Talent Search Eina de Descobriment d'Artistes de Qihang Zhang and Ruijingya Tang

El disseny Talent Search Eina de Descobriment d'Artistes de Qihang Zhang and Ruijingya Tang és un guanyador molt estimat del prestigiós 2025 A' Design Award de Ferro en la Categoria de Competició de Disseny d'Interfície, Interacció i Experiència d'Usuari.

FerroInterfície· 2025

Talent Search Eina de Descobriment d'Artistes

de Qihang Zhang and Ruijingya Tang

Client: Chartmetric

Guanyador del A' Design Award de Ferro en la Categoria de Interfície

15,182

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Colors

El Disseny

Sobre Talent Search Eina de Descobriment d'Artistes

Talent Search és una eina web per a la cerca de talent musical. L'eina ajuda els professionals d'artistes i repertori a trobar artistes emergents amb un fort potencial de creixement. Les dades de streaming i xarxes socials es tradueixen en visualitzacions interactives clares, amb gràfics, filtres i classificacions. Un sistema de colors avaluatiu facilita la comparació ràpida de les mètriques de rendiment. Talent Search redueix la dependència de xarxes personals i judicis subjectius. El disseny té com a objectiu fer que l'avaluació de talent sigui més objectiva, més eficient i més oberta a nous artistes.

El Reconeixement

Sobre el A' Design Award de Ferro

Talent Search Eina de Descobriment d'Artistes és un guanyador del guardó A' Design Award de Ferro, un reconeixement prestigiós concedit a bons dissenys que compleixen els requisits professionals i industrials esperats de creacions ben dissenyades. Els guanyadors de Ferro demostren una gran habilitat, una alta especialització, una comprensió experta i la capacitat creativa dels seus creadors. Es preveu que Talent Search Eina de Descobriment d'Artistes sigui una creació molt apreciada, admirada i estimada que és pràctica i innovadora. Aquest disseny guanyador del guardó A' Design Award de Ferro integra les millors pràctiques del sector i té característiques tècniques competents lligades al coneixement i al talent. Talent Search Eina de Descobriment d'Artistes és respectat per la seva minuciositat i està pensat per oferir millores en la qualitat de vida que ajuden a fer del món un lloc millor.

Darrere del Disseny

Dossier de Premsa

Crèdits, membres de l'equip i detalls tècnics proporcionats pel dissenyador.

Propietats Úniques: 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 i 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.
Etiquetes: 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 Producció: 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.
Repte de Disseny: 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.
Recerca: 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.
Inspiració: 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 Projecte: 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 d'Operació: 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'Equip: Qihang Zhang, Ruijingya Tang
Crèdits de les 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