"ux" entries

Four short links: 4 March 2015

Four short links: 4 March 2015

Go Microservices, Watch Experience, Multithreading Bugs, and Spooks Ahoy

  1. Microservices in Go — tale of rewriting a Ruby monolith as Go microservices. Interesting, though being delivered at Gophercon India suggests the ending is probably not unhappy.
  2. Watch & Wear (John Cross Neumann) — Android watch as predictor of the value and experience of an Apple Watch. I believe this is the true sweet spot for meaningful wearable experiences. Information that matters to you in the moment, but requires no intervention. Wear actually does this extremely well through Google Now. Traffic, Time to Home, Reminders, Friend’s Birthdays, and Travel Information all work beautifully. […] After some real experience with Wear, I think what is more important is to consider what Apple Watch is missing: Google Services. Google Services are a big component of what can make wearing a tiny screen on your wrist meaningful and personal. I wouldn’t be surprised after the initial wave of apps through the app store if Google Now ends up being the killer app for Apple Watch.
  3. Solving 11 Likely Problems In Your Multithreaded Code (Joe Duffy) — a good breakdown of concurrency problems, including lower-level ones than high-level languages expose. But beware. If you try this [accessing variables with synchronisation] on a misaligned memory location, or a location that isn’t naturally sized, you can encounter a read or write tearing. Tearing occurs because reading or writing such locations actually involves multiple physical memory operations. Concurrent updates can happen in between these, potentially causing the resultant value to be some blend of the before and after values.
  4. Obama Sharply Criticizes China’s Plans for New Technology Rules (Reuters) — In an interview with Reuters, Obama said he was concerned about Beijing’s plans for a far-reaching counterterrorism law that would require technology firms to hand over encryption keys, the passcodes that help protect data, and install security “backdoors” in their systems to give Chinese authorities surveillance access. Goose sauce is NOT gander sauce! NOT! Mmm, delicious spook sauce.
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7 user research myths and mistakes

Finding the holes in qualitative and quantitative testing.

testing

Attend our live training event, “UX Design for Growth — Improving User Conversion,” on September 15, 2015, starting at 10 a.m. PT. Author Laura Klein will teach you to design for product growth.

I can’t tell you how often I hear things from engineers like, “Oh, we don’t have to do user testing. We’ve got metrics.” Of course, you can almost forgive them when the designers are busy saying things like, “Why would we A/B test this new design? We know it’s better!”

In the debate over whether to use qualitative or quantitative research methods, there is plenty of wrong to go around. So, let’s look at some of the myths surrounding qualitative and quantitative research, and the most common mistakes people make when trying to use them.
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Four short links: 3 March 2015

Four short links: 3 March 2015

Wearable Warning, Time Series Data, App Cards, and Secure Comms

  1. You Guys Realize the Apple Watch is Going to Flop, Right? — leaving aside the “guys” assumption of its readers, you can take this either as a list of the challenges Apple will inevitably overcome or bypass when they release their watch, or (as intended) a list of the many reasons that it’s too damn soon for watches to be useful. The Apple Watch is Jonathan Ive’s new Newton. It’s a potentially promising form that’s being built about 10 years before Apple has the technology or infrastructure to pull it off in a meaningful way. As a result, the novel interactions that could have made the Apple watch a must-have device aren’t in the company’s launch product, nor are they on the immediate horizon. And all Apple can sell the public on is a few tweets and emails on their wrists—an attempt at a fashion statement that needs to be charged once or more a day.
  2. InfluxDB, Now With Tags and More UnicornsThe combination of these new features [tagging, and the use of tags in queries] makes InfluxDB not just a time series database, but also a database for time series discovery. It’s our solution for making the problem of dealing with hundreds of thousands or millions of time series tractable.
  3. The End of Apps as We Know ThemIt may be very likely that the primary interface for interacting with apps will not be the app itself. The app is primarily a publishing tool. The number one way people use your app is through this notification layer, or aggregated card stream. Not by opening the app itself. To which one grumpy O’Reilly editor replied, “cards are the new walled garden.”
  4. Signal 2.0Signal uses your existing phone number and address book. There are no separate logins, usernames, passwords, or PINs to manage or lose. We cannot hear your conversations or see your messages, and no one else can either. Everything in Signal is always end-to-end encrypted, and painstakingly engineered in order to keep your communication safe.
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Four short links: 2 March 2015

