rowid,title,contents,year,author,author_slug,published,url,topic
290,Creating a Weekly Research Cadence,"Working on a product team, it’s easy to get hyper-focused on building features and lose sight of your users and their daily challenges. User research can be time-consuming to set up, so it often becomes ad-hoc and irregular, only performed in response to a particular question or concern. But without frequent touch points and opportunities for discovery, your product will stagnate and become less and less relevant. Setting up an efficient cadence of weekly research conversations will re-focus your team on user problems and provide a steady stream of insights for product development.
As my team transitioned into a Lean process earlier this year, we needed a way to get more feedback from users in a short amount of time. Our users are internet marketers—always busy and often difficult to reach. Scheduling research took days of emailing back and forth to find mutually agreeable times, and juggling one-off conversations made it difficult to connect with more than one or two people per week. The slow pace of research was allowing additional risk to creep into our product development.
I wanted to find a way for our team to test ideas and validate assumptions sooner and more often—but without increasing the administrative burden of scheduling. The solution: creating a regular cadence of research and testing that required a minimum of effort to coordinate.
Setting up a weekly user research cadence accelerated our learning and built momentum behind strategic experiments. By dedicating time every week to talk to a few users, we made ongoing research a painless part of every weekly sprint. But increasing the frequency of our research had other benefits as well. With only five working days between sessions, a weekly cadence forced us to keep our work small and iterative. Committing to testing something every week meant showing work earlier and more often than we might have preferred—pushing us out of your comfort zone into a process of more rapid experimentation.
Best of all, frequent conversations with users helped us become more customer-focused. After just a few weeks in a consistent research cadence, I noticed user feedback weaving itself through our planning and strategy sessions. Comments like “Remember what Jenna said last week, about not being able to customize her lists?” would pop up as frequent reference points to guide our decisions. As discussions become less about subjective opinions and more about responding to user needs, we saw immediate improvement in the quality of our solutions.
Establishing an efficient recruitment process
The key to creating a regular cadence of ongoing user research is an efficient recruitment and scheduling process—along with a commitment to prioritize the time needed for research conversations. This is an invaluable tool for product teams (whether or not they follow a Lean process), but could easily be adapted for content strategy teams, agency teams, a UX team of one, or any other project that would benefit from short, frequent conversations with users.
The process I use requires a few hours of setup time at the beginning, but pays off in better learning and better releases over the long run. Almost any team could use this as a starting point and adapt it to their own needs.
Pick a dedicated time each week for research
In order to make research a priority, we started by choosing a time each week when everyone on the product team was available. Between stand-ups, grooming sessions, and roadmap reviews, it wasn’t easy to do! Nevertheless, it’s important to include as many people as possible in conversations with your users. Getting a second-hand summary of research results doesn’t have the same impact as hearing someone describe their frustrations and concerns first-hand. The more people in the room to hear those concerns, the more likely they are to become priorities for your team.
I blocked off 2 hours for research conversations every Thursday afternoon. We make this time sacred, and never schedule other meetings or work across those hours.
Divide your time into several research slots
After my weekly cadence was set, I divided the time into four 20-minute time slots. Twenty minutes is long enough for us to ask several open-ended questions or get feedback on a prototype, without being a burden on our users’ busy schedules. Depending on your work, you may need schedule longer sessions—but beware the urge to create blocks that last an hour or more. A weekly research cadence is designed to facilitate rapid, ongoing feedback and testing; it should force you to talk to users often and to keep your work small and iterative. Projects that require longer, more in-depth testing will probably need a dedicated research project of their own.
I used the scheduling software Calendly to create interview appointments on a calendar that I can share with users, and customized the confirmation and reminder emails with information about how to access our video conferencing software. (Most of our research is done remotely, but this could be set up with details for in-person meetings as well.) Automating these emails and reminders took a little bit of time to set up, but was worth it for how much faster it made the process overall.
Invite users to sign up for a time that’s convenient for them
With a calendar set up and follow-up emails automated, it becomes incredibly easy to schedule research conversations. Each week, I send a short email out to a small group of users inviting them to participate, explaining that this is a chance to provide feedback that will improve our product or occasionally promoting the opportunity to get a sneak peek at new features we’re working on. The email includes a link to the Calendly appointments, allowing users who are interested to opt in to a time that fits their schedule.
