Is buaiteoir an-mheasúil den ghradam fíor-ardghradamach 2025 Duais Iarainn A' Design Award sa Chatagóir Comórtais Dearadh Comhéadain é an dearadh Talent Search Uirlis Fionnachtana Ealaíontóirí le Qihang Zhang and Ruijingya Tang.
IarannComhéadan· 2025
Talent Search Uirlis Fionnachtana Ealaíontóirí
le Qihang Zhang and Ruijingya Tang
Cliant: Chartmetric
Buaiteoir an ghradaim Duais Iarainn A' Design Award sa Chatagóir Comhéadan
Buaiteoir Gradaim Fíoraithe
Fíoraigh Stádas Gradaim do #168884An Dearadh
Maidir le Talent Search Uirlis Fionnachtana Ealaíontóirí
Is uirlis bunaithe ar an ngréasán é Talent Search do chuardach tallainne ceoil. Cuidíonn an uirlis le gairmithe ealaíontóirí agus repertoire ealaíontóirí atá ag teacht chun cinn a bhfuil acmhainneacht fáis láidir acu a aimsiú. Aistrítear sonraí sruthú agus meáin shóisialta go léirshamhlúcháin idirghníomhacha shoiléire, le cairteacha, scagairí agus rangaithe. Tacaíonn córas datha meastóireachta le comparáid thapaidh ar mhéadrachtaí feidhmíochta. Laghdaíonn Talent Search an spleáchas ar líonraí pearsanta agus ar bhreithiúnas suibiachtúil. Tá sé mar aidhm ag an dearadh meastóireacht tallainne a dhéanamh níos oibiachtúla, níos éifeachtaí agus níos oscailte d'ealaíontóirí nua.
An Aitheantas
Maidir leis an Duais Iarainn A' Design Award
Bhuaigh an dearadh Talent Search Uirlis Fionnachtana Ealaíontóirí Duais Iarainn A' Design Award, aitheantas gradamach a bhronntar ar dhea-dhearaí a chomhlíonann na riachtanais ghairmiúla agus thionsclaíocha a bhíonn á n-éileamh ó chruthuithe a ndearnadh go maith iad. Léiríonn buaiteoirí Iarainn scil mhór, speisialtóireacht ard, tuiscint saineolaí agus cumas cruthaitheach a gcruthaitheoirí. Táthar ag súil go mbeidh an dearadh Talent Search Uirlis Fionnachtana Ealaíontóirí ina chruthú a bhfuil an-mheas air, a n-ardaítear agus a ghráitear atá praiticiúil agus nuálach. Comhtháthaíonn an dearadh seo a bhuaigh Duais Iarainn A' Design Award na cleachtais is fearr sa tionscal agus tá saintréithe teicniúla inniúla aige nasctha le heolas agus le tallann. Tá meas ar an dearadh Talent Search Uirlis Fionnachtana Ealaíontóirí as a dhúthracht agus dearadh é chun feabhsuithe cáilíochta beatha a sholáthar a chabhraíonn leis an domhan a dhéanamh ina áit níos fearr.
Taobh Thiar den Dearadh
Pacáiste Preasa
Creidiúintí, baill foirne agus sonraí teicniúla curtha ar fáil ag an dearthóir.
- Airíonna Uathúla
- 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.
- Toisí & Pacáistiú
- 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.
- Clibeanna
- Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
- Teicneolaíocht Táirgthe
- 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.
- Dúshlán Deartha
- 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.
- Taighde
- 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. - Inspioráid
- 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.
- Fad an Tionscadail
- 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.
- Sreabhadh Oibríochta
- 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.
- Baill Foirne
- Qihang Zhang, Ruijingya Tang
- Creidiúintí Íomhá
- 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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