Four short links: 2 March 2015

Onboarding UX, Productivity Vision, Bad ML, and Lifelong Learning

  1. User Onboarding Teardowns — the UX of new users. (via Andy Baio)
  2. Microsoft’s Productivity Vision — always-on thinged-up Internet everywhere, with predictions and magic by the dozen.
  3. Machine Learning Done WrongWhen dealing with small amounts of data, it’s reasonable to try as many algorithms as possible and to pick the best one since the cost of experimentation is low. But as we hit “big data,” it pays off to analyze the data upfront and then design the modeling pipeline (pre-processing, modeling, optimization algorithm, evaluation, productionization) accordingly.
  4. Ten Simple Rules for Lifelong Learning According to Richard Hamming (PLoScompBio) — Exponential growth of the amount of knowledge is a central feature of the modern era. As Hamming points out, since the time of Isaac Newton (1642/3-1726/7), the total amount of knowledge (including but not limited to technical fields) has doubled about every 17 years. At the same time, the half-life of technical knowledge has been estimated to be about 15 years. If the total amount of knowledge available today is x, then in 15 years the total amount of knowledge can be expected to be nearly 2x, while the amount of knowledge that has become obsolete will be about 0.5x. This means that the total amount of knowledge thought to be valid has increased from x to nearly 1.5x. Taken together, this means that if your daughter or son was born when you were 34 years old, the amount of knowledge she or he will be faced with on entering university at age 17 will be more than twice the amount you faced when you started college.
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Four short links: 29 January 2015

Four short links: 29 January 2015

Security Videos, Network Simulation, UX Book, and Profit in Perspective

  1. ShmooCon 2015 Videos — videos to security talks from ShmooCon 2015.
  2. Comcast (Github) — Comcast is a tool designed to simulate common network problems like latency, bandwidth restrictions, and dropped/reordered/corrupted packets. On BSD-derived systems such as OSX, we use tools like ipfw and pfctl to inject failure. On Linux, we use iptables and tc. Comcast is merely a thin wrapper around these controls.
  3. The UX ReaderThis ebook is a collection of the most popular articles from our [MailChimp] UX Newsletter, along with some exclusive content.
  4. Bad AssumptionsApple lost more money to currency fluctuations than Google makes in a quarter.
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Four short links: 22 January 2015

Four short links: 22 January 2015

MSVR, The Facebook, Social Robots, and Testing Microservices

  1. Microsoft HoloLens Goggles (Wired) — a media release about the next thing from the person behind Kinect. I’m still trying to figure out (as are investors, I’m sure) where in the hype curve this Googles/AR/etc. amalgam lives. Is it only a tech proof-of-concept? Is it a games device like Kinect? Is it good and cheap enough for industrial apps? Or is this the long-awaited climb out of irrelevance for Virtual Reality?
  2. The Facebook (YouTube) — brilliant fake 1995 ad for The Facebook. Excuse me, I’m off to cleanse.
  3. Natural Language in Social Robotics (Robohub) — Natural language interfaces are turning into a de-facto interface convention. Just like the GUI overlapped and largely replaced the command line, NLP is now being used by robots, the Internet of things, wearables, and especially conversational systems like Apple’s Siri, Google’s Now, Microsoft’s Cortana, Nuance’s Nina, Amazon’s Echo and others. These interfaces are designed to simplify, speed up, and improve task completion. Natural language interaction with robots, if anything, is an interface. It’s a form of UX that requires design.
  4. Microservices and Testing (Martin Fowler) — testing across component boundaries, in the face of failing data stores and HTTP timeouts. The first discussion of testing in a web-scale world that I’ve seen from The Mainstream.
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DevOps keeps it cool with ICE

How inclusivity, complexity, and empathy are shaping DevOps.

ice

Over the next five years, three ideas will be central to DevOps: the need for the DevOps community to become more Inclusive; the realization that increasing Complexity of systems is the underlying reason for DevOps; and the critical role of Empathy in the growth and adoption of DevOps. Channeling John Willis, I’ll coin my own DevOps acronym, ICE, which is shorthand for Inclusivity, Complexity, Empathy.

