Talent Search Alaik Panamuan Artis by Qihang Zhang and Ruijingya Tang

Talent Search Alaik Panamuan Artis by Qihang Zhang and Ruijingya Tang is a highly esteemed winner of the very prestigious 2025 A' Design Award Basi in Antarmuka Competition Category.

BasiAntarmuka· 2025

Talent Search Alaik Panamuan Artis

by Qihang Zhang and Ruijingya Tang

Client: Chartmetric

A' Design Award Basi Winner in Antarmuka Category

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Verified Award Winner

Verify Award Status for #168884

Visit Site View at A' Design Award Press Release Award Badge

Colors

The Design

About Talent Search Alaik Panamuan Artis

Talent Search marupokan alaik babasis web untuak pancarian bakat musik. Alaik ko mambantu profesional artist and repertoire (A&R) untuak manamuan artis baru nan mampunyoi potensi pertumbuahan nan kuek. Data streaming jo media sosial ditarjamahkan manjadi visualisasi interaktif nan jaleh, langkok jo grafik, filter, sarato pemeringkatan. Sistem warna evaluatif mandukuang perbandiangan capek untuak metrik performa. Talent Search mangurangi katergantuangan kapado jaringan pribadi jo penilaian subjektif. Rancangan ko batujuan untuak manjadian evaluasi bakat labiah objektif, labiah efisien, sarato labiah taruko taradok artis-artis baru.

The Recognition

About the A' Design Award Basi

Talent Search Alaik Panamuan Artis adolah pamenang A' Design Award Basi, sabuah pangakuan nan bapresti nan dibarikan ka rancangan nan elok nan mamanuhi kaparluan profesional jo industri nan dipaokan dari ciptaan nan dirancang jo elok. Pamenang Basi mamparlihatkan kamahiran nan gadang, spesialisasi nan tinggi, pamahaman pakar jo kapasitas kreatif panciptanyo. Talent Search Alaik Panamuan Artis dipaokan manjadi ciptaan nan sangaik dihormati, dikagumi jo disayangi, nan praktis jo inovatif. Rancangan nan manang Basi iko mamasukkan praktik tabaik industri jo punyo ciri teknis nan cakap nan bapautan jo ilimu jo bakaik. Talent Search Alaik Panamuan Artis dihormati karano katalitiannyo jo dirancang untuak maningkekkan kualitas hiduik jo mambantu manjadikan dunia tampek nan labiah elok.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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.
Dimensions & Packaging: 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.
Tags: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: 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.
Operation Flow: 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.
Team Members: Qihang Zhang, Ruijingya Tang
Image Credits: 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