DataX Swyddogaeth Sylfaenol: Rhaglen Symudol Dadansoddi Data gan Xiaorui Zhu

Mae DataX Swyddogaeth Sylfaenol: Rhaglen Symudol Dadansoddi Data gan Xiaorui Zhu yn enillydd uchel ei barch o'r 2022 Gwobr Haearn A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Symudol.

HaearnSymudol· 2022

DataX Swyddogaeth Sylfaenol: Rhaglen Symudol Dadansoddi Data

gan Xiaorui Zhu

Enillydd Gwobr Haearn A' Design Award yn y Categori Symudol

10,040

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #139047

Gweld yn A' Design Award Datganiad i'r Wasg Bathodyn Gwobr

Lliwiau

Y Dyluniad

Am DataX Swyddogaeth Sylfaenol: Rhaglen Symudol Dadansoddi Data

Testun Llyfr: Mae DataX yn rhaglen symudol ar gyfer pobl sy'n mynychu cynadleddau mawr. Mae DataX yn caniatáu i fynychwyr gydweddu â'r set ddata a gyflwynir ar y llwyfan ac archwilio'r set ddata ar ffôn. Mae offer wedi'u hadeiladu i mewn yn didoli, hidlo, cyfuno a delweddu data, ac yn awgrymu arddulliau siart addas. Dangosir dewisiadau mewn strwythur brawddeg syml, felly ychydig o wybodaeth ddadansoddol sydd ei hangen. Gellir rhannu sleidiau a siartiau wedi'u golygu gyda grwpiau panel i ofyn cwestiynau ac ychwanegu syniadau. Nod y dyluniad yw rhoi cyfle cyfartal i bob mynychwr, gan gynnwys y rhai ag namau golwg neu glyw, i gymryd rhan.

Y Gydnabyddiaeth

Am y Gwobr Haearn A' Design Award

Mae DataX Swyddogaeth Sylfaenol: Rhaglen Symudol Dadansoddi Data yn enillydd Gwobr Haearn A' Design Award, cydnabyddiaeth fawreddog a roddir i ddyluniadau da sydd yn bodloni'r gofynion proffesiynol a diwydiannol a ddisgwylir gan greadigaethau wedi'u dylunio'n dda. Mae enillwyr Haearn yn dangos medrusrwydd mawr, arbenigedd uchel, dealltwriaeth arbenigol a gallu creadigol eu crewyr. Disgwylir i DataX Swyddogaeth Sylfaenol: Rhaglen Symudol Dadansoddi Data fod yn greadigaeth uchel ei bri, a edmygir ac a anwylir, sydd yn ymarferol ac yn arloesol. Mae'r dyluniad buddugol hwn o Wobr Haearn A' Design Award yn integreiddio arferion gorau'r diwydiant ac mae ganddo nodweddion technegol cymwys wedi'u cysylltu â gwybodaeth ymarferol a dawn. Parchir DataX Swyddogaeth Sylfaenol: Rhaglen Symudol Dadansoddi Data am ei drylwyredd ac fe'i dyluniwyd i ddarparu gwelliannau ansawdd bywyd sydd yn helpu i wneud y byd yn lle gwell.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw: 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.
Dimensiynau a Phecynnu: 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.
Tagiau: Interaction Design, Mobile Application, UX Design, Data Analytics Tool, Digital Service Design
Technoleg Cynhyrchu: 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.
Her Dylunio: 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.
Ymchwil: 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.
Ysbrydoliaeth: 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.
Hyd y Prosiect: The project started in Aug 2021 and finished in Feb 2022 in New York City.
Llif Gweithrediad: 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.