Qihang Zhang and Ruijingya Tang nisqap Talent Search Artistakuna Tarina Herramienta diseñon

Qihang Zhang and Ruijingya Tang nisqap Talent Search Artistakuna Tarina Herramienta diseñonqa Tinkinakuy Kamay Atipanakuy T'aqapi 2025 A' Design Award Fierru Premiu nisqap ancha chaniyuq atipaqninmi.

FierruTinkinakuy· 2025

Talent Search Artistakuna Tarina Herramienta

Qihang Zhang and Ruijingya Tang rurasqa

Mañakuq: Chartmetric

Tinkinakuy T'aqapi A' Design Award Fierru Premiu Atipaq

15,182

Taripasqa Premio Atipaq

#168884 nisqapaq Premio Kayninta Taripay

Sitio Web Qhaway A' Design Award ukhupi Qhaway Prensa Willakuy Premio Unanchay

Llinphikuna

Diseñomanta

Talent Search Artistakuna Tarina Herramienta nisqamanta

Talent Search nisqaqa huk web nisqapi ruwasqa herramientam, takiypi kaq talentokunata maskanapaq. Kay herramientaqa "artist and repertoire" nisqa llamk'aqkunata yanapan, sinchi wiñay atiyniyoq mosoq artistakunata tarinankupaq. Streaming nisqamanta hinaspa social media nisqamanta hamuq willakuykunaqa sut'incha rikuchiy imaykunaman tikrasqa kanku, grafico kunawan, sut'inchaqkunawan (filtros) hinaspa hatun-huch'uy churasqawan (rankings). Huk kolor sistemam, imaymana ruwasqa kaqkunata utqhayllata tupanapaq yanapan. Talent Search nisqaqa runa masikunapa rikch'aqninmanta (personal networks) hinaspa sapallan yuyaymanta (subjective judgment) atiqllata mana hina llamk'achinta pisichin. Kay disenoqa munan talentota qhawariyta aswan cheqaq, aswan allin, hinaspa mosoq artistakunapaq aswan kicharisqa kananpaq.

Riqsichiy

A' Design Award Fierru Premiu nisqamanta

Talent Search Artistakuna Tarina Herramienta A' Design Award Fierru Premiu mishak kan, yupaychay, kayta ruray yachak shinallatak industriapak mañaykunata paktachik alli diseñukunaman kun. Fierru mishak kashkakunaka hatun ruray ushayta, hanak yachayta, yachak yuyayta shinallatak ruray kamachiyta rikuchinku. Talent Search Artistakuna Tarina Herramienta sinchi yupaychashka, kuyashka shinallatak kuyashka ruray, ruranapak alli shinallatak mushuk yuyaypi kanata munanku. Kay Fierru Premiu japishka diseñuka industriapak ashtawan alli ruraykunata tantachin shinallatak yachaywan shinallatak ushaywan tantashka tekniku ushayta charin. Sinchi ruraymanta Talent Search Artistakuna Tarina Herramienta yupaychashka kan shinallatak kawsayta alliyachik ruraykunata kuypak ruray kan, pachata ashtawan alli kachun ruran.

Diseño Qhipanpi

Prensa Kit

Diseñadorpa quska créditos, llamk'aq runakunapas técnico willaykuna.

Sapaq Kayninkunamanta: 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.
Tupukuna & P'istuy: 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.
Etiquetakuna: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Ruway Tecnología: 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.
Diseño Sasachakuy: 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.
T'aqwiy: 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.
Kallpachay: 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.
Llamk'ay Pacha: 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.
Purichiy Puriy: 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.
Huñu Runakuna: Qihang Zhang, Ruijingya Tang
Siq'i Hayñikuna: 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