this is that the ANSI SQL is really complicated. The SQL:1999 standard, for example, is over 1000 pages long. It has been 8 years since we released SAP HANA 1.0 to the market, and we just released HANA 2.0 SP03.

During these 8 years we added an incredible amount of functionality: HA, DR, integrated engines, for search, graph, spatial, text. We integrated the XS and XSA application servers, data quality, and streaming. We then added predictive and machine learning capabilities, and

We are now focused on building the Digital Platform for the Intelligent Enterprise, powered by the SAP HANA Data Management Suite and the Cloud Platform.

Why do I mention all of this? in SAPPHIRE 2018, I now see customers, at scale, doing the most incredible things with SAP HANA. I can’t show you all of them, because there were around 600 sessions at SAPPHIRE focused on HANA, but here are my personal favorites, in no particular order.

Gustave Roussy Cancer Research

This is one of the most incredible stories I have heard: Fabien Calvo, Chief Scientific Officer at French Cancer Research Center Gustave Roussy joined me on stage to discuss what they are doing with SAP HANA. They connect the biological, molecular, genomic, radiation, surgery and pharmaceutical treatment data generated at the center, and with SAP Connected Health platform running on SAP HANA and SAP Medical Research Insights, Gustave Roussy can integrate different data types: electronic medical reports, demographics, biological data; genomic data; text analysis; imaging, including (in the future) radiology and pathology.

Amazing work – no wonder they were a winner of a SAP HANA Innovation Award!

Siemens PLM Software

Siemens realized that they needed a mechanism to allow their organization to build applications, whilst ensuring that data could be trusted. They used a Hybrid BW/4 and SQL data warehouse – using standard SAP Business Content extractors to pull in SAP data, and Smart Data Integration to bring data from other applications like Essbase.

On top of that, they built a Logical Data Warehouse using the Data Warehouse Foundation, which means they keep a single copy of the data, and all the models are built on top of that, connecting the various data sources into one version of the truth.

They then allow their business units to self-serve by building their own SAP Web IDE-based applications within the HANA platform. This is all integrated with Githib, Jira and Bamboo for application development and testing.

Bryan Hunter from Siemens explains how they did this and how it dramatically simplifies application development.

Adidas

adidas CIO Michael Voegele describes how they are using sport to change people’s lives. He talks about increasing the speed of the supply chain and building direct relationship with the consumers with SAP Board Member, Adaire Fox-Martin. This is a very business-focused keynote where Michael describes technology as the enabler, and it is of course powered by SAP HANA.

Suiker Unie – Smart Farming

This customer is not only a SAP Innovation Award Winner, but also Huub Watervaal, Chief Executive Officer at Nextview, who joined me on stage, is a member of our Startup Focus program, which provides access to SAP HANA for free, engagement with our 340k customers, support from our experts, all with no financial commitment.

Huub explained to me all about how Suiker Unie was looking for ways to improve sugar beet production. A small increase in production is a dramatic increase in efficiency and therefore margin. They use the HANA Rules Framework to plant the right beet, IoT sensors to predict crop diseases and reduce pesticides, they have an alerting system and are now looking to satellite imagery to further improve production.

Itron

Itron are a manufacturer of Smart Meters, and they have partnered with us to deliver the Itron Enterprise Edition Meter Data Management (IEE MDM) powered by SAP HANA. Senior Program Director Moustafa Nazif joined me on stage to discuss their solution. Two things about Itron fascinate me in particular.

First, this is a fully functional translytical application (OLTP and OLAP), streaming data from millions of smart meters in real time. There are direct benefits to the solution, in simplicity of application design, and improved analytic capabilities.

Second, I have written about the second derivative effects of technology before, which is the unexpected benefits of technology (Henry Ford could not have predicted the success of Loves Travel Stops, for example, because it is a second derivative effect – highways being the first derivative). This is playing out with Itron – they are just starting to think about the second derivative effects. For example, could you link smart meters to healthcare: we know the customer is elderly, and the lights don’t turn on in the morning, should we call emergency services?

