Talent Search Teclyn Darganfod Artistiaid gan Qihang Zhang and Ruijingya Tang

Mae Talent Search Teclyn Darganfod Artistiaid gan Qihang Zhang and Ruijingya Tang yn enillydd uchel ei barch o'r 2025 Gwobr Haearn A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Rhyngwyneb.

HaearnRhyngwyneb· 2025

Talent Search Teclyn Darganfod Artistiaid

gan Qihang Zhang and Ruijingya Tang

Cleient: Chartmetric

Enillydd Gwobr Haearn A' Design Award yn y Categori Rhyngwyneb

15,182

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #168884

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

Lliwiau

Y Dyluniad

Am Talent Search Teclyn Darganfod Artistiaid

Mae Talent Search yn declyn ar y we ar gyfer chwilio am dalent gerddorol. Mae'r teclyn yn helpu gweithwyr proffesiynol artist a repertoire i ddod o hyd i artistiaid newydd sydd â photensial twf cryf. Trosir data ffrydio a chyfryngau cymdeithasol yn weledluniau rhyngweithiol clir, gyda siartiau, hidlyddion a rhestrau safle. Mae system liw werthusol yn cynorthwyo cymhariaeth gyflym o fetrigau perfformiad. Mae Talent Search yn lleihau'r dibyniaeth ar rwydweithiau personol a barn oddrychol. Nod y dyluniad yw gwneud gwerthuso talent yn fwy gwrthrychol, yn fwy effeithlon ac yn fwy agored i artistiaid newydd.

Y Gydnabyddiaeth

Am y Gwobr Haearn A' Design Award

Mae Talent Search Teclyn Darganfod Artistiaid 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 Talent Search Teclyn Darganfod Artistiaid 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 Talent Search Teclyn Darganfod Artistiaid 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: Talent Search streamlines music scouting by leveraging data-driven insights to identify emerging artists with strong growth potential. Unlike traditional methods reliant on network referrals, it provides quantifiable performance metrics, reducing bias and scaling global talent discovery. Its intuitive design ensures data interpretability, employing accessible visualizations and an evaluative color system to enhance decision-making for industry professionals.
Dimensiynau a Phecynnu: Talent Search runs on Chartmetric’s web-based analytics platform, utilizing a scalable backend to process large volumes of streaming and social data in real time. It employs advanced data analytics for trend detection, statistical normalization techniques for data accuracy, and an interactive front-end with dynamic filtering and visualization capabilities. Optimized for efficiency, it ensures seamless navigation through complex datasets, enabling precise and data-driven talent scouting decisions.
Tagiau: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Technoleg Cynhyrchu: Talent Search was developed using a user-centered design approach, integrating industry research, stakeholder interviews, and iterative prototyping. Data visualization techniques enhance interpretability, employing a diverging color scale for evaluative metrics and a sequential scale for neutral data. Built within Chartmetric’s analytics platform, it leverages advanced data analytics to process streaming and social data, delivering actionable insights that empower A&R professionals in talent scouting.
Her Dylunio: The biggest challenge was translating complex music industry data into intuitive, actionable insights. A&R teams rely on multiple fragmented sources, and making diverse data—from streaming numbers to social engagement—easily interpretable required extensive iteration. Balancing usability with analytical depth was key. We overcame this by refining data visualization techniques, ensuring clarity without oversimplification, and addressing industry bias by prioritizing transparent, equitable metrics.
Ymchwil: We conducted mixed-methods research to address inefficiencies in music talent scouting. The goal was to create a data-driven tool that enhances A&R decision-making. We used stakeholder interviews, competitive analysis, and data analytics to understand user needs. Data was collected through industry consultations and Chartmetric’s database. Participants included A&R teams from record labels, streaming platforms, and management agencies.

Findings revealed that traditional scouting is subjective and network-dependent, making it hard to identify emerging artists early. Our research highlighted the need for transparent, interpretable data to support talent evaluation. Based on these insights, we designed Talent Search to present key growth metrics through interactive visualizations, enabling more informed and efficient scouting.

This innovation has reshaped talent discovery by providing objective, scalable insights that reduce bias and expand access to industry opportunities. By democratizing data, Talent Search allows promising artists—regardless of background—to gain recognition based on measurable success. It streamlines business operations for A&R professionals while fostering a more inclusive and data-driven approach to music scouting.
Ysbrydoliaeth: Talent Search was inspired by the need for a scalable, data-driven approach to music scouting. Traditional methods rely on industry connections and live performances, limiting accessibility and objectivity. Our design leverages advanced analytics to surface promising artists early, empowering professionals with actionable insights. Rooted in research on music industry trends and A&R workflows, it ensures clarity, efficiency, and fairness in talent evaluation.
Hyd y Prosiect: The project commenced in May 2023 in California and concluded in November 2024. After an 18-month development period, the Talent Search tool was officially launched on November 7, 2024.
Llif Gweithrediad: Talent Search allows A&R professionals to discover emerging artists by analyzing streaming and social media trends. Users can explore artists through interactive charts, filters, and rankings that highlight growth potential. The tool simplifies complex data into clear insights, helping users make informed scouting decisions. By presenting key performance metrics in an accessible way, it reduces guesswork and streamlines the process of identifying promising talent efficiently.
Aelodau'r Tîm: Qihang Zhang, Ruijingya Tang
Cydnabyddiaeth Delweddau: Image #1: Illustrator Ruijingya Tang, Talent Search Interface, 2024
Image #2: Illustrator Qihang Zhang, Talent Search Interface, 2024
Image #3: Illustrator Ruijingya Tang, Talent Search Interface, 2024
Image #4: Illustrator Qihang Zhang, Talent Search Interface, 2024
Image #5: Illustrator Ruijingya Tang, Talent Search Interface, 2024