SEO isn’t hard
you need good content and good link.
That’s kind of all.
But when you cannot do any of these or you want to accelerate the process, might be worth thinking how you’re gonna optimise that process.
Finding good content on this is pretty hard.
This video however is really a neat finding.
So enjoy !
Given the over enthusiasm for programming
This is a pretty refreshing take.
Just try these steps
Practice makes perfect.
Or at least, it does help improve your skills.
It does make you a better designer.
A better problem solver.
A better engineer.
A better maker.
Just better.
Here are some resources to up your game.
Fancy designing a sortable list view for a habit-tracking app to help film snobs?
Or how about designin dashboard for a smart home watering system, to help social media managers?
or, a a settings view for a professional networking site designed for restaurant patrons?
Really, there are no limits to imagination and this very entertaining game interfaced design for a design learning website for designers – is real neat.
This is a challenge to take to improve your design skills – everyday with one new thing.
For instance on day 01: Design thinking – where you need to use design thinking to create something new : a new way to get to school, a time travel machine a personal jetpack that fits in a backpack. or on day 05: empathy maps, where you make an empathy map for a coffee shop.
If you like to take things day by day, here is the daily UX challenge – where get a daily email for 20 days – to improve your UX skills.
Jon Crabb is a UX designer from London and he’s put together a great list of of UX problems to think about – which I think does largely broaden the scope of UX thinking.
Problems range from :
Find your way around a new city.
Fill small amounts of “bored” time in your day with something interesting.
Split a check at a restaurant.
Split a check at a restaurant between vegetarians and meat-eaters.
Split a check at a restaurant between drinkers and nondrinkers.
to recommend a funnel management flow to Google or design a new app for Go Pro.
Content is critical.
Here are three talks where you can think about to think about the thinking that goes into writing how you think.
(I might have overdone that one…)
Anyway… here it is.
Appear in the early design process.
Not always full fledged process is deployed obviously – depend on the focus of the project, on its complexity and on its budget.
User research main focus is on:
To deliver a service that meets your users’ needs, you have to understand:
Mike Kuniaysky defines it as : “the process of understanding the impact of design on an audience.”
Usability answers the question, “Can the user accomplish their goal? – Joyce Lee, Human Factors Design at Apple
If a picture is worth 1000 words, a prototype is worth 1000 meetings. – Tom & David Kelley, Creative Brothers at IDEO
Most business models have focused on self interest instead of user experience. – Tim Cook, CEO at Apple
Find what works, not what’s popular, UK Gov Guidelines
That’s a lot of methods. Here is a diagram to know which one should be used where :
Attitude vs Behaviour is “what people say” versus “what people do”
Card sorting help understand how users think about information, which then can help building a more adapeted information architecture for the product, application, or website.
Surveys may help collect data which can help discover issues to address.
Focus groups are not very much useful for usability purposes, but is very suited for branding conversation or product concept in a group setting.
Like all research process – data is can be about quantities and can be about qualities:
Quantitative research : “how many people clicked here” or “what percentage of users are able to find the call to action?” or what is happening on a site or in an app.
Qualitative research : Stuff like : “why didn’t people see the call to action” and “what else did people notice on the page?” – Goal is to understand users motivations – why people do the things they do, and often takes the form of interviews or conversations.
When to Use Which User-Experience Research Methods
Complete Beginner’s Guide to UX Research
The User Experience Team of One (Leah Buley)
The Essentials of Interaction Design (Alan Cooper, Robert Reimann, and Dave Cronin)
more people should be talking about this
Apple is working to prevent people from repairing the iphone they bought.
This is a 15 min video on a legal case where Apple lost – and is very well explained.
kudos to @RossmannGroup for it
For the record, #apple is not the only one doing that
Car companies are too.
Check this one :
Sony as well who sued George Hotz for playing around with his Playstation:
In a world where electronics are gonna be more and more fundamentals elements of our day to day life – it makes sense we pay attention that the stuff we buy belong to us (AKA the people who buy it) and not to the manufacturer.
Oh, and here is a funny addition to – the following video was released in a very similar timespan as the first one – where Apple refused to fix one of ther product, even when the customer was ready to pay for the repair.
Which I think is pretty telling…
if you want to know more about the right to repair, check these below.
“Right to Repair” Is About a Whole Lot More Than iPhones
https://www.eff.org/issues/right-to-repair
So, here are some of my notes on designing for trust.
It is more and more important to look at design beyong its usability function and start to think about the emotional state of the user.
(Funny enough I just found a video from a designer talking about that 8 years ago… so yeah… it is really time then…)
As I was working on design principles for a project the other day – I started to dig into this concept of trust and design.
And I was pleasantly surprised (well, not that surprised… but still) to realise quite a lot of litterature out there with some interesting insights.
First – this 10 min on designing for trust with quite some interesting points on trust and design.
Trust – requires to give up things
Trust is made out of micro-moments of trust
The world doesnt work without trust
Environnement define the level of expected trust
Also some interesting articles on trust and design here :
Hospitality requieres mutual trust
Designing for friends – or as a friend.
Make the users looks like friendly people.
Add a smile.
General UI/UX elements to think about
Last stuff I found here from NNGroup (a known UX design group)
with the concept of pyramid of trust – which is a nice way to model the different stages of trust.
Other stuff to review :
It’s time to design for trust! MobX Conference and UX Alive! Berlin
Gotta build on of these for a complex and content rich elearning site.
So did some research.
Here are some of my findings.
Here is a good start :
How to Build a Recommender System by Martin Kihn
The Components of a Recommender System on a site with quite some articles on the topic – like this one on Impression Discounting
Or this one :
Beginners Guide to learn about Content Based Recommender Engines which is from 2015 but still cover the general basis.
Then you have some actual building – for example here in R : A recommendation system in R, applied with respect to the movielens database by Nelson Manohar who seems to specialised in machine learning based on his online profile.
Then we have an old plugin writen for WooCommerce Perso Recommendation Engine Plugin for Woocommerce which is nice to see how it is integrated in WordPress.
Then on youtube, we have quite some tutorials providing some interesting insights with some practical applications – usually movie recommendation engines.
Here we have a good intro from Standford university:
Overview of Recommender Systems | Stanford University
Then finally we can do one :
A really short tutorial (40 min total) to make a python movies recommendation system :
Recommendation Systems – Learn Python for Data Science #3
And the same guy but different stack :
Build a Movie Recommender – Machine Learning for Hackers #4
Then a different approach, with more algorithm into it :
Coding Challenge #70.1: Nearest Neighbors Recommendation Engine – Part 1
Coding Challenge #70.2: Nearest Neighbors Recommendation Engine – Part 2
Coding Challenge #70.3: Nearest Neighbors Recommendation Engine – Part 3
Then a long one of an hour+ integrating with tensor flow (the google library for deep learning) : Recommendation Systems / Engines with TensorFlow – Google Cloud Platform User Group Singapore
Probably more to come, but that’s a good start for now.
Do not hesitate to suggest stuff – either in the comment or on social somewhere