Setting up appointments the first go around involved a bit of educated guessing. How many invitations would it take to fill all four of my weekly slots? How far in advance did I need to recruit users? But after a few weeks of trial and error, I found that sending 12-16 invitations usually allows me to fill all four interview slots. Our users often have meetings pop up at short notice, so we get the best results when I send the recruiting email on Tuesday, two days before my research block.
It may take a bit of experimentation to fine tune your process, but it’s worth the effort to get it right. (The worst thing that’s happened since I began recruiting this way was receiving emails from users complaining that there were no open slots available!) I can now fill most of an afternoon with back-to-back user research sessions just by sending just one or two emails each week, increasing our research pace while leaving plenty time to focus on discovery and design.
Getting the most out of your research sessions
As you get comfortable with the rhythm of talking to users each week, you’ll find more and more ways to get value out of your conversations. At first, you may prefer to just show work in progress—such as mockups or a simple prototype—and ask open-ended questions to measure user reaction. When you begin new projects, you may want to use this time to research behavior on existing features—either watching participants as they use part of your product or asking them to give an account of a recent experience in your app. You may even want to run more abstracted Lean experiments, if that’s the best way to validate the assumptions your team is working from.
Whatever you do, plan some time a day or two later to come back together and review what you’ve learned each week. Synthesizing research outcomes as a group will help keep your team in alignment and allow each person to highlight what they took away from each conversation.
Over time, you may find that the pace of weekly user research becomes more exhausting than energizing, especially if the responsibility for scheduling and planning falls on just one person. Don’t allow yourself to get burned out; a healthy research cadence should also include time to rest and reflect if the pace becomes too rapid to sustain. Take breaks as needed, then pick up the pace again as soon as you’re ready.",2016,Wren Lanier,wrenlanier,2016-12-02T00:00:00+00:00,https://24ways.org/2016/creating-a-weekly-research-cadence/,ux
298,First Steps in VR,"The web is all around us. As web folk, it is our responsibility to consider the impact our work can have. Part of this includes thinking about the future; the web changes lives and if we are building the web then we are the ones making decisions that affect people in every corner of the world. I find myself often torn between wanting to make the right decisions, and just wanting to have fun. To fiddle and play. We all know how important it is to sometimes just try ideas, whether they will amount to much or not.
I think of these two mindsets as production and prototyping, though of course there are lots of overlap and phases in between. I mention this because virtual reality is currently seen as a toy for rich people, and in some ways at the moment it is. But with WebVR we are able to create interesting experiences with a relatively low entry point. I want us to have open minds, play around with things, and then see how we can use the tools we have at our disposal to make things that will help people.
Every year we see articles saying it will be the “year of virtual reality”, that was especially prevalent this year. 2016 has been a year of progress, VR isn’t quite mainstream but with efforts like Playstation VR and Google Cardboard, we are definitely seeing much more of it. This year also saw the consumer editions of the Oculus Rift and HTC Vive. So it does seem to be a good time for an overview of how to get involved with creating virtual reality on the web.
WebVR is an API for connecting to devices and retrieving continuous data such as the position and orientation. Unlike the Web Audio API and some other APIs, WebVR does not feel like a framework. You use it however you want, taking the data and using it as you wish. To make it easier, there are plenty of resources such as Three.js, A-Frame and ReactVR that help to make the heavy lifting a bit easier.
Getting Started with A-Frame
I like taking the opportunity to learn new things whenever I can. So while planning this article I thought that instead of trying to teach WebGL or even Three.js in a way that is approachable for all, I would create my first project using A-Frame and write about that. This is not a tutorial as such, I just want to show how to go about getting involved with VR. The beauty of A-Frame is that it is very similar to web components, you can just write HTML to build worlds that will automatically work on all the different types of devices. It uses WebGL and WebVR but in such a way that it quite drastically reduces the learning curve. That’s not to say you can’t build complex things, you have complete access to write JavaScript and shaders.
