Talent Search Cuab Yeej Nrhiav Kws Ua Yeeb Yam los ntawm Qihang Zhang and Ruijingya Tang

Qhov qauv tsim Talent Search Cuab Yeej Nrhiav Kws Ua Yeeb Yam los ntawm Qihang Zhang and Ruijingya Tang yog tus yeej muaj nqis heev ntawm qhov khoom plig 2025 A' Design Award Hlau hauv Pawg Sib Tw Tsim Kev Sib Txuas, Kev Sib Cuam Tshuam thiab Kev Siv Neeg.

HlauKev Sib Txuas· 2025

Talent Search Cuab Yeej Nrhiav Kws Ua Yeeb Yam

los ntawm Qihang Zhang and Ruijingya Tang

Tus Neeg Siv: Chartmetric

Tus Yeej A' Design Award Hlau hauv Pawg Kev Sib Txuas

15,182

Tus Yeej Khoom Plig Tau Txheeb Xyuas

Txheeb Xyuas Qhov Xwm Txheej Khoom Plig rau #168884

Mus Saib Lub Vev Xaib Saib ntawm A' Design Award Tsab Xov Xwm Daim Phiaj Khoom Plig

Xim

Qhov Tsim

Txog Talent Search Cuab Yeej Nrhiav Kws Ua Yeeb Yam

Talent Search yog ib qho cuab yeej siv hauv web rau kev nrhiav kws ua yeeb yam nkauj suab. Qhov cuab yeej no pab cov neeg ua haujlwm hauv artist thiab repertoire nrhiav cov kws ua yeeb yam tshiab uas muaj peev xwm loj hlob zoo. Cov ntaub ntawv streaming thiab social media raug muab hloov ua cov duab qhia meej thiab tswj tau, nrog rau cov kab qauv (charts), kev tsom (filters) thiab kev txheeb theem (rankings). Ib lub kaw lus xim ntawm kev ntsuas pab txhawb kev sib piv sai ntawm cov nqi ntsuas ua haujlwm. Talent Search txo qhov cia siab rau kev sib txuas lus ntawm tus kheej thiab kev txiav txim siab raws li kev pom ntawm ib leeg. Qhov project no muaj hom phiaj los ua kom kev ntsuas kws ua yeeb yam muaj tseeb tiag, muaj kev ua haujlwm zoo dua, thiab qhib rau cov kws ua yeeb yam tshiab ntau dua.

Qhov Lees Paub

Txog A' Design Award Hlau

Talent Search Cuab Yeej Nrhiav Kws Ua Yeeb Yam yog tus yeej ntawm A' Design Award Hlau, ib qho kev lees paub muaj meej mom uas muab rau cov qauv tsim zoo uas ua tau raws li cov kev xav tau ntawm kev ua haujlwm thiab kev lag luam uas xav tau los ntawm cov khoom tsim zoo. Cov neeg yeej Hlau qhia txog kev txawj loj, kev paub tshwj xeeb siab, kev nkag siab ntawm cov kws tshaj lij thiab lub peev xwm tsim ntawm cov neeg tsim. Talent Search Cuab Yeej Nrhiav Kws Ua Yeeb Yam xav tias yuav yog ib qho khoom tsim uas neeg hwm, qhuas thiab hlub uas siv tau thiab tsim tshiab. Cov qauv tsim yeej A' Design Award Hlau no sib xyaw cov kev coj ua zoo tshaj plaws ntawm kev lag luam thiab muaj cov yam ntxwv siv tshuab txawj ntse txuas nrog kev paub thiab txuj ci. Talent Search Cuab Yeej Nrhiav Kws Ua Yeeb Yam tau txais kev hwm vim nws tag nrho thiab tsim los muab kev txhim kho rau lub neej uas pab ua rau lub ntiaj teb zoo dua.

Tom Qab Qhov Tsim

Pob Xov Xwm

Cov credit, cov neeg pab thiab cov ntsiab lus kev txawj ntse muab los ntawm tus tsim.

Yam Tshwj Xeeb: 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.
Qhov Loj & Ntim: 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.
Cov Ntsiab Lus: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Thev Naus Laus Zis Tsim Khoom: 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.
Kev Sib Tw Tsim Qauv: 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.
Kev Tshawb Fawb: 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.
Kev Txhawb Siab: 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.
Lub Sij Hawm Ua Hauj Lwm: 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.
Txheej Txheem Ua Hauj Lwm: 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.
Cov Tswv Cuab Pab: Qihang Zhang, Ruijingya Tang
Kev Qhuas Duab: 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