Talent Search Aisina de Descobèrta d'Artistas per Qihang Zhang and Ruijingya Tang

Lo dissènh Talent Search Aisina de Descobèrta d'Artistas per Qihang Zhang and Ruijingya Tang es un laureat autfo estimfo del prestigfo 2025 A' Design Award de Fèrre dins la Categoria de Competfo Interfàcia.

FèrreInterfàcia· 2025

Talent Search Aisina de Descobèrta d'Artistas

per Qihang Zhang and Ruijingya Tang

Client : Chartmetric

Laureat del A' Design Award de Fèrre dins la Categoria Interfàcia

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Colors

Lo Concèpte

A prepaus de Talent Search Aisina de Descobèrta d'Artistas

Talent Search es un esplech web per la recèrca de talents musicals. Aqueste esplech ajuda los professionals d'artistas e de repertòri a trobar d'artistas emergents amb un fòrt potencial de creissença. Las donadas de streaming e de mèdias socials son convertidas en visualizacions interactivas claras, amb de grafics, de filtres e de classaments. Un sistèma de colors evaluatiu facilita la comparason rapida dels indicadors de performança. Talent Search redusís la dependéncia als rets personals e al jutjament subjectiu. La concepcion visa a rendre l'evaluacion dels talents mai objectiva, mai eficaç e mai dubèrta als artistas novèls.

La Reconoissença

A prepaus del A' Design Award de Fèrre

Talent Search Aisina de Descobèrta d'Artistas a ganhat la distincion A' Design Award de Fèrre, una reconeissença prestigiosa acordada a de bons designs que respondon a las exigéncias professionalas e industrialas esperadas de creacions plan concebudas. Los ganhaires del Fèrre demòstran una granda abilitat, una nauta especializacion, una comprenedura d'expèrt e la capacitat creativa de lors creators. S'espèra que Talent Search Aisina de Descobèrta d'Artistas siá una creacion fòrça considerada, admirada e estimada, practica e innovanta. Aqueste design ganhaire de la distincion A' Design Award de Fèrre integra las melhoras practicas del sector e a de caracteristicas tecnicas competentas ligadas a un saber-far e a un talent. Per son rigor, Talent Search Aisina de Descobèrta d'Artistas merita lo respècte e es destinat a aportar de melhoraments a la qualitat de la vida que ajudan a far del mond un luòc melhor.

Darrièr lo concèpte

Kit de premsa

Crèdits, membres de l'equipa e detalhs tecnics fornits pel designer.

Proprietats Unicas: 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.
Dimensions e Embalatge: 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.
Etiquetas: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Tecnologia de Produccion: 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.
Desaffo de Dissènh: 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.
Recèrca: 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.
Inspiracion: 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.
Durada del Projècte: 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.
Flux Operacional: 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.
Membres de l'Equipa: Qihang Zhang, Ruijingya Tang
Crèdits d'Imatges: 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