I’m lazy. Whenever I learn a new language or framework I have found that the best way, personally, for me to learn is to have a project and to copy the starting code from someone else. A project lets you have a good idea of what you want to produce and it means you can ignore a lot of the irrelevant documentation, focussing purely on what you need. That reduces the stress of figuring things out. Copying code also makes it easier, because you know your boilerplate code is working. There’s nothing worse than getting stuck before anything actually works the first time. So I tinker. I take code and I modify it, I play around. It’s fun.
For this project I wanted to keep things as simple as possible, so I can easily explain it without the classic “draw a circle then draw an owl”. I wrote a list of requirements, with some stretch goals that you can give a try yourself if you fancy:
Must work on Google Cardboard at a minimum, because of price
Therefore, it must not rely on having a controller
Auto-moving around a maze would be a good example
Move in direction you look
Stretch goal: Scoring, time until you hit a wall or get stuck in maze
Stretch goal: Levels, so the map doesn’t need to be random
Stretch goal: Snow!
I decided to base this project on an example, Platforms, by Don McCurdy who wrote the really useful aframe-extras. Platforms has random 3D blocks that you can jump onto, going up into the sky. So I took his code and reduced it so that the blocks are randomly spread on the ground.
24 ways
As you can see, this is very readable. Especially if you ignore the JavaScript that is used to create the maze. A-Frame (with A-Frame Extras) gives you a lot of power with relatively little to learn. We start with an which is the container for everything that is going to show up on the screen. There are a few which can be compared to
as they are essentially non-semantic containers, able to be used for any purpose. The attributes are used to define functionality, for example the camera attribute sets the entity to function as a camera and kinematic-body makes it collide instead of go through objects. Attributes are also used to set position and sizes, often using JavaScript to dynamically define them.
Styling
Now we’ve got the HTML written, we need to style it. To do this we add A-Frame compatible attributes such as color and material. I recommend playing around, you can get some quite impressive effects fairly easily. Originally I wanted a light snowy maze but it ended up being dark and foggy, as I really liked the feeling it gave.
Note, you will probably need a server running for images to work. You can do this by running python -m ""SimpleHTTPServer"" in the folder where the code is, then go to localhost:8000 in browser.
Textures
Unless you are going for a cartoony style, you probably want to find some textures. I found some on textures.com, one image worked well for the walls and the other for the floor.
The is used to define (as well as preload and cache) all assets, including images, audio and video. As you can see, images in the Asset Management System just use normal img tags. The ids are important here as we can use them later for using the textures.
To apply a texture to an object, you create a material. For a simple material where it just shows the image, you set the src to the id selector of the image.
Replace:
With:
This will automatically make the image repeat over the entire floor, in my case filling it with bricks. The walls are pretty much identical, with the slight exception that it is set in JavaScript as they are dynamically defined.
box.setAttribute('material', 'src: #texture-wall');
That’s it for the textures, for now at least. These will not look completely realistic, as the light will bump off the rectangular wall rather than texture itself. This can be improved by using maps, textures that are used to modify the shape and physical properties of the object.
Lighting
The next part of styling is lighting. By using fog and different types of lighting, we are able to add atmospheric details to the game to make it feel that bit more realistic and polished.
There are lots of types of light in A-Frame (most coming from Three.js). You can add a light either by using the entity or by attaching a light attribute to any other entity. If there are no lights defined then A-Frame adds some by default so that the scene is always lit.
To start with I wanted to light up the scene with a general light, type=""ambient"", so that the whole game felt slightly dark. I chose to set the light to a reddish colour #92455E. After playing around with intensity I chose 0.4, it added enough light to get the feeling I wanted without it being overly red. I also added a blue skybox (), as it looked a bit odd with a white sky.
I felt that the maze looked good with a red tinge but it was a bit flat, everything was the same colour and it was a bit dark. So I added a light within the #player entity, this could have been as an attribute but I set it as a child a-light instead. By using type=""point"" with a high intensity and low distance, it showed close walls as being lighter. It also added a sort-of object to the player, it isn’t a walking human or anything but by moving light where the player is it feels a bit more physical.
By this point it was starting to look decent, so I wanted to add the fog to really give some personality and depth to the maze. To do this I added the fog attribute to the with type=exponential so it looks thicker the further away it is and a mid intensity, so you feel a bit lost but can still see.
I was very happy with this result. It took a lot of playing around with colours and values, which is fun in itself. I highly recommend you take the code (or write your own) and play around with the numbers.
