Speaker: Aarron WalterBig data is helping many industries discover new insights creating smarter companies, and now it’s empowering UX practitioners to see patterns in mountains of data. Customer feedback, trends in support issues, analytics, usability test notes, customer interview transcripts, tweets, blog comments and more can be connected and searched to find serious flaws in designs or inform the next design.Research has always been a core part of the UX workflow, but after a study ends, the wisdom gained often slips into a quiet corner of a computer to gather dust and never be seen again. By centralizing all research data and streaming new sources into the pool, designers can learn more about their audience and make smarter decisions than ever before. Informed design is successful design, and big data is making UX smarter than ever before.

Big Data UX

Enjoy the complete keynotes from the UXLx: User Experience Lisbon conferences.

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Educational Technology

Speaker: Giles Colborne
In this talk we’ll look what algorithms are good for, and where they fall down. It’ll discuss what it means to design a service using algorithms and the skills you’ll need to develop and adapt if you’re to thrive in the next era of experience design.

Interaction Designers vs Algorithms

The Structure of Discourse in Human-Computer InteractionSpeaker: Abi JonesAbi Jones compares human-to-human and human-computer conversation and interaction, introducing you to the conversational machines in your life and those to come. Learn what makes for great human-computer speech interaction from the first turn to the last, how computers interpret speech, and why it’s more enjoyable and addictive to talk to a 1960s chatbot than most intelligent assistants available today.

How We Talk and How Machines Listen

Speaker: Adam Connor
By understanding what principles are and where they come from we can move beyond the lists of best practices and heuristics we’re all familiar with and create unique, consistent experiences.
Inconsistency is one of the most common points of breakdown and frustration in the interactions and experiences we have. Whether we’re interacting with other people, applications, our bank, our doctor, our government, anyone, we form expectations and understandings of what someone or something will do based on our previous experiences and their past behaviors. When something happens that doesn’t fit with those expectations–that seems out of character–we’re caught off guard. What do we do next? What should we expect now?
Principles act as rules that guide how we think and act. Formed by our motivations, values and beliefs, we use them as “lenses” through which we examine information in order to make decisions on what to do. And because of their persistent influence on our behavior, they influence other’s views and expectations of us. Using these same kinds of constructs throughout the design process we can design interactions and consistent behaviors that set and live up to expectations for our audiences.

Creating Consistent Experiences With Design Principles

Speaker: Per Axbom
Adopting techniques from behavioral sciences we are, as UX practitioners, becoming ever better at nudging users to perform the tasks we want them to perform. But when we remove all barriers and deliver the fairy-tale experience of requiring minimal brain capacity to move forward, we are in fact abandoning our promise of allowing users to make the best choice.
In this talk, where fairy-tale and reality intertwine, I will help you catch yourself and remember why you became passionate about UX in the first place.

The Invisible Problem with Fairy Tale Experiences

Speaker: Melissa Perri
Over the past few years there’s been a push in the product development world to “make products that people love”. A great User Experience is now essential to creating a successful product. While many companies focus on having the best design and the greatest experience, they are still missing the most important step in product development - learning about their customers.With Agile and Lean gaining popularity in more companies, we talk about techniques to get things out to users faster. At the core of this has been the Minimum Viable Product. Unfortunately, many people still do not understand the MVP. Some see it as a way to release a product faster. Others are scared of it, viewing it as a way to put broken code on your site and ruin products.The sole purpose of Minimum Viable Product is to learn about your customers. This step that has been so overlooked and yet it is the most essential part to creating a product your customers will love. The more information you can uncover through experimentation, the more certainty there is about building the right thing. In this talk, Melissa will go over how to design the most effective product experimentations and Minimum Viable Products. She’ll explain how to get the rest of the organization on board with this method of testing, and how to incorporate it into overall Product Strategy.

Big Data UX

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