Talent Search Piranti Panemuan Artis dening Qihang Zhang and Ruijingya Tang

Karya Talent Search Piranti Panemuan Artis dening Qihang Zhang and Ruijingya Tang minangka pemenang sing diajeni banget saka A' Design Award Wesi 2025 sing bergengsi ing Kategori Kompetisi Desain Antarmuka, Interaksi lan Pengalaman Pangguna.

WesiAntarmuka· 2025

Talent Search Piranti Panemuan Artis

dening Qihang Zhang and Ruijingya Tang

Klien: Chartmetric

Pemenang A' Design Award Wesi ing Kategori Antarmuka

14,835

Pemenang Penghargaan Terverifikasi

Verifikasi Status Penghargaan kanggo #168884

Kunjungi Situs Deleng ing A' Design Award Siaran Pers Lencana Penghargaan

Warna

Desaine

Babagan Talent Search Piranti Panemuan Artis

Talent Search minangka piranti basis web kanggo nggoleki bakat musik. Piranti iki mbantu profesional artist and repertoire nemokake artis anyar sing duwe potensi tuwuh sing kuwat. Data streaming lan media sosial diowahi dadi visualisasi interaktif sing cetha, kanthi grafik, filter, lan pemeringkatan. Sistem werna evaluatif ndhukung pambandhingan cepet kanggo metrik kinerja. Talent Search nyuda gumantung marang jaringan pribadi lan penilaian subyektif. Desain iki nduweni tujuan supaya evaluasi bakat luwih objektif, luwih efisien, lan luwih mbukak kanggo artis-artis anyar.

Pangakuan

Babagan A' Design Award Wesi

Talent Search Piranti Panemuan Artis menang A' Design Award Wesi, pangenalan sing prestisius sing diparingake marang desain sing apik sing nyukupi kabutuhan profesional lan industri sing dikarepake saka ciptaan sing dirancang kanthi apik. Pemenang Wesi nuduhake katrampilan sing gedhe, spesialisasi sing dhuwur, pangerten ahli lan kapasitas kreatif para penciptane. Talent Search Piranti Panemuan Artis dikarepake dadi ciptaan sing dihargai banget, dikagumi lan ditresnani sing praktis lan inovatif. Desain sing menang A' Design Award Wesi iki nggabungake praktik industri sing paling apik lan nduweni ciri teknis sing kompeten sing disambung karo kawruh lan bakat. Talent Search Piranti Panemuan Artis diajeni amarga ketelitiane lan dirancang kanggo nyedhiyakake paningkatan kualitas urip sing mbiyantu ndadekake donya panggonan sing luwih apik.

Ing Mburi Desain

Kit Pers

Kredit, anggota tim lan detail teknis sing diwenehake dening desainer.

Sifat 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.
Ukuran & Kemasan: 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
Teknologi 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.
Riset: 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 Proyek: 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
Kredit 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