Movement
One of the reasons I decided to use aframe-extras is that it has a few different camera controls built in. As you saw earlier, I am using the universal-controls which gives WASD (keyboard) controls by default. I wanted to make it automatically move in the direction that you’re looking, but I wasn’t quite sure how without rewriting the controls. So I asked Don McCurdy for advice and he very nicely gave me a small snippet of code to get it working.
AFRAME.registerComponent('automove-controls', {
init: function () {
this.speed = 0.1;
this.isMoving = true;
this.velocityDelta = new THREE.Vector3();
},
isVelocityActive: function () {
return this.isMoving;
},
getVelocityDelta: function () {
this.velocityDelta.z = this.isMoving ? -speed : 0;
return this.velocityDelta.clone();
}
});
Replace:
universal-controls
With:
universal-controls=""movementControls: automove, gamepad, keyboard""
This works by creating a component automove-controls that adds auto-move to the player without overriding movement completely. It doesn’t even touch direction, it just checks if isMoving is true then moves the player by the set speed. Components can be creating for adding all kinds of functionality with relative ease. It makes it very powerful for people of all difficulty levels.
Building a map
Currently the maze is created randomly, which is great but means there will often be walls that overlap or the player gets trapped with nowhere to go. So to solve this, I decided to use a map editor (Tiled) so that we can create the mazes ourselves. This is a great start towards one of the stretch goals, levels.
I made the maze in Tiled by finding a random tileset online (we don’t need to actually show the images), I used one tile for the wall and another for the player. Then I exported as a JavaScript file and modified it in my text editor to get rid of everything I didn’t need. I made it so 0 is the path, 1 is the wall and 2 is the player. I then added the script to the HTML, as a separate file so it’s easy to update in the future.
var map =
{
""data"":[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
""height"":10,
""width"":10
}
As you can see, this gives a simple 10x10 maze with some dead ends. The player starts in the bottom right corner (my choice, could be anywhere). I rewrote the random platforms code (from Don’s example) to instead loop over the map data and place walls where it is 1 and position the player where data is 2. I set the position so that the origin of the map would be 0,1.5,0. The y axis is in this case the height (ground being 0), but if a wall is positioned at 0 by its centre then some of it is underground. So the y needed to be the height divided by 2.
document.querySelector('a-scene').addEventListener('render-target-loaded', function () {
var WALL_SIZE = 5,
WALL_HEIGHT = 3;
var el = document.querySelector('#walls');
var wall;
for (var x = 0; x < map.height; x++) {
for (var y = 0; y < map.width; y++) {
var i = y*map.width + x;
var position = (x-map.width/2)*WALL_SIZE + ' ' + 1.5 + ' ' + (y-map.height/2)*WALL_SIZE;
if (map.data[i] === 1) {
// Create wall
wall = document.createElement('a-box');
el.appendChild(wall);
wall.setAttribute('color', '#fff');
wall.setAttribute('material', 'src: #texture-wall;');
wall.setAttribute('width', WALL_SIZE);
wall.setAttribute('height', WALL_HEIGHT);
wall.setAttribute('depth', WALL_SIZE);
wall.setAttribute('position', position);
wall.setAttribute('static-body', ');
}
if (map.data[i] === 2) {
// Set player position
document.querySelector('#player').setAttribute('position', position);
}
}
}
console.info('Walls added.');
});
With this added, it makes it nice and easy to change around the map as well as to add new features. Perhaps you want monsters or objects. Just set the number in the map data and add an if statement to the loop. In the future you could add layers, so multiple things can be in the same position. Or perhaps even make the maze go up the y axis too, with ramps or staircases. There’s a lot you can do with relative ease. As you can see, A-Frame really does reduce the learning curve of 3D and VR on the web.
It’s Not All Fun And Games
A lot of examples of virtual reality are games, including this one. So it is understandable to think that VR is for gaming, but actually that’s just a tiny subset. There are all sorts of applications for VR, including story telling, data visualisation and even meditation.
