Qihang Zhang and Ruijingya Tang tomonidan Talent Search Sanʼatkorlarni Kashf Etish Vositasi

Qihang Zhang and Ruijingya Tang tomonidan yaratilgan Talent Search Sanʼatkorlarni Kashf Etish Vositasi — Interfeys, Interaktiv va Foydalanuvchi Tajribasi Dizayni tanlov toifasida nufuzli 2025 A' Design Award Temir Mukofoti mukofotining yuqori baholangan g'olibidir.

TemirInterfeys· 2025

Talent Search Sanʼatkorlarni Kashf Etish Vositasi

muallif: Qihang Zhang and Ruijingya Tang

Mijoz: Chartmetric

Interfeys toifasida A' Design Award Temir Mukofoti g'olibi

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Dizayn

Talent Search Sanʼatkorlarni Kashf Etish Vositasi haqida

Talent Search — musiqiy iqtidorlarni izlash uchun mo‘ljallangan veb-asosli vositadir. Ushbu vosita artist va repertuar bo‘yicha mutaxassislarga kuchli o‘sish salohiyatiga ega bo‘lgan yangi ijodkorlarni topishga yordam beradi. Striming va ijtimoiy tarmoq ma’lumotlari diagrammalar, filtrlar va reytinglar orqali aniq va interaktiv vizualizatsiyalarga aylantiriladi. Baholovchi rang tizimi ko‘rsatkichlarni tezkor solishtirish imkonini beradi. Talent Search shaxsiy aloqalar tarmog‘i va subyektiv fikrlarga bog‘liqlikni kamaytiradi. Dizayn iqtidorni baholash jarayonini yanada obyektiv, samarali va yangi ijodkorlarga ochiq qilishga qaratilgan.

Tan olinish

A' Design Award Temir Mukofoti haqida

Talent Search Sanʼatkorlarni Kashf Etish Vositasi A' Design Award Temir Mukofotining g‘olibi bo‘lib, bu yaxshi loyihalangan ijodlardan kutiladigan kasbiy va sanoat talablariga javob beradigan yaxshi dizaynlarga beriladigan nufuzli e’tirofdir. Temir g‘oliblari o‘z yaratuvchilarining katta mahorati, yuksak ixtisosligi, mutaxassis tushunchasi va ijodiy salohiyatini namoyon etadi. Talent Search Sanʼatkorlarni Kashf Etish Vositasi yuqori qadrlanadigan, hayrat bilan qaraladigan va suyukli, amaliy hamda innovatsion ijod bo‘lishi kutiladi. A' Design Award Temir Mukofotini qo‘lga kiritgan ushbu dizayn soha eng yaxshi amaliyotlarini uyg‘unlashtiradi va bilim hamda iste’dod bilan bog‘langan layoqatli texnik xususiyatlarga ega. Talent Search Sanʼatkorlarni Kashf Etish Vositasi puxtaligi uchun hurmatga sazovor bo‘lib, dunyoni yaxshiroq joyga aylantirishga yordam beradigan hayot sifatini yaxshilashni taqdim etish uchun loyihalangan.

Dizayn ortida

Press-kit

Dizayner tomonidan taqdim etilgan kreditlar, jamoa a'zolari va texnik tafsilotlar.

Noyob xususiyatlar: 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.
O'lchamlar va qadoqlash: 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.
Teglar: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Ishlab chiqarish texnologiyasi: 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.
Dizayn muammosi: 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.
Tadqiqot: 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.
Ilhom: 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.
Loyiha muddati: 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.
Ish jarayoni: 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.
Jamoa a'zolari: Qihang Zhang, Ruijingya Tang
Rasm mualliflari: 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