Дизајн Talent Search Alat za otkrivanje umetnika аутора Qihang Zhang and Ruijingya Tang је високо цењени добитник веома престижне награде 2025 Гвоздена награда A' Design Award у категорији такмичења Дизајн интерфејса, интеракције и корисничког искуства.
ГвозденаИнтерфејс· 2025
Talent Search Alat za otkrivanje umetnika
аутор: Qihang Zhang and Ruijingya Tang
Клијент: Chartmetric
Добитник награде Гвоздена награда A' Design Award у категорији Интерфејс
Верификовани добитник награде
Верификујте статус награде за #168884Дизајн
О дизајну Talent Search Alat za otkrivanje umetnika
Talent Search je veb aplikacija za pronalaženje muzičkih talenata. Alat pomaže stručnjacima za umetnike i repertoar (A&R) da pronađu nove umetnike sa snažnim potencijalom za rast. Podaci sa striming platformi i društvenih mreža se prevode u jasne interaktivne vizualizacije, uz grafikone, filtere i rang-liste. Sistem procene zasnovan na bojama omogućava brzo poređenje pokazatelja učinka. Talent Search smanjuje oslanjanje na lične kontakte i subjektivnu procenu. Cilj dizajna je da procena talenata postane objektivnija, efikasnija i otvorenija za nove umetnike.
Признање
О награди Гвоздена награда A' Design Award
Talent Search Alat za otkrivanje umetnika је добитник Гвоздене награде A' Design Award, престижног признања које се додељује добрим дизајнима који испуњавају професионалне и индустријске захтеве очекиване од добро осмишљених творевина. Добитници Гвоздене награде показују велико умеће, високу специјализацију, стручно разумевање и креативне способности својих твораца. Очекује се да Talent Search Alat za otkrivanje umetnika буде високо цењена, дивљена и вољена творевина која је практична и иновативна. Овај дизајн награђен Гвозденом наградом A' Design Award уграђује најбоље праксе индустрије и има компетентна техничка својства повезана са знањем и талентом. Захваљујући темељности, Talent Search Alat za otkrivanje umetnika заслужује поштовање и осмишљен је да пружи побољшања квалитета живота која помажу да свет буде бољи.
Иза дизајна
Комплет за медије
Заслуге, чланови тима и технички детаљи које је обезбедио дизајнер.
- Јединствене карактеристике
- 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.
- Димензије и паковање
- 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.
- Ознаке
- Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
- Технологија производње
- 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.
- Дизајнерски изазов
- 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.
- Истраживање
- 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. - Инспирација
- 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.
- Трајање пројекта
- 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.
- Ток рада
- 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.
- Чланови тима
- Qihang Zhang, Ruijingya Tang
- Заслуге за фотографије
- 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
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