Talent Search Orodje za odkrivanje umetnikov – avtor Qihang Zhang and Ruijingya Tang

Delo Talent Search Orodje za odkrivanje umetnikov avtorja Qihang Zhang and Ruijingya Tang je izjemno cenjeni dobitnik prestižne nagrade 2025 Železna nagrada A' Design Award v tekmovalni kategoriji Oblikovanje vmesnikov, interakcij in uporabniške izkušnje.

ŽeleznaVmesnik· 2025

Talent Search Orodje za odkrivanje umetnikov

avtor/ica: Qihang Zhang and Ruijingya Tang

Naročnik: Chartmetric

Dobitnik nagrade Železna nagrada A' Design Award v kategoriji Vmesnik

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Preverite status nagrade za #168884

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Dizajn

O dizajnu Talent Search Orodje za odkrivanje umetnikov

Talent Search je spletno orodje za iskanje glasbenih talentov. Orodje strokovnjakom za umetnike in repertoar pomaga odkrivati nastajajoče izvajalce z velikim potencialom rasti. Podatki iz pretočnih storitev in družbenih omrežij so pretvorjeni v jasne interaktivne vizualizacije z grafikoni, filtri in lestvicami. Sistem vrednotenja z barvno lestvico omogoča hitro primerjavo kazalnikov uspešnosti. Talent Search zmanjšuje odvisnost od osebnih povezav in subjektivne presoje. Cilj zasnove je narediti ocenjevanje talentov bolj objektivno, učinkovitejše in bolj odprto za nove umetnike.

Priznanje

O nagradi Železna nagrada A' Design Award

Talent Search Orodje za odkrivanje umetnikov je prejemnik Železne nagrade A' Design Award, prestižnega priznanja, ki se podeljuje dobrim oblikovanjem, ki izpolnjujejo profesionalne in industrijske zahteve, pričakovane od dobro zasnovanih stvaritev. Prejemniki Železne nagrade kažejo veliko spretnost, visoko specializacijo, strokovno razumevanje in ustvarjalne zmožnosti svojih ustvarjalcev. Od Talent Search Orodje za odkrivanje umetnikov se pričakuje, da bo visoko cenjena, občudovana in ljubljena stvaritev, ki je praktična in inovativna. To oblikovanje, nagrajeno z Železno nagrado A' Design Award, vključuje najboljše prakse panoge in ima kompetentne tehnične lastnosti, povezane s strokovnim znanjem in talentom. Zaradi svoje temeljitosti si Talent Search Orodje za odkrivanje umetnikov zasluži spoštovanje in je zasnovan tako, da zagotavlja izboljšave kakovosti življenja, ki pomagajo narediti svet boljši kraj.

V ozadju dizajna

Komplet za medije

Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.

Edinstvene lastnosti: 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.
Dimenzije in embalaža: 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.
Oznake: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Proizvodna tehnologija: 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.
Oblikovalski izziv: 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.
Raziskave: 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.
Inspiracija: 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.
Trajanje projekta: 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.
Potek delovanja: 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.
Člani ekipe: Qihang Zhang, Ruijingya Tang
Zasluge za slike: 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