设计师 Xiaorui Zhu 的作品 DataX 数据分析移动应用荣获了极具声望的 2022 A' Design Award 铁奖，竞赛类别为移动技术、应用与软件设计。

铁移动· 2022

DataX 数据分析移动应用

设计师： Xiaorui Zhu

移动类别A' Design Award 铁奖获奖者

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设计作品

关于 DataX 数据分析移动应用

DataX是一款面向大型会议参会者的移动应用。DataX让参会者能够与舞台上演示的数据集进行同步,并在手机上自主探索该数据集。内置工具可对数据进行排序、筛选、聚合与可视化,并推荐合适的图表样式。各项选择以简洁的语句结构呈现,因此几乎无需具备数据分析知识即可上手。编辑后的幻灯片与图表可分享至讨论小组,用于提问与补充见解。该设计旨在让所有参会者,包括视障与听障人士,都能获得平等的参与机会。

荣誉认可

关于A' Design Award 铁奖

DataX 数据分析移动应用是 A' Design Award 铁奖得主，这是授予满足人们对设计精良的创作所期待的专业与工业要求的优良设计的声望认可。铁奖得主展现出其创作者的高超技艺、高度专业化、专家级的理解力和创造能力。预计DataX 数据分析移动应用将成为一件备受推崇、令人钦佩且被珍爱的创作，既实用又创新。这件赢得 A' Design Award 铁奖的设计整合了行业最佳实践，并拥有与专业知识和才华相结合的称职技术特性。DataX 数据分析移动应用因其严谨而受到尊重，旨在提供有助于让世界变得更美好的生活品质改善。

设计幕后

媒体资料包

由设计师提供的致谢、团队成员及技术详情。

独特属性: It's the first APP that allows attendees to play with the real-time on-stage dataset, create inspiring visualizations, and bring their ideas to other attendees and even speakers. It aims to provide equal opportunities to all attendees, including those who have vision problems, who are deaf-mutes, and who are unconfident on social networking, to learn and shine.
尺寸与包装: The APP can work for mobile screen sizes from 375x667(iPhone 8) to 428x926(iPhone 13 Max) and should be compatible with both iOS and Android systems. The APP can be downloaded by scanning the QR code and being redirected to the link created by the conference organizers. It's primarily for mobile devices for allowing attendees to have handy tools and guidebooks of the conference without the need of bringing their bulky laptops.
标签: Interaction Design, Mobile Application, UX Design, Data Analytics Tool, Digital Service Design
生产技术: This APP features a powerful data analytics tool that automatically extracts and categorizes the variables of presented datasets (csv. format) into option buttons, and presented to attendees in a human language structure "I want to (measuring method) (measuring object) in (condition)". For the visualization feature, the APP will recommend the most suitable chart styles based on the nature of the dataset to attendees and allow them to merge duo datasets into one.
设计挑战: There are no similar products on the market so nearly nothing to refer to. Also, most analytical tools are not friendly for small screens, so I ran research to understand what's the core features and how to make them intuitive for attendees with little analytics background. Recruiting testing participants was also hard because I had to try to include as many types of attendees as I can, including but not limited to disables, seniors, non-analytics-proficient users, deaf and mutes, etc.
研究: I conducted qualitative and quantitative research on real attendees and organizers. Methodologies used include focus groups, questionnaires, and user journey mapping. After initial research, I also conducted several runs of moderated usability testing with prototypes and well-designed tasks with participants to guide the iterations. Tools used include Sketch, Adobe XD, Airtable, Balsamiq, Google Doc, etc.
灵感: During a large conference, attendees have common frustrations including cannot sync to the content presented on stage (if being late), no way to validate speakers' opinions, feeling difficulty interacting with other unknown attendees, and building up post-conference networking. This design aims to solve these problems to bring attendees a seamless experience and allow them to contribute to the social topics that are discussed at the conference.
项目周期: The project started in Aug 2021 and finished in Feb 2022 in New York City.
操作流程: Attendees can find what ongoing panels of this conference and in which rooms are they on the dashboard. Then sync to the slide that's being presented on stage with their phone, and they can magnify to edit, then share the edited slide to the hub and ask questions to get help from other attendees. With the built-in analytical tool, attendees can also sort, filter, aggregate, and visualize the speaker's dataset and share their ideas to the panel group to make contributions and impact.