Talent Search Ilo por Malkovro de Artistoj de Qihang Zhang and Ruijingya Tang

La dizajno Talent Search Ilo por Malkovro de Artistoj de Qihang Zhang and Ruijingya Tang estas tre estimata gajninto de la prestiĝa 2025 Fera A' Design Award en la Konkursa Kategorio Dezajno de Interfaco, Interago kaj Uzantsperto.

FeroInterfaco· 2025

Talent Search Ilo por Malkovro de Artistoj

de Qihang Zhang and Ruijingya Tang

Kliento: Chartmetric

Gajninto de Fera A' Design Award en la Kategorio Interfaco

15,182

Kontrolita Premiogajninto

Kontroli Premiostaton por #168884

Viziti Retejon Vidi ĉe A' Design Award Gazetara Komuniko Premia Insigno

Koloroj

La Dezajno

Pri Talent Search Ilo por Malkovro de Artistoj

Talent Search estas TTT-bazita ilo por serĉado de muzika talento. La ilo helpas profesiulojn pri artistoj kaj repertuaro trovi emerĝantajn artistojn kun forta kreskopotencialo. Datumoj de flufa aŭskultado kaj sociaj retoj estas transformitaj en klarajn interagajn bildigojn, kun diagramoj, filtriloj kaj rangolistoj. Taksa kolorsistemo subtenas rapidan komparon de rendimentaj mezuroj. Talent Search malpliigas dependecon de personaj retoj kaj subjektiva juĝo. La dezajno celas fari la taksadon de talento pli objektiva, pli efika kaj pli malfermita al novaj artistoj.

La Agnosko

Pri la Fera A' Design Award

Talent Search Ilo por Malkovro de Artistoj estas gajninto de la Fera A' Design Award, prestiĝa rekono donata al bonaj dezajnoj, kiuj plenumas la profesiajn kaj industriajn postulojn atendatajn de bone dezajnitaj kreaĵoj. La Feraj gajnintoj montras grandan lertecon, altan specialiĝon, spertan komprenon kaj kreivan kapablon de siaj kreintoj. Oni atendas, ke Talent Search Ilo por Malkovro de Artistoj estu tre estimata, admirata kaj ŝatata kreaĵo, kiu estas praktika kaj nova. Ĉi tiu dezajno gajninta la Feran A' Design Award integras plej bonajn industriajn praktikojn kaj havas kompetentajn teknikajn karakterizojn ligitajn kun scipovo kaj talento. Talent Search Ilo por Malkovro de Artistoj estas respektata pro sia zorgemo kaj estas dezajnita por provizi plibonigojn de la vivokvalito, kiuj helpas fari la mondon pli bona loko.

Malantaŭ la Dezajno

Gazetara Dosiero

Kreditoj, teamanoj kaj teknikaj detaloj provizitaj de la dezajnisto.

Unikaj Ecoj: 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.
Dimensioj kaj Pakado: 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.
Etikedoj: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Produkta Teknologio: 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.
Dizajna Defio: 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.
Esplorado: 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.
Inspiro: 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.
Projekta Daŭro: 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.
Funkcia Fluo: 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.
Teamanoj: Qihang Zhang, Ruijingya Tang
Bildaj Kreditoj: 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