Costco

SVP and Head of Fresh Foods at Costco, Jeff Lyons joins SAP Board Member Jen Morgan to tell the story of how Costco are using SAP technologies to reduce waste and predict demand. How do they do that? Of course, with the advanced analytic capabilities and machine learning algorithms using SAP HANA.

E*TRADE

When E*TRADE sought to re-platform their system for online trading, they looked to a next-generation DBMS like SAP HANA to solve the problem of application complexity and performance. Director of Operations Technology, Adam Yuan, joined me on stage to discuss how there really wasn’t an alternative to using HANA from his perspective: it was the only enterprise system which was able to dramatically simplify the application.

MemorialCare

Dan Exley from MemorialCare joins our GM and Global Head of Platform & Data Management, Irfan Khan, to discuss how MemorialCare used SAP HANA to meet the demands of modern requirements in healthcare, especially in an age where patients expect to have access to data.

Vodafone

Ignacio Garcia, CTO of Vodafone Shared Services, joined me on stage to discuss what the British multinational telecommunications conglomerate is doing with SAP HANA. What is remarkable about this is the sheer breadth and depth of their deployment. They have specific LoB solutions like Fraud Management and Margin Assurance, and they are also in the process of moving their SAP estate onto HANA. Like many SAP application customers, they started with analytics, and are now moving onto the core transactional systems.

Swiss Federal Railways

Last, but not least, SBB produces its own energy to power its trains. To intelligently manage power demand in its railway system, SBB collaborated with SAP Innovative Business Solutions to develop a unique solution, powered by SAP HANA streaming analytics. Monitoring data points in real time throughout the energy network, it identifies peaks when they occur, determines which loads should optimally be switched off, and conveys this information to other systems that automatically turn off heaters in train cars and on railroad switches.

Markus Halder, Head of Power Demand Management Program joined me on stage to discuss how this enables SBB to better utilize its existing power capacity, postponing the need to build new energy infrastructure. Another winner of a SAP Innovation Award.

Final Words

There were 600 sessions at SAPPHIRE that included HANA in the title or abstract, and therefore I have no doubt done an injustice to the other 590. Apologies if I did not list your favorite customer story here, and please include it in the comments!I am overwhelmed by a few things.

First, the sheer breadth, depth, and business value of all of these use cases. They have a human impact, an ecological impact, a financial impact, and in most cases those things are not achieved to the detriment of another. At SAP, our purpose is to help the world run better and improve people’s lives, and often these sorts of purpose statements are just marketing. These stories tell you otherwise.

Second, most of the stories I featured above are use cases which span beyond SAP applications. As HANA matures, we are seeing that customers not only deploy HANA for their S/4HANA, C/4HANA and BW4/HANA, not only LoB applications that run on HANA like SuccessFactors, but we have many customers like Vodafone using HANA for many other use cases, or like Suiker Unie, customers who do not run SAP applications.

Third, I have always maintained that you get the power of HANA when you combine multiple engines: transaction and analytic, spatial and graph, text and search, predictive and machine learning. This is precisely what our customers are doing, and this is the technology reason why they choose HANA for these specific use cases.

Ten years later, I truly feel like we are starting to see HANA’s potential. My prediction for next year? Customers deploying HANA as a holistic Data Management Suite with the Data Hub, EIM and Big Data Services, especially taking into account HANA’s Machine Learning and AI capabilities.

The post 10 SAP HANA Customer Use Cases from SAPPHIRE NOW appeared first on SAP HANA.

source https://blogs.saphana.com/2018/06/25/10-sap-hana-customer-use-cases-from-sapphire-now/

Creating a chatbot that can understand and use a language other than English can be an ambitious task. Chatbots are still in their early days and even though there are many NLP libraries available, most of them support only the English language. From stopwords and POS taggers to pretrained word2vec models, it can be time-consuming to work on an NLP problem in a different language.

We at SmartCat tried a bit of a different approach in creating a bot that uses the Serbian language. Using a large dataset of unlabeled sentences written in Serbian and performing ML methods, we were able to create a chatbot that resulted in a very decent performance. It was able to return an expected response 9/10 times. Interested in how we did it? Keep on reading.


Source de l’article sur DZONE

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