Talent Search Artyst Ûntdekkingsark troch Qihang Zhang and Ruijingya Tang

Talent Search Artyst Ûntdekkingsark troch Qihang Zhang and Ruijingya Tang is in heech wurdearre winner fan de tige prestizjeuze 2025 A' Design Award yn Izer yn de kompetysje-kategory Ynterface, Ynteraksje en Brûkersûnderfining Ûntwerp.

IzerYnterface· 2025

Talent Search Artyst Ûntdekkingsark

troch Qihang Zhang and Ruijingya Tang

Klant: Chartmetric

A' Design Award yn Izer Winner yn de kategory Ynterface

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Ferifiearre Priiswinner

Ferifiearje Prisstatus foar #168884

Besykje Side Besjoch by A' Design Award Parseberjocht Priisbadge

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It Untwerp

Oer Talent Search Artyst Ûntdekkingsark

Talent Search is in webbaseard ark foar it sykjen fan muzikaal talint. It ark helpt artist- en repertoireprofessionals by it finen fan opkommende artysten mei sterk groeipotinsjeel. Streaming- en sosjale mediagegevens wurde oersetten yn dúdlike, ynteraktive fisualisaasjes, mei grafiken, filters en rangskikkingen. In evaluearjend kleursysteem stipet it fluch fergelykjen fan prestaasjemjittingen. Talent Search fermindert de ôfhinklikheid fan persoanlike netwurken en subjektyf oardiel. It ûntwerp is derop rjochte om talintevaluaasje objektiver, effisjinter en iepener te meitsjen foar nije artysten.

De Erkenning

Oer de A' Design Award yn Izer

Talent Search Artyst Ûntdekkingsark is in winner fan de A' Design Award yn Izer, in prestisjeuze erkenning foar goede ûntwerpen dy't foldogge oan de profesjonele en yndustriële easken dy't ferwachte wurde fan goed ûntwurpen skeppings. Izerwinners litte grutte feardigens, hege spesjalisaasje, deskundich begryp en kreatyf fermogen fan har makkers sjen. Fan Talent Search Artyst Ûntdekkingsark wurdt ferwachte dat it in tige heech achte, bewûndere en dierbere skepping is dy't praktysk en ynnovatyf is. Dit winnende ûntwerp fan de A' Design Award yn Izer yntegrearret de bêste praktiken fan de sektor en hat feardige technyske skaaimerken ferbûn mei kennis en talint. Talent Search Artyst Ûntdekkingsark wurdt respektearre foar syn yngeandens en is ûntwurpen om ferbetteringen fan de kwaliteit fan it libben te leverjen dy't helpe de wrâld ta in bettere plak te meitsjen.

Efter it Untwerp

Parsepakket

Credits, teamleden en technyske details levere troch de ûntwerper.

Unike Eigenskippen: 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.
Ofmjittingen & Ferpakking: 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.
Labels: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Produksjetechnology: 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.
Untwerpútdaging: 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.
Undersyk: 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.
Ynspiraasje: 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.
Projektdoer: 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.
Operaasjestreamferrin: 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.
Teamleden: Qihang Zhang, Ruijingya Tang
Ofbyldingskrediten: 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