Magic Trio ᱨᱮᱱᱟᱜ Insightnest ᱡᱤᱱᱤᱥ ᱥᱟᱯᱲᱟᱣ ᱮᱯ ᱫᱚ ᱥᱚᱯᱷᱴᱣᱮᱭᱟᱨ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2024 A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱞᱚᱦᱟᱥᱚᱯᱷᱴᱣᱮᱭᱟᱨ· 2024
Insightnest ᱡᱤᱱᱤᱥ ᱥᱟᱯᱲᱟᱣ ᱮᱯ
Magic Trio ᱞᱮᱠᱟᱛᱮ
ᱥᱚᱯᱷᱴᱣᱮᱭᱟᱨ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#157317 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
Insightnest ᱡᱤᱱᱤᱥ ᱥᱟᱯᱲᱟᱣ ᱮᱯ ᱵᱟᱵᱚᱛ ᱛᱮ
ᱤᱱᱥᱟᱭᱴᱱᱮᱥᱴ ᱫᱚ ᱮᱭᱟᱭ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱛᱮ ᱡᱤᱱᱤᱥ ᱥᱟᱯᱲᱟᱣ ᱥᱚᱦᱚᱡᱮᱭ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱟᱭᱢᱟ ᱡᱟᱜᱟ ᱟᱨ ᱯᱷᱟᱭᱤᱞ ᱯᱷᱚᱨᱢᱮᱴ ᱠᱷᱚᱱ ᱰᱟᱴᱟ ᱡᱟᱣᱮᱭ, ᱧᱮᱞ ᱥᱮᱸᱫᱽᱨᱟᱭ ᱟᱨ ᱦᱟᱹᱴᱤᱧᱮᱭ᱾ ᱱᱤᱡᱚᱨᱟᱜ ᱥᱟᱡᱟᱣ ᱟᱨ ᱮᱭᱟᱭ-ᱛᱮᱭᱟᱨ ᱡᱤᱱᱤᱥ ᱠᱷᱟᱴᱚ ᱥᱟᱶᱛᱮ, ᱱᱚᱶᱟ ᱫᱚ ᱡᱤᱱᱤᱥ ᱵᱮᱵᱷᱟᱨ ᱟᱨ ᱛᱮᱭᱟᱨ ᱨᱮ ᱠᱟᱹᱢᱤᱦᱚᱨᱟ ᱟᱨ ᱥᱤᱨᱡᱚᱱ ᱫᱟᱲᱮ ᱵᱟᱹᱲᱛᱤᱭᱟᱭ, ᱟᱨ ᱵᱮᱵᱷᱟᱨᱤᱭᱟᱹ ᱠᱚᱣᱟᱜ ᱵᱚᱫᱚᱞᱚᱜ ᱞᱟᱹᱠᱛᱤ ᱠᱚ ᱯᱩᱨᱟᱹᱣᱮᱭ᱾
ᱢᱟᱱᱟᱱ
A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
Insightnest ᱡᱤᱱᱤᱥ ᱥᱟᱯᱲᱟᱣ ᱮᱯ ᱫᱚ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Insightnest ᱡᱤᱱᱤᱥ ᱥᱟᱯᱲᱟᱣ ᱮᱯ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- The project offers a unique, personalized system for efficient content management and creation. It enables users to aggregate, analyze, and categorize content from various sources and file types. Users can organize data manually or automatically and benefit from AI-driven content summarization and trend analysis. This platform serves as a comprehensive tool for managing the entire information lifecycle, enhancing productivity and fostering creativity in content consumption and generation.
- ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ
- 1512px * 982px, Web App, Web Extension
- ᱴᱮᱜ ᱠᱚ
- AI, UX, SaaS
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- Insightnest is driven by advanced AI algorithms, natural language processing (NLP), machine learning models, and big data analytics. Leveraging cloud computing infrastructure, our system employs distributed computing to handle large-scale content aggregation and analysis efficiently. The development process involved rigorous testing and refinement of algorithms to ensure accuracy in content categorization, summarization, and trend analysis. Methodologies such as agile development facilitated iterative improvements, allowing for seamless integration of user feedback and continuous enhancement of features. Ultimately, Insightnest represents a sophisticated fusion of cutting-edge technologies aimed at revolutionizing content management and creation.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- We encountered the challenge of managing users' unrealistic expectations for the new AI tool. We closely coordinated with our development team to refine our solutions. User testing revealed that the complexity of AI processing led to a steep learning curve. This highlighted the need for an effective onboarding strategy and educational materials to demystify AI functionalities. Our focus shifted to simplifying user experience and enhancing understanding of AI processes.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- Our research focuses on using AI to simplify daily tasks. Initial user research assessed perceptions of AI tools, guiding feature development in collaboration with developers. Competitor analysis provided market insights, helping to distinguish our product's unique value. User testing was conducted to gauge user response. These insights emphasized the importance of a user-friendly interface and effective onboarding, highlighting the role of UX design in creating an intuitive platform.
- ᱯᱨᱮᱨᱚᱱᱟ
- Inspired by the information overload and fear of missing out in the digital age, this project aims to be a cyber secretary, organizing and concentrating valuable data for easy retrieval. It goes beyond typical AI platforms by integrating an AI chatbox for specific requests and AI-generated content recommendations. User research and prototype testing have refined the interface, creating a user-friendly AI tool for efficient information management and personalized content delivery.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- The project started in November 2023 in New York City and Seattle and started the development in December 2023.
- ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- Users first save diverse content to the platform, including uploads from local devices, screenshots, and web links. The platform then assists in organizing this content by processing the content in the background, offering additional support when needed. Users can easily retrieve content by searching with keywords or interacting with a chatbot. As the user's content library grows, the AI recommends related material, tailored to their interests and activities.
- ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ
- UX Designer: Yuanyuan (Nicole) Song
UX Designer: Mingjia (Joyce) Yu
UX Designer: Xiyan (Christine) Wang - ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ
- UX Designer: Yuanyuan (Nicole) Song
UX Designer: Mingjia (Joyce) Yu
UX Designer: Xiyan (Christine) Wang
ᱥᱯᱚᱱᱥᱚᱨᱰ
Designers.org ᱠᱷᱚᱱ ᱯᱟᱨᱚᱢ ᱛᱟᱞᱟᱥ
ᱟᱞᱮᱭᱟᱜ ᱵᱤᱜᱽᱭᱟᱯᱚᱱ ᱥᱟᱹᱜᱟᱹᱭ ᱠᱚ ᱠᱷᱚᱱ ᱯᱨᱚᱰᱟᱠᱴ, ᱥᱮᱵᱟ ᱟᱨ ᱢᱚᱠᱟ ᱩᱫᱩᱜ ᱢᱮ᱾
ᱟᱨᱦᱚᱸ ᱠᱷᱚᱡ ᱢᱮ
ᱥᱟᱹᱜᱟᱹᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ
ᱢᱤᱫ ᱞᱮᱠᱟ ᱠᱮᱴᱮᱜᱚᱨᱤ ᱠᱷᱚᱱ ᱟᱨᱦᱚᱸ ