Take-aways from MIX 2018

Falling In and Out and In Love with Information Architecture

Speaker: Louis Rosenfeld / author of Information Architecture

  • After listening to this notes, you will understand his view of Information though I only write down the parts that I resonated to.
    1. The difference bt. information and data
      •  information has more semantic value, data is facts
    2. Organisation/ labelling is always related to culture
      example: Screen Shot 2018-05-04 at 5.58.50 PM
      Credit: this blog
      The way how the food got laid out is based on culture context
    3. It’s necessary to organise stuff, since we create products that ‘people use’. If it’s messy plotted, how can other use it?
    1. IA = Users + Context + Content IMG_5939
      • Context —> biz/ entrepreneur cares
        Content -> usually handles by marketer
        Users -> UX cares about
      • My take-aways: Now I realise why I talk more about context than other UXers…since I’m more influenced by biz recently.
    2. Human’s searching info journey is always an “iterative" process
    3. The role IA plays in AI era:
      Taking semantic information to make it works like data
    4. Why the book was successful back in 1998?
      That was about the time many developers, designers, marketers, librarians were struggled with dealing with information. They could’t solve by themselves, and need a common framework, vocabulary to bridge them together to communicate.

      My take-away: Just like how it serves as a practical tool solving a real problem.

    5. How he falls out of love with IA then fall back in love with IA again:
      falls out:
      when research, he started exploring all kind of data generated by all different team and methodology, such as qualitative and quantitative…..but these data ends up with not really provide value because of:
      1. Siloed research — different team work on their own thing and not talking to each other
      2. Gaps in research memory — research results are hard to be retrieved, ended up being forgotten.
      3. Reports instead of insight — It becomes routine, people used to generate report but forgetting the real value is create insight.
      IMG_5950
      Falls back into love:
      By seeing people finding smart ways to make IA value really shine
      Casestudy: wework Polaris

      這個slideshow需要JavaScript。

    6. The concept of DevOps -> DesignOps, he sees the future will have ResearchOps and InsightOps.
  • My overall take-aways:
    Technology is huge push to the world. We will all need to learn how to collaborate with machine, translate human world information into a way that machine can understand. It’s also a huge part of Tmall UX team do to train the smart speaker.
    In order to be efficient and able to work as a team, allowing teammates to carry out your work further, we all need to be structured of our output. So in a soft way, that’s how IA comes in. In a hard way, it really means we translate the information/work human understand into a way machine can understand.
    IMG_5956
    We all need to be xxxOps!
    Love his saying: Sense the gap, pull it together, that would be your journey.

    Other take-aways from the D1 conference

  • There is country difference that UXers need to be aware of and change the way you work.
  • ISObar example: the way she recruits users for user research in the western world: hire a recruit manager, list out the tester attributes and incentives for the recruit manage to find good fits. But in China, because people would fake themselves to be qualified users just to get the money, they need to recruit via connections.
  • If the team communication is bt. one-country team, can be a lot easier without much documentation because we share same context. But in an international team, documentation is necessary because we need make sure we are on the same page to the details without hypothesis due to culture difference.
  • Line example: Japanese and Korea team wouldn't understand why invoicing is complicated in Taiwan.
  • The attribute of a new industry — problem based. You would found yourself working on various things and seems no clear boundary.
    If it’s an old industry, it’s stabilised, therefore you can have fixed way to solve it.
  • A metaphor of the shortage of being problem passed: it's like fighting, but chase the person, keep fighting him. But don't forget that the direction is driven by him. So remember to get clear about the direction you should go.
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