Dizayini ya Talent Search Chida Chosaka Ojambula ndi Qihang Zhang and Ruijingya Tang ndi wopambana wotamandika kwambiri pa mphotho yaulemu ya 2025 Mphoto ya Chitsulo ya A' Design Award mu Gawo la Mpikisano la Mapangidwe a Mawonekedwe, Kulumikizana ndi Zokumana ndi Ogwiritsa Ntchito.
ChitsuloMawonekedwe· 2025
Talent Search Chida Chosaka Ojambula
ndi Qihang Zhang and Ruijingya Tang
Kasitomala: Chartmetric
Wopambana pa Mphoto ya Chitsulo ya A' Design Award mu Gawo la Mawonekedwe
Wopambana Wotsimikizidwa
Tsimikizani Mkhalidwe wa Mphotho ya #168884Kapangidwe
Za Talent Search Chida Chosaka Ojambula
Talent Search ndi chida chapa intaneti chosakira ojambula anzeru pa nyimbo. Chidachi chimathandiza akatswiri a artist and repertoire (A&R) kupeza ojambula atsopano omwe ali ndi mwayi waukulu wokula. Deta ya streaming ndi ya social media imasandulizidwa kukhala zithunzi zomveka bwino komanso zogwirizana, zokhala ndi ma chart, zosefera, ndi ndandanda za maulendo. Njira ya mitundu yoyesera imathandizira kufananiza mwachangu miyeso ya kuchita bwino. Talent Search imachepetsa kudalira maukonde a anthu payekha ndi maganizo a munthu payekha. Kapangidwe kameneka kali ndi cholinga chopangitsa kuyesa kwa luso kukhala kosakondera, kothandiza kwambiri, komanso kotseguka kwa ojambula atsopano.
Chidziwitso
Za Mphoto ya Chitsulo ya A' Design Award
Talent Search Chida Chosaka Ojambula ndi mmodzi mwa opambana a Mphoto ya Chitsulo ya A' Design Award, kuzindikirika kolemekezeka komwe kumaperekedwa kwa mapangidwe abwino omwe amakwaniritsa zofunika za akatswiri ndi za makampani zomwe zimayembekezeka kuchokera ku zolengedwa zopangidwa bwino. Opambana a Chitsulo amaonetsa luso lalikulu, ukatswiri wapamwamba, kumvetsetsa kwa akatswiri ndi mphamvu yolenga ya opanga awo. Talent Search Chida Chosaka Ojambula akuyembekezeka kukhala cholengedwa choyamikiridwa kwambiri, chosirira ndi chokondedwa chomwe ndi chothandiza ndi chatsopano. Mapangidwe opambana Mphoto ya Chitsulo ya A' Design Award awa amaphatikiza machitidwe abwino kwambiri a makampani ndipo ali ndi makhalidwe a ukadaulo oyenerera olumikizidwa ndi chidziwitso ndi luso. Talent Search Chida Chosaka Ojambula amalemekezedwa chifukwa cha kusamala kwake ndipo anapangidwa kuti apereke kukonza kwa moyo kumene kumathandiza kusandutsa dziko kukhala malo abwino.
Kumbuyo kwa Kapangidwe
Katundu wa Atolankhani
Umboni, mamembala a gulu ndi zambiri zapadera zoperekedwa ndi wopanga.
- Makhalidwe Apadera
- 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.
- Miyezo ndi Kuphimba
- 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.
- Zizindikiro
- Talent scouting, emerging artists, music analytics, data-driven A&R, streaming insights, social media analysis, artist discovery, music industry tool, performance metrics, data visualization
- Teknoloji Yopangira
- 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.
- Vuto la Dizayini
- 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.
- Kafukufuku
- 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. - Chilimbikitso
- 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.
- Nthawi ya Polojekiti
- 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.
- Mdondomeko ya Ntchito
- 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.
- Mamembala a Gulu
- Qihang Zhang, Ruijingya Tang
- Mwini Zithunzi
- 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
Zolipidwa
Fufuzani Kupitilira Designers.org
Onani zinthu, ntchito ndi mwayi kuchokera kwa ogulitsa athu aulaliki.
Zina Zofufuza
Mapangidwe Ofanana
Fufuzani mapangidwe ena opambana mphotho ochokera mu gulu lomweli, osankhidwa malinga ndi ukadaulo.