Inclusivity

There is a major expansion of the DevOps community underway, and it’s taking DevOps far beyond its roots in agile systems administration at “unicorn” companies (e.g., Etsy or Netflix). For instance, a significant majority (80-90%) of participants at the Ghent conference were first-time attendees, and this was also the case for many of the devopsdays in 2014 (NYC, Chicago, Minneapolis, Pittsburgh, and others). Moreover, although areas outside development and operations were still underrepresented, there was a more even split between developers and operations folks than at previous events. It’s also not an accident that the DevOps Enterprise conference took place the week prior to the fifth anniversary devopsdays and included talks about the DevOps journeys at large “traditional” organizations like Blackboard, Disney, GE, Macy’s, Nordstrom, Raytheon, Target, UK.gov, US DHS, and many others.

The DevOps community has always been open and inclusive, and that’s one of the reasons why in the five years since the word “DevOps” was coined, no single, widely accepted definition or practice has emerged. The lack of definition is more of a blessing than a curse, as DevOps continues to be an open conversation about ways of making our organizations better. Within the DevOps community, old-time practitioners and “newbies” have much to learn from each other.

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Four short links: 14 January 2015

Four short links: 14 January 2015

IoT and Govt, Exactly Once, Random Database Subset, and UX Checking

  1. Internet of Things: Blackett Review — the British Government’s review of Internet of Things opportunities around government. Government and others can use expert commissioning to encourage participants in demonstrator programmes to develop standards that facilitate interoperable and secure systems. Government as a large purchaser of IoT systems is going to have a big impact if it buys wisely. (via Matt Webb)
  2. Exactly Once Semantics with Kafka — designing for failure means it’s easier to ensure that things get done than it is to ensure that things get done exactly once.
  3. rdbms-subsetter — open source tool to generate a random sample of rows from a relational database that preserves referential integrity – so long as constraints are defined, all parent rows will exist for child rows. (via 18F)
  4. UXcheck — a browser extension to help you do a quick UX check against Nielsen’s 10 principles.
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Experience design is shaping our future

Design is transforming the way things are to the way they ought to be.

O'Reilly's design exploration is targeting experience design, the Internet of Things and design, and the interplay between design and businessDesign aligns humans and technology, it aligns business and engineering, it aligns digital and physical, and it aligns business needs and user needs. Here at O’Reilly, we’re fascinated by the design space, and we’re launching several initiatives focused on the experience design community.

Design is both the disruptor and being disrupted. It’s disrupting markets, organizations, and relationships, and forcing us to rethink how we live. The discipline of design is also experiencing tremendous growth and change, largely influenced by economic and technology factors. No longer an afterthought, design is now an essential part of a product, and it may even be the most important part of a product’s value. Read more…

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Four short links: 28 October 2014

Four short links: 28 October 2014

Continuous Delivery, UX Resources, Large-Screen Cellphone Design, and Scalable Sockets

  1. Build Quality Inan e-book collection of Continuous Delivery and DevOps experience reports from the wild. Work in progress, and a collection of accumulated experience in the new software engineering practices can’t be a bad thing.
  2. UX Directory — collection of awesome UX resources.
  3. Designing for Large-Screen Cellphones (Luke Wroblewski) — 
In his analysis of 1,333 observations of smartphones in use, Steven Hoober found about 75% of people rely on their thumb and 49% rely on a one-handed grip to get things done on their phones. On large screens (over four inches) those kinds of behaviors can stretch people’s thumbs well past their comfort zone as they try to reach controls positioned at the top of their device. Design advice to create interactions that don’t strain tendons or gray matter.
  4. fastsocket (Github) — a highly scalable socket and its underlying networking implementation of Linux kernel. With the straight linear scalability, Fastsocket can provide extremely good performance in multicore machines.
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