Talent Search Isixhobo Sokufumana Iimvumi ngu-Qihang Zhang and Ruijingya Tang

Uyilo olubizwa ngokuba yi-Talent Search Isixhobo Sokufumana Iimvumi olwenziwe ngu-Qihang Zhang and Ruijingya Tang ngumwini obekekileyo webhaso elinobukhazikhazi le-2025 Ibhaso Lentsimbi le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo lwe-Inthafeyi, uNxibelelwano kunye naMava oMsebenzisi.

IntsimbiI-Inthafeyi· 2025

Talent Search Isixhobo Sokufumana Iimvumi

ngu Qihang Zhang and Ruijingya Tang

Umxhasi: Chartmetric

Umwini we-Ibhaso Lentsimbi le-A' Design Award Kudidi Lwe-I-Inthafeyi

15,182

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#168884

Tyelela iSayithi Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Talent Search Isixhobo Sokufumana Iimvumi

I-Talent Search sisixhobo esisekwe kwiwebhu esenzelwe ukukhangela iimvumi ezinesiphiwo somculo. Esi sixhobo sinceda iingcali zabaqhubi kunye nabaqambi ukufumana iimvumi ezisakhulayo ezinamandla amakhulu okukhula. Idatha ye-streaming kunye nezothungelwano zentlalo iguqulelwa ibe zizithombe ezicacileyo nezisebenzayo, ezinamashadi, izihluzi kunye nokuhlelwa ngokwenqanaba. Inkqubo yemibala yovavanyo ixhasa uthelekiso olukhawulezayo lwemilinganiselo yokusebenza. I-Talent Search inciphisa ukuxhomekeka kumadlelo abantu kunye nokugweba okusekelwe kwimvakalelo. Uyilo lujolise ekwenzeni uvavanyo lweziphiwo lube ngokusesikweni ngakumbi, lusebenze ngokukhawuleza ngakumbi kwaye luvuleleke ngakumbi kwiimvumi ezintsha.

Ukuqatshelwa

Malunga ne-Ibhaso Lentsimbi le-A' Design Award

Talent Search Isixhobo Sokufumana Iimvumi ngumphumeleli weIbhaso Lentsimbi le-A' Design Award, ukuqatshelwa okuhlonitshwayo okunikwa imiyilo elungileyo eyanelisa iimfuno zobungcali neemveliso ezilindelekileyo kwimveliso ezicwangciswe kakuhle. Abaphumeleleyo beNtsimbi babonisa ubuchule obukhulu, ubuchule obuphezulu, ukuqonda kwengcali namandla okuyila abayili babo. Talent Search Isixhobo Sokufumana Iimvumi iyathenjwa ukuba ibe yimveliso exatyiswa kakhulu, edunyiswayo nethandwayo esebenzayo neyinto entsha. Lo myilo uphumeleleyo weIbhaso Lentsimbi le-A' Design Award udibanisa iindlela ezilungileyo kakhulu zemboleko kwaye unezimpawu zobuchwephesha ezifanelekileyo ezidityaniswe nolwazi netalente. Talent Search Isixhobo Sokufumana Iimvumi iyahlonelwa ngenxa yenkcukacha yayo kwaye yacwangciselwa ukunika uphuculo lomgangatho wobomi olunceda ukwenza ihlabathi libe yindawo engcono.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: 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.
Imilinganiselo nePakishini: 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.
Iithegi: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Ubuchwepheshe Bokuvelisa: 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.
Umngeni Woyilo: 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.
Uphando: 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.
Inkuthazo: 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.
Ubude Beprojekthi: 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.
Ukuhamba Komsebenzi: 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.
Amalungu Eqela: Qihang Zhang, Ruijingya Tang
Amagunya Emifanekiso: 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