There have been a number of cases where it has been shown virtual reality can help as a tool for therapies:
Oxford study finds virtual reality can help treat severe paranoia
Virtual Reality Therapy for Phobias at the Duke Faculty Practice
Bravemind: Virtual Reality Exposure Therapy at the University of Southern California
These are just a few examples of where virtual reality is being used around the world to help people feel better and get through some very tough times. There have also been examples of it being used for simulating war zones or medical situations, both as a teaching and journalism tool.
Wrapping Up
Ten years ago, on this very site, Cameron Moll wrote an article explaining the mobile web. He explained how mobile phones with data plans were becoming increasingly common, that WAP 2.0 included the XHTML Mobile Profile meaning it would be familiar with web folk. “The mobile web is rapidly becoming an XHTML environment, and thus you and I can apply our existing “desktop web” skills to understand how to develop content for it.”
We can look at that and laugh a little, we have come a very long way in the last decade. Even people in developing countries with very little money have mobile phones with access to a web that is far more capable than the “desktop web” Cameron was referring to.
So while I am not saying virtual reality is going to change the world or replace our phones, who knows! We can use our skills as web folk to dabble, we don’t need to learn any new languages. If on the 2026 edition of 24 ways, somebody references this article and looks at how far we have come… well, let’s hope we have used our skills well and made the world just that little bit better. And if VR is a fad? Well it’s fun… have a go anyway.",2016,Shane Hudson,shanehudson,2016-12-11T00:00:00+00:00,https://24ways.org/2016/first-steps-in-vr/,code
304,Five Lessons From My First 18 Months as a Dev,"I recently moved from Sydney to London to start a dream job with Twitter as a software engineer. A software engineer! Who would have thought.
Having started my career as a journalist, the title ‘engineer’ is very strange to me. The notion of writing in first person is also very strange. Journalists are taught to be objective, invisible, to keep yourself out of the story. And here I am writing about myself on a public platform. Cringe.
Since I started learning to code I’ve often felt compelled to write about my experience. I want to share my excitement and struggles with the world! But as a junior I’ve been held back by thoughts like ‘whatever you have to say won’t be technical enough’, ‘any time spent writing a blog would be better spent writing code’, ‘blogging is narcissistic’, etc.
Well, I’ve been told that your thirties are the years where you stop caring so much about what other people think. And I’m almost 30. So here goes!
These are five key lessons from my first year and a half in tech:
Deployments should delight, not dread
Lesson #1: Making your deployment process as simple as possible is worth the investment.
In my first dev job, I dreaded deployments. We would deploy every Sunday night at 8pm. Preparation would begin the Friday before. A nominated deployment manager would spend half a day tagging master, generating scripts, writing documentation and raising JIRAs. The only fun part was choosing a train gif to post in HipChat: ‘All aboard! The deployment train leaves in 3, 2, 1…”
When Sunday night came around, at least one person from every squad would need to be online to conduct smoke tests. Most times, the deployments would succeed. Other times they would fail. Regardless, deployments ate into people’s weekend time — and they were intense. Devs would rush to have their code approved before the Friday cutoff. Deployment managers who were new to the process would fear making a mistake.
The team knew deployments were a problem. They were constantly striving to improve them. And what I’ve learnt from Twitter is that when they do, their lives will be bliss.
TweetDeck’s deployment process fills me with joy and delight. It’s quick, easy and stress free. In fact, it’s so easy I deployed code on my first day in the job! Anyone can deploy, at any time of day, with a single command. Rollbacks are just as simple. There’s no rush to make the deployment train. No manual preparation. No fuss. Value — whether in the form of big new features, simple UI improvements or even production bug fixes — can be shipped in an instant. The team assures me the process wasn’t always like this. They invested lots of time in making their deployments better. And it’s clearly paid off.
Code reviews need love, time and acceptance
Lesson #2: Code reviews are a three-way gift. Every time I review someone else’s code, I help them, the team and myself.
Code reviews were another pain point in my previous job. And to be honest, I was part of the problem. I would raise code reviews that were far too big. They would take days, sometimes weeks, to get merged. One of my reviews had 96 comments! I would rarely review other people’s code because I felt too junior, like my review didn’t carry any weight.
The review process itself was also tiring, and was often raised in retrospectives as being slow. In order for code to be merged it needed to have ticks of approval from two developers and a third tick from a peer tester. It was the responsibility of the author to assign the reviewers and tester. It was felt that if it was left to team members to assign themselves to reviews, the “someone else will do it” mentality would kick in, and nothing would get done.
