Talent Search শিল্পী আৱিষ্কাৰ সঁজুলি by Qihang Zhang and Ruijingya Tang is a highly esteemed winner of the very prestigious 2025 A' Design Award লৌহ বঁটা in ইণ্টাৰফেচ, ইণ্টাৰেকশ্বন আৰু ব্যৱহাৰকাৰী অভিজ্ঞতা ডিজাইন Competition Category.
লৌহইণ্টাৰফেচ· 2025
Talent Search শিল্পী আৱিষ্কাৰ সঁজুলি
by Qihang Zhang and Ruijingya Tang
Client: Chartmetric
A' Design Award লৌহ বঁটা Winner in ইণ্টাৰফেচ Category
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The Design
About Talent Search শিল্পী আৱিষ্কাৰ সঁজুলি
টেলেণ্ট চাৰ্চ হৈছে সংগীত প্ৰতিভা বিচাৰি উলিওৱাৰ বাবে এক ৱেব-ভিত্তিক সঁজুলি। এই সঁজুলিটোৱে আৰ্টিষ্ট আৰু ৰিপাৰ্টৱাৰ পেছাদাৰীসকলক শক্তিশালী বৃদ্ধিৰ সম্ভাৱনা থকা নতুনকৈ ওলাই অহা শিল্পীসকল বিচাৰি উলিয়াবলৈ সহায় কৰে। ষ্ট্ৰিমিং আৰু ছ'চিয়েল মিডিয়াৰ তথ্যক চাৰ্ট, ফিল্টাৰ আৰু ৰেংকিঙৰ সহায়ত স্পষ্ট আৰু ইণ্টাৰেক্টিভ ভিজুৱেলাইজেছনলৈ ৰূপান্তৰিত কৰা হয়। এক মূল্যায়নমূলক ৰং ব্যৱস্থাই কাৰ্যক্ষমতাৰ মাপকাঠীসমূহৰ দ্ৰুত তুলনাত সহায় কৰে। টেলেণ্ট চাৰ্চে ব্যক্তিগত নেটৱৰ্ক আৰু বিষয়ীগত বিচাৰৰ ওপৰত নিৰ্ভৰশীলতা হ্ৰাস কৰে। এই ডিজাইনৰ লক্ষ্য হৈছে প্ৰতিভা মূল্যায়ন প্ৰক্ৰিয়াটো অধিক বস্তুনিষ্ঠ, অধিক ফলপ্ৰসূ আৰু নতুন শিল্পীৰ বাবে অধিক মুক্ত কৰি তোলা।
The Recognition
About the A' Design Award লৌহ বঁটা
Talent Search শিল্পী আৱিষ্কাৰ সঁজুলি A' Design Award লৌহ বঁটাৰ বিজয়ী, যি সুন্দৰকৈ ডিজাইন কৰা সৃষ্টিৰ পৰা প্ৰত্যাশিত পেছাদাৰ আৰু শিল্পগত প্ৰয়োজনীয়তা পূৰণ কৰা ভাল ডিজাইনক প্ৰদত্ত এক সন্মানজনক স্বীকৃতি। লৌহ বিজয়ীসকলে সিহঁতৰ স্ৰষ্টাসকলৰ বিপুল দক্ষতা, উচ্চ বিশেষীকৰণ, বিশেষজ্ঞসুলভ উপলব্ধি আৰু সৃজনশীল সামৰ্থ্য প্ৰদৰ্শন কৰে। Talent Search শিল্পী আৱিষ্কাৰ সঁজুলি এক অতি সমাদৃত, প্ৰশংসিত আৰু প্ৰিয় সৃষ্টি হোৱাৰ আশা কৰা হয়, যি ব্যৱহাৰিক আৰু উদ্ভাৱনী। A' Design Award লৌহ বঁটা জয় কৰা এই ডিজাইনে শিল্পখণ্ডৰ শ্ৰেষ্ঠ অনুশীলন সমন্বিত কৰে আৰু জ্ঞান আৰু প্ৰতিভাৰ সৈতে সংযুক্ত দক্ষ প্ৰযুক্তিগত বৈশিষ্ট্য ধাৰণ কৰে। Talent Search শিল্পী আৱিষ্কাৰ সঁজুলি ইয়াৰ পুংখানুপুংখতাৰ বাবে সন্মানিত আৰু বিশ্বখনক অধিক ভাল ঠাই কৰি তুলিবলৈ সহায় কৰা জীৱনৰ মান উন্নয়ন প্ৰদানৰ বাবে ডিজাইন কৰা।
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- 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.
- Dimensions & Packaging
- 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.
- Tags
- Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
- Production Technology
- 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.
- Design Challenge
- 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.
- Research
- 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. - Inspiration
- 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.
- Project Duration
- 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.
- Operation Flow
- 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.
- Team Members
- Qihang Zhang, Ruijingya Tang
- Image Credits
- 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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