Talent Search Alat Panéangan Bakat ku Qihang Zhang and Ruijingya Tang

Karya Talent Search Alat Panéangan Bakat ku Qihang Zhang and Ruijingya Tang nyaéta pamenang anu dihormat pisan tina 2025 A' Design Award Beusi anu bergengsi dina Katégori Kompetisi Antarmuka.

BeusiAntarmuka· 2025

Talent Search Alat Panéangan Bakat

ku Qihang Zhang and Ruijingya Tang

Klién: Chartmetric

Pamenang A' Design Award Beusi dina Katégori Antarmuka

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Pamenang Panghargaan anu Diverifikasi

Verifikasi Status Panghargaan pikeun #168884

Buka Situs Tingali di A' Design Award Siaran Pers Lencana Panghargaan

Warna

Désain

Ngeunaan Talent Search Alat Panéangan Bakat

Talent Search mangrupa alat berbasis web pikeun panéangan bakat musik. Alat ieu ngabantosan profésional artist and repertoire (A&R) pikeun manggihan artis nu keur mekar sarta miboga poténsi kamekaran nu kuat. Data streaming jeung média sosial ditarjamahkeun jadi visualisasi interaktif nu écés, dilengkepan grafik, filter, jeung rangking. Sistem warna evaluatif ngarojong perbandingan gancang pikeun métrik kinerja. Talent Search ngirangan katergantungan kana jaringan pribadi jeung penilaian subjéktif. Rarancang ieu miboga tujuan pikeun ngajadikeun evaluasi bakat leuwih objéktif, leuwih éfisién, sarta leuwih muka pikeun artis-artis anyar.

Pangakuan

Ngeunaan A' Design Award Beusi

Talent Search Alat Panéangan Bakat mangrupa juara A' Design Award Beusi, pangakuan anu bergengsi anu dipasihkeun ka desain alus anu minuhan sarat profésional jeung industri anu diharepkeun tina kréasi anu dirarancang alus. Para juara Beusi nunjukkeun kaahlian anu hébat, spésialisasi anu luhur, pamahaman ahli jeung kamampuh kréatif para kréatorna. Talent Search Alat Panéangan Bakat diharepkeun jadi kréasi anu dihargaan, dikagumi jeung dipikanyaah anu praktis jeung inovatif. Desain juara A' Design Award Beusi ieu ngalebetkeun prakték pangalusna industri sarta ngabogaan ciri téknis anu mampuh pakait jeung pangweruh praktis jeung bakat. Talent Search Alat Panéangan Bakat dihormat pikeun katelitianana sarta dirarancang pikeun méré paningkatan kualitas hirup anu mantuan ngajadikeun dunya tempat nu leuwih hadé.

Di Balik Désain

Kit Pers

Krédit, anggota tim sareng detil téknis anu disayogikeun ku désainer.

Sipat Unik: 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.
Diménsi & Bungkusan: 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.
Tag: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Téknologi Produksi: 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.
Tantangan Desain: 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.
Panalungtikan: 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.
Inspirasi: 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.
Durasi Proyék: 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.
Alur Operasi: 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.
Anggota Tim: Qihang Zhang, Ruijingya Tang
Krédit Gambar: 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