At TweetDeck, no-one is specifically assigned to reviews. Instead, when a review is raised, the entire team is notified. Without fail, someone will jump on it. Reviews are seen as blocking. They’re seen to be equally, if not more important, than your own work. I haven’t seen a review sit for longer than a few hours without comments.
We also don’t work on branches. We push single commits for review, which are then merged to master. This forces the team to work in small, incremental changes. If a review is too big, or if it’s going to take up more than an hour of someone’s time, it will be sent back.
What I’ve learnt so far at Twitter is that code reviews must be small. They must take priority. And they must be a team effort. Being a new starter is no “get out of jail free card”. In fact, it’s even more of a reason to be reviewing code. Reviews are a great way to learn, get across the product and see different programming styles. If you’re like me, and find code reviews daunting, ask to pair with a senior until you feel more confident. I recently paired with my mentor at Twitter and found it really helpful.
Get friendly with feature flagging
Lesson #3: Feature flagging gives you complete control over how you build and release a project.
Say you’re implementing a new feature. It’s going to take a few weeks to complete. You’ll complete the feature in small, incremental changes. At what point do these changes get merged to master? At what point do they get deployed? Do you start at the back end and finish with the UI, so the user won’t see the changes until they’re ready? With feature flagging — it doesn’t matter. In fact, with feature flagging, by the time you are ready to release your feature, it’s already deployed, sitting happily in master with the rest of your codebase.
A feature flag is a boolean value that gets wrapped around the code relating to the thing you’re working on. The code will only be executed if the value is true.
if (TD.decider.get(‘new_feature’)) {
//code for new feature goes here
}
In my first dev job, I deployed a navigation link to the feature I’d been working on, making it visible in the product, even though the feature wasn’t ready. “Why didn’t you use a feature flag?” a senior dev asked me. An honest response would have been: “Because they’re confusing to implement and I don’t understand the benefits of using them.” The fix had to wait until the next deployment.
The best thing about feature flagging at TweetDeck is that there is no need to deploy to turn on or off a feature. We set the status of the feature via an interface called Deckcider, and the code makes regular API requests to get the status.
At TweetDeck we are also able to roll our features out progressively. The first rollout might be to a staging environment. Then to employees only. Then to 10 per cent of users, 20 per cent, 30 per cent, and so on. A gradual rollout allows you to monitor for bugs and unexpected behaviour, before releasing the feature to the entire user base.
Sometimes a piece of work requires changes to existing business logic. So the code might look more like this:
if (TD.decider.get(‘change_to_existing_feature’)) {
//new logic goes here
} else {
//old logic goes here
}
This seems messy, right? Riddling your code with if else statements to determine which path of logic should be executed, or which version of the UI should be displayed. But at Twitter, this is embraced. You can always clean up the code once a feature is turned on. This isn’t essential, though. At least not in the early days. When a cheeky bug is discovered, having the flag in place allows the feature to be very quickly turned off again.
Let data and experimentation drive development
Lesson #4: Use data to determine the direction of your product and measure its success.
The first company I worked for placed a huge amount of emphasis on data-driven decision making. If we had an idea, or if we wanted to make a change, we were encouraged to “bring data” to show why it was necessary. “Without data, you’re just another person with an opinion,” the chief data scientist would say. This attitude helped to ensure we were building the right things for our customers. Instead of just plucking a new feature out of thin air, it was chosen based on data that reflected its need.
But how do you design that feature? How do you know that the design you choose will have the desired impact? That’s where experiments come into play.
At TweetDeck we make UI changes that we hope will delight our users. But the assumptions we make about our users are often wrong. Our front-end team recently sat in a room and tried to guess which UIs from A/B tests had produced better results. Half the room guessed incorrectly every time.
We can’t assume a change we want to make will have the impact we expect. So we run an experiment. Here’s how it works. Users are placed into buckets. One bucket of users will have access to the new feature, the other won’t. We hypothesise that the bucket exposed to the new feature will have better results. The beauty of running an experiment is that we’ll know for sure. Instead of blindly releasing the feature to all users without knowing its impact, once the experiment has run its course, we’ll have the data to make decisions accordingly.
