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MG Next Generation Rindranasa Mpanotrona ho an'ny Fiara by Star and Saic Oimt

MG Next Generation Rindranasa Mpanotrona ho an'ny Fiara by Star and Saic Oimt is a highly esteemed winner of the very prestigious 2024 A' Design Award Volamena in Famolavolana Serasera, Fifandraisana ary Traikefan'ny Mpampiasa Competition Category.


VolamenaSerasera· 2024

MG Next Generation Rindranasa Mpanotrona ho an'ny Fiara

by Star and Saic Oimt

Client: SAIC Overseas Intelligent Mobility Technology Co., Ltd.

A' Design Award Volamena Winner in Serasera Category

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Verified Award Winner

Verify Award Status for #159578

Colors

The Design

About MG Next Generation Rindranasa Mpanotrona ho an'ny Fiara

MG Next Generation dia rindranasa mpanotrona ho an'ny tompon'ny fiara, natao ho an'ny finday sy ny famataranandro manan-tsaina. Ity rindranasa ity dia mampivondrona rindranasa isam-paritra maromaro ho lasa vokatra iray manerantany. Azo amboarina araka ny toerana sy ny karazana fiara ny endri-javatra, ka samy mahazo fitaovana mifanaraka amin'ny filany manokana ny tompon'ny fiara tsirairay. Aseho ao anaty garazy virtoaly ny maodelin'ny fiara telo refy, ary ny widget miendrika heksagona dia manaraka ny mari-pamantaran'ny marika. Ny fomba vahiny dia ahafahan'ny olona tsy manana fiara mizaha ireo endri-javatra fototra alohan'ny handraisany fanapahan-kevitra.

The Recognition

About the A' Design Award Volamena

Nandresy ny A' Design Award Volamena ny famolavolana MG Next Generation Rindranasa Mpanotrona ho an'ny Fiara, fankasitrahana malaza indrindra tsy refesi-mandidy omena ny famolavolana kilasy voalohany, mahagaga ary miavaka. Ny mpandresy Volamena dia famoronana vaovao indrindra, mahay mijery lavitra ary mamirapiratra mahafinaritra izay maneho ny fahamoramoran-tsaina, ny fahendrena ary ny fahaizan'ny mpamolavola azy. Andrasana ho fikarohana mahazo ankasitrahana indrindra, mitarika ny fironana ary tsangambato ny famolavolana MG Next Generation Rindranasa Mpanotrona ho an'ny Fiara izay mamatsy sanda tsy mbola nisy toy izany. Ity famolavolana nandresy ny A' Design Award Volamena ity dia tetikasa mahavariana sy hajaina izay mahasoa be ary mampandroso ny sisintanin'ny zavakanto, ny siansa, ny famolavolana ary ny teknolojia. Ny famolavolana MG Next Generation Rindranasa Mpanotrona ho an'ny Fiara dia mamorona fihetseham-po mafy momba ny faniriana, mamelona ny ahiahy, mamporisika ny fahaiza-mamorona ary mahasarika antsika.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
The MG app is a mobile and watch companion for car owners. Our main objective was to create a more holistic mobile experience by integrating existing apps from various markets into a unified global application. The new app aims to boost the adoption of companion devices, allowing users to customize features based on their location and specific vehicle model, delivering a personalized experience.
Tags
mobile, apple watch, 3D, car, automotive, companion app, design system, EV
Production Technology
We aimed to mimic real car experience digitally using a 3D model, giving users a real sense of their vehicle on their screens. We placed the car in a virtual garage inspired by futuristic and sci-fi concepts.
We adopted a clear black and white palette, with hints of metallic and vibrant orange for contrast. Elevating surfaces and visual effects added tangible materiality to the interface, intensified by fluid animations and interactions that emulate real-world functionality.
Hexagon widgets, echoing MG's logo, maintain coherence and reinforce the brand's identity.
Design Challenge
We've segmented users into two distinct groups: car owners and non-owners. Each group has unique informational needs and preferred functionalities.
For car owners, access is provided to a customizable My MG screen, offering swift vehicle control along with personalized features and essential data.
Non-owners utilize a guest mode to preview key features and gather information about MG cars. This mode enables potential buyers to explore the advantages of informed decision-making.
One of the significant challenges faced by the client was managing separate regional apps, leading to maintenance issues and limited scalability. In response, we executed a comprehensive revamp of the app's design approach to address this issue.
Research
Our team thoroughly analyzed vehicle-related apps, identifying market trends, strengths, areas for improvement, and potential innovations. We employed card sorting exercises to grasp user navigation preferences, collaborating with the client team to prioritize features aligning with business goals. Utilizing insights from these exercises, we crafted an interactive prototype showcasing 8 core use cases. Testing this prototype with car owners worldwide uncovered usability issues and app pain points. Leveraging these insights, we refined and improved the app's design to meet user expectations, ensuring a seamless and satisfying experience.
Inspiration
To address the scattered UX complexity present across multiple MG apps, our team developed a unified app using a modular approach. This design empowers users to customize features according to their location and specific vehicle model, delivering a personalized experience. The reimagined structure now incorporates all pre-existing functionalities, guaranteeing clarity, predictability, simplicity, scalability, and substantial value for both users and the business.
Project Duration
up to 6 month, China
Operation Flow
Incorporating real-life patterns and metaphors makes the design clear and intuitive. We based the placement of frequently used functions on user research and ergonomic principles, ensuring easy accessibility. Feedback from validation sessions led to refinements for more clear controls. Careful attention was given to the first-time experience to assist users in binding the car and exploring features. Furthermore, we introduced a guest mode, enabling potential buyers to explore the app's advantages for more informed decision-making. Finally, the watch app offers essential features precisely when users need them.
Team Members
Viacheslav Shkolnyi, Anastasiia Gryshchenko, Kate Hutenieva, Nikolay Apostol, Maryna Ionova, Ivan Shvarov, Bao Yidan, Tang Shenghao, Wu Donghai, Lu Min, Xu Jie, Ruan Bo
Image Credits
Star

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