UX & bagels. One of the more valuable UX sessions/workshops I’ve been to in Singapore. Not just because they had bagels from @twomenbagelhouse 😂 Really good content, structure, and conversations.
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UX & bagels. One of the more valuable UX sessions/workshops I’ve been to in Singapore. Not just because they had bagels from @twomenbagelhouse 😂 Really good content, structure, and conversations.

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Monday night at IDEO. Got a glimpse into ways IDEO designers use data when designing products and services. A key takeaway was to be careful with how data is used/interpreted - that "data is not truth" or the answer, but it should be used to indicate a possible starting point. It is there to tell us what is happening, but not why. We should be hyperaware of the biases we might apply when looking at data and when we are deciding what it is telling us. Another good point was about how there may be gaps in what the data is capturing in the first place. The speakers talked about their process - early on in the design sprint, data is used to as a way to ask the right questions about user needs. And near the end, it is used to raise confidence in the decisions they make for the solution they are designing. The speakers had to be secretive about the projects they work on, but it was still great to hear about the ways they are working to enable new capabilities, interactions, and experiences by combining a human-centered design approach with the carefully incorporated use of data. #aiga #aigaboston #ideo #ideocambridge
Ranjitha Kumar’s work overlaps a lot with what we do at our company. I was already familiar with her work in fashion search/discovery, and in this talk, I learnt about some new directions in her work: “interaction mining” (some things that are more directly applicable for UX design processes), and “taste mining” (an interesting approach to fashion discovery).
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She introduced tools that her team has built that are super useful for smaller companies and UX teams that don’t have the time and resources to run large scale user tests. It’s like open source usability and usage analytics, making data driven design more accessible - allowing more designers to leverage data to build better products.
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She also briefly talked about the similarities between data-driven design thinking being applied to product design and ML design. I left making a note to learn more on how to apply design skills and techniques to ML driven tech. ⠀⠀⠀⠀⠀⠀
#HCI #UX #datadrivendesign
A couple of nights ago, at an UX event, the presenter recommended this book.
The next day, I serendipitously came across it at my coworking space (while waiting for the water to boil for my tea, I was looking through the bookshelf).
Tonight I brought it home and opened the first page. There is a line on the third paragraph that is very similar to a comment/feedback I received last weekend 😂
I think this is a sign that I should read this book.
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Steve Hodges’ bio says he is a “Principal Researcher at Microsoft where he combines device-related research insights with emerging technologies to create new hardware concepts and technologies”. I liked how he simplified this at the beginning of his presentation and described his goal: “to make products that have a positive lasting impact on people’s lives”. His talk was on “Making devices real”, and he spoke on how prototyping has become easier, making it possible to develop valuable, well researched hardware - then gave insights into the difficulties/barriers of actually scaling or commercialising these prototypes. (Some barriers included software/hardware supplier dependencies, regulations, business objectives). Got to hold a “SenseCam” - a creation of his, that is no longer in production due to these constraints. The discussion that followed included workaround ideas such as developing software that works with existing hardware, rather than going through the difficulty of creating new hardware; ideas on creating “DIY instructionals” for such hardware; ideas around educating the end users to drive demand and to set a business case that way; and educating people who are prototyping, to give them a realistic guide on the process and barriers they might encounter when trying to go from prototype to product. #HCI #prototyping #prototypetoproduct (at MIT Stata Center)

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Grateful for all the learning opportunities in Boston. So far this month, there have been two talks at General Assembly Boston - one on “The rise of the corporate innovation labs” and another was a panel discussion with designers in business leadership roles. It’s super helpful to be in a room with more experienced designers talking about what they are doing, sharing ideas, and giving advice.⠀⠀⠀
What the two talks had in common this month, was the importance of cross-team collaboration. Another point that resonated with me was the importance of keeping one foot in the business side of things, but also continuously asking what we are trying to solve for who (maintaining a user-centric design attitude).
Also mentioned during these talks was the recent McKinsey report on “The business value of design”. (There have been other designers who have criticised this report along with another McKinsey article on “Ten design practices”, for oversimplifying and trying to find and define a formula for something that is meant to be more organic. But I think there are some good points and is worth a read). ⠀⠀⠀⠀⠀⠀
#uxdesign #experiencedesign #brandexperience #generalassembly #designers #gaboston
Lunch time lecture at MIT. The speaker, Kanit works in the intersection of UI, Information Visualisation, and Data Science. He spoke about his work in a very detailed and technical level - which I have to admit, I could not fully grasp.
But for a more general application for me as a experience designer, what I took away from this talk is the importance of balancing automation vs user control for the best experience - to use automation to remove as many tedious steps required to provide meaningful recommendations, but to give enough user control at the end to override defaults and to steer recommendations.
World Usabilty Day in Boston. Walked around Boston, picking out good and bad design with a usabilty-filter. We had a visually impaired person on our team, giving us a new perspective on how inaccessible a city can be to some people.