Hire the developer, not the degree
Lesson #5: Testing candidates on real world problems will allow applicants from all backgrounds to shine.
Surely, a company like Twitter would give their applicants insanely difficult code tests, and the toughest technical questions, that only the cleverest CS graduates could pass, I told myself when applying for the job. Lucky for me, this wasn’t the case. The process was insanely difficult—don’t get me wrong—but the team at TweetDeck gave me real world problems to solve.
The first code test involved bug fixes, performance and testing. The second involved DOM traversal and manipulation. Instead of being put on the spot in a room with a whiteboard and pen I was given a task, access to the internet, and time to work on it. Similarly, in my technical interviews, I was asked to pair program on real world problems that I was likely to face on the job.
In one of my phone screenings I was told Twitter wanted to increase diversity in its teams. Not just gender diversity, but also diversity of experience and background. Six months later, with a bunch of new hires, team lead Tom Ashworth says TweetDeck has the most diverse team it’s ever had. “We designed an interview process that gave us a way to simulate the actual job,” he said. “It’s not about testing whether you learnt an algorithm in school.”
Is this lowering the bar? No. The bar is whether a candidate has the ability to solve problems they are likely to face on the job. I recently spoke to a longstanding Atlassian engineer who said they hadn’t seen an algorithm in their seven years at the company.
These days, only about 50 per cent of developers have computer science degrees. The majority of developers are self taught, learn on the job or via online courses. If you want to increase diversity in your engineering team, ensure your interview process isn’t excluding these people.",2016,Amy Simmons,amysimmons,2016-12-20T00:00:00+00:00,https://24ways.org/2016/my-first-18-months-as-a-dev/,process
289,Front-End Developers Are Information Architects Too,"The theme of this year’s World IA Day was “Information Everywhere, Architects Everywhere”. This article isn’t about what you may consider an information architect to be: someone in the user-experience field, who maybe studied library science, and who talks about taxonomies. This is about a realisation I had a couple of years ago when I started to run an increasing amount of usability-testing sessions with people who have disabilities: that the structure, labelling, and connections that can be made in front-end code is information architecture. People’s ability to be successful online is unequivocally connected to the quality of the code that is written.
Places made of information
In information architecture we talk about creating places made of information. These places are made of ones and zeros, but we talk about them as physical structures. We talk about going onto a social media platform, posting in blogs, getting locked out of an environment, and building applications. In 2002, Andrew Hinton stated:
People live and work in these structures, just as they live and work in their homes, offices, factories and malls. These places are not virtual: they are as real as our own minds.
25 Theses
We’re creating structures which people rely on for significant parts of their lives, so it’s critical that we carry out our work responsibly. This means we must use our construction materials correctly. Luckily, our most important material, HTML, has a well-documented specification which tells us how to build robust and accessible places. What is most important, I believe, is to understand the semantics of HTML.
Semantics
The word “semantic” has its origin in Greek words meaning “significant”, “signify”, and “sign”. In the physical world, a structure can have semantic qualities that tell us something about it. For example, the stunning Westminster Abbey inspires awe and signifies much about the intent and purpose of the structure. The building’s size; the quality of the stone work; the massive, detailed stained glass: these are all signs that this is a building meant for something the creators deemed important. Alternatively consider a set of large, clean, well-positioned, well-lit doors on the ground floor of an office block: they don’t need an “entrance” sign to communicate their use and to stop people trying to use a nearby fire exit to get into the building. The design of the doors signify their usage. Sometimes a more literal and less awe-inspiring approach to communicating a building’s purpose happens, but the affect is similar: the building is signifying something about its purpose.
HTML has over 115 elements, many of which have semantics to signify structure and affordance to people, browsers, and assistive technology. The HTML 5.1 specification mentions semantics, stating:
Elements, attributes, and attribute values in HTML are defined … to have certain meanings (semantics). For example, the element represents an ordered list, and the lang attribute represents the language of the content.
HTML 5.1 Semantics, structure, and APIs of HTML documents
HTML’s baked-in semantics means that developers can architect their code to signify structure, create relationships between elements, and label content so people can understand what they’re interacting with. Structuring and labelling information to make it available, usable, and understandable to people is what an information architect does. It’s also what a front-end developer does, whether they realise it or not.
