Talent Search Meafaigaluega Sailiga Tusiata e Qihang Zhang and Ruijingya Tang

O le mamanu Talent Search Meafaigaluega Sailiga Tusiata e Qihang Zhang and Ruijingya Tang o se manumalo maualuga tele o le fa'ailoga mamalu 2025 A' Design Award Uʻamea i le Vaega Tauva Mamanu Fa'asavali.

UʻameaFa'asavali· 2025

Talent Search Meafaigaluega Sailiga Tusiata

na mamanuina e Qihang Zhang and Ruijingya Tang

Tagata Fa'atau: Chartmetric

Manumalo o le A' Design Award Uʻamea i le Vaega Fa'asavali

15,182

Manumalo Fa'ailoga Fa'amaonia

Fa'amaonia le Tulaga o le Fa'ailoga mo #168884

Asiasi i le Saite Va'ai i le A' Design Award Fa'asalalauga Pailesi o le Fa'ailoga

Lanu

Le Mamanu

E Uiga ia Talent Search Meafaigaluega Sailiga Tusiata

O le Talent Search o se meafaigaluega i luga o le upega tafaʻilagi mo le sailia o tagata talenia i musika. O lenei meafaigaluega e fesoasoani i tagata faigaluega i le vaega o tusiata ma repertoire e suʻe tagata tusiata faatoʻa tulaʻi mai o loo iai le malosi tele e faʻaopoopo ai. O faʻamatalaga mai le streaming ma social media ua faʻaliliuina i ata faʻaalia manino ma fegalegaleai, faʻatasi ai ma siata, faʻamama, ma faʻasologa. O se faiga lanu faʻamasino e lagolagoina ai le faʻatusatusa vave o fua faatatau o le faatinoga. E faʻaitiitia e le Talent Search le faʻalagolago i sootaga patino a le tagata ma le faʻamasinoga faʻalēmaonia. O le faʻamoemoega o lenei mamanu ia sili atu ona faʻamaonia, sili atu ona lelei le faʻaogaina, ma sili atu ona tatala mo tusiata fou.

Le Fa'ailogaina

E Uiga i le A' Design Award Uʻamea

O le A' Design Award Uʻamea na manumalo ai Talent Search Meafaigaluega Sailiga Tusiata, o se faamaoniga mamalu e tuuina atu i mamanu lelei e faataunuu ai manaʻoga faapolofesa ma pisinisi e faamoemoeina mai galuega ua mamanuina lelei. O ē manumalo i le Uʻamea e faaalia ai le tomai tele, le faapitoa maualuga, le malamalama o tagata poto ma le mafai fatufatuaʻi o ē na faia. E faamoemoeina Talent Search Meafaigaluega Sailiga Tusiata e avea ma mea ua matuā vivii, mataʻina ma pelepelea e aogā ma fou. O lenei mamanu na manumalo i le A' Design Award Uʻamea e tuufaatasia ai faiga sili o le pisinisi ma e iai uiga faatekonolosi mafai ua fesoʻotaʻi ma le poto ma le taleni. Ona o lona faatuatuaina, e tatau ai Talent Search Meafaigaluega Sailiga Tusiata ona faaaloalogia ma ua mamanuina e tuuina mai ai faaleleiga o le olaga e fesoasoani e faia ai e le lalolagi se nofoaga e sili atu ona lelei.

I Tua o le Mamanu

Pepa Fa'asalalau

Fa'amaoniaga, sui o le 'au ma fa'amatalaga fa'atekinisi na saunia e le tagata mamanu.

Uiga Fa'apitoa: 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.
Fua & Fa'apipi'i: 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.
Fa'ailoga: Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
Tekonolosi Gaosiga: 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.
Lu'itau o le Mamanu: 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.
Su'esu'ega: 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.
Fa'aosofia: 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.
Umi o le Poloketi: 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.
Fa'agasologa o Galuega: 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.
Sui o le 'Au: Qihang Zhang, Ruijingya Tang
Fa'aaloaloga o Ata: 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