ዲዛይን Talent Search ናይ ስነ-ጥበባዊ ምርካብ መሳርሒ ብ Qihang Zhang and Ruijingya Tang ኣብ ናይ ውድድር ምድብ ንድፊ ኢንተርፌስ፣ ምትእስሳርን ተመኲሮ ተጠቃምን ኣዝዩ ዝኸበረ ተሸላማይ ናይ 2025 ናይ ሓጺን ሽልማት A' Design Award እዩ።
ሓጺንኢንተርፌስ· 2025
Talent Search ናይ ስነ-ጥበባዊ ምርካብ መሳርሒ
ብ Qihang Zhang and Ruijingya Tang
ዓሚል: Chartmetric
ኣብ ምድብ ኢንተርፌስ ተሸላማይ ናይ ሓጺን ሽልማት A' Design Award
ዝተረጋገጸ ተሸላማይ
ንቁጽሪ #168884 ሽልማት ኣረጋግጽእቲ ዲዛይን
ብዛዕባ Talent Search ናይ ስነ-ጥበባዊ ምርካብ መሳርሒ
ታለንት ሰርች ኣብ ዌብ ዝተመስረተ መሳርሒ ንፍልጠት ናይ ሙዚቃ ተውህቦ ምድላይ እዩ። እዚ መሳርሒ ንሞያውያን ስነ-ጥበብን ድርሰትን ሓገዝ ብምሃብ፡ ሓያል ናይ ዕቤት ተኽእሎ ዘለዎም ብቁጽሪ ዝውስኹ ስነ-ጥበባውያን ንኽረኽቡ ይሕግዝ። ናይ ስትሪሚንግን ማሕበራዊ ሚድያን ዳታ ናብ ንጹር ኢንተራክቲቭ ራእያዊ ምርኢት፡ ብቻርትታት፡ ፍልተራትን ደረጃታትን ይትርጎም። ሓደ ገምጋማዊ ስርዓት ሕብሪ ድማ ቅልጡፍ ንጽጽር ናይ ኣፈጻጽማ መለክዒታት ይድግፍ። ታለንት ሰርች ኣብ ውልቃዊ መርበባትን ተጻዋርነታውን ፍርዲ ምርኮሳ ይንኪ። እቲ ንድፊ ንግምጋም ተውህቦ ዝያዳ ሓቀኛ፡ ዝያዳ ውጽኢታውን ንሓደስቲ ስነ-ጥበባውያን ዝኸፍትን ንምግባር ዕላማ ገይሩ ኣሎ።
እቲ ኣፍልጦ
ብዛዕባ ናይ ሓጺን ሽልማት A' Design Award
Talent Search ናይ ስነ-ጥበባዊ ምርካብ መሳርሒ ናይ ሓጺን ሽልማት A' Design Award ዝዓወተ እዩ፣ ካብ ጽቡቕ ዝተዳለዉ ፍጥረታት ዝጽበዩ ሞያውን ኢንዱስትሪኣውን ጠለባት ንዝመላኡ ጽቡቓት ዲዛይናት ዝወሃብ ክቡር ኣፍልጦ። ዘዓወቱ ሓጺን ዓቢ ክእለት፣ ልዑል ፍሉይነት፣ ክኢላዊ ርድኢትን ፈጠራዊ ዓቕምን ፈጣርዮም የርእዩ። Talent Search ናይ ስነ-ጥበባዊ ምርካብ መሳርሒ ብብዙሕ ዝተመነየ፣ ዝደነቐን ዝፈተዎን፣ ተግባራውን ሓድሽን ፍጥረት ክኾን ይጽበ። እዚ ዝዓወተ ዲዛይን ናይ ሓጺን ሽልማት A' Design Award ንዝበለጹ ልምድታት ኢንዱስትሪ የጣምር፣ ምስ ፍልጠትን ተውህቦን ዝተኣሳሰሩ ብቑዓት ቴክኒካውያን ባህርያት ድማ ኣለዎ። Talent Search ናይ ስነ-ጥበባዊ ምርካብ መሳርሒ ብጥንቃቐኡ ይኽበር፣ ንዓለም ዝሓሸ ቦታ ክትኸውን ዝሕግዙ ምምሕያሻት መዓርግ ህይወት ንምቕራብ ድማ ዝተዳለወ እዩ።
ድሕሪ እቲ ዲዛይን
ናይ ፕረስ ኪት
ክረዲትታት፣ ኣባላት ጋንታን ቴክኒካዊ ዝርዝራትን ብዲዛይነር ዝቐረቡ።
- ፍሉያት ባህርያት
- 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.
- ዓቐንን ማዕሸግን
- 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.
- መለለዪታት
- Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
- ናይ ምፍራይ ቴክኖሎጂ
- 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.
- ናይ ዲዛይን ብድሆ
- 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.
- ምርምር
- 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. - ምንጪ ሓሳብ
- 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.
- ናይ ፕሮጀክት ግዜ
- 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.
- ናይ ስርሒት ፍሰት
- 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.
- ኣባላት ጋንታ
- Qihang Zhang, Ruijingya Tang
- ናይ ስእሊ ክረዲት
- 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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ካብ ናይ ማስታወቂያ መሻርኽትና ፍርያት፣ ኣገልግሎታትን ዕድላትን ፍለጥ።
ተወሳኺ ንምርካብ
ተዛመድቲ ዲዛይናት
ካብ ተመሳሳሊ ምድብ ብብቕዓት ዝተመረጹ ተወሳኺ ሽልማት ዝተዓወቱ ዲዛይናት ድለዩ።