A brief introduction to information architecture
We’re going to start by looking at what an information architect is. There are many definitions, and I’m going to quote Richard Saul Wurman, who is widely regarded as the father of information architecture. In 1976 he said an information architect is:
the individual who organizes the patterns inherent in data, making the complex clear; a person who creates the structure or map of information which allows others to find their personal paths to knowledge; the emerging 21st century professional occupation addressing the needs of the age focused upon clarity, human understanding, and the science of the organization of information.
Of Patterns And Structures
To me, this clearly defines any developer who creates code that a browser, or other user agent (for example, a screen reader), uses to create a structured, navigable place for people.
Just as there are many definitions of what an information architect is, there are for information architecture itself. I’m going to use the definition from the fourth edition of Information Architecture For The World Wide Web, in which the authors define it as:
The structural design of shared information environments.
The synthesis of organization, labeling, search, and navigation systems within digital, physical, and cross-channel ecosystems.
The art and science of shaping information products and experiences to support usability, findability, and understanding.
Information Architecture For The World Wide Web, 4th Edition
To me, this describes front-end development. Done properly, there is an art to creating robust, accessible, usable, and findable spaces that delight all our users. For example, at 2015’s State Of The Browser conference, Edd Sowden talked about the accessibility of
s. He discovered that by simply not using the semantically-correct
element to mark up
headings, in some situations browsers will decide that a
is being used for layout and essentially make it invisible to assistive technology. Another example of how coding practices can affect the usability and findability of content is shown by Léonie Watson in her How ARIA landmark roles help screen reader users video. By using ARIA landmark roles, people who use screen readers are quickly able to identify and jump to common parts of a web page.
Our definitions of information architects and information architecture mention patterns, rules, organisation, labelling, structure, and relationships. There are numerous different models for how these elements get boiled down to their fundamentals. In his Understanding Context book, Andrew Hinton calls them Labels, Relationships, and Rules; Jorge Arango calls them Links, Nodes, And Order; and Dan Klyn uses Ontology, Taxonomy, and Choreography, which is the one we’re going to use. Dan defines these terms as:
Ontology
The definition and articulation of the rules and patterns that govern the meaning of what we intend to communicate.
What we mean when we say what we say.
Taxonomy
The arrangements of the parts. Developing systems and structures for what everything’s called, where everything’s sorted, and the relationships between labels and categories
Choreography
Rules for interaction among the parts. The structures it creates foster specific types of movement and interaction; anticipating the way users and information want to flow and making affordance for change over time.
We now have definitions of an information architect, information architecture, and a model of the elements of information architecture. But is writing HTML really creating information or is it just wrangling data and metadata? When does data turn into information? In his book Managing For The Future Peter Drucker states:
… data is not information. Information is data endowed with relevance and purpose.
Managing For The Future
If we use the correct semantic element to mark up content then we’re developing with purpose and creating relevance. For example, if we follow the advice of the HTML 5.1 specification and mark up headings using heading rank instead of the outline algorithm, we’re creating a structure where the depth of one heading is relevant to the previous one. Architected correctly, an
element should be relevant to its parent, which should be the
. By following the HTML specification we can create a structured, searchable, labeled document that will hopefully be relevant to what our users need to be successful. If you’ve never used a screen reader, you might be wondering how the headings on a page are searchable. Screen readers give users the ability to interact with headings in a couple of ways:
by creating a list of headings so users can quickly scan the page for information
by using a keyboard command to cycle through one heading at a time
If we had a document for Christmas Day TV we might structure it something like this:
Christmas Day TV schedule
BBC1
Morning
Evening
BBC2
Morning
Evening
ITV
Morning
Evening
Channel 4
Morning
Evening
If I use VoiceOver to generate a list of headings, I get this:
Once I have that list I can use keyboard commands to filter the list based on the heading level. For example, I can press 2 to hear just the
s:
If we hadn’t used headings, of if we’d nested them incorrectly, our users would be frustrated.
Putting this together
Let’s put this together with an example of a button that, when pressed, toggles the appearance of a panel of links. There are numerous ways we could create a button on a web page, but the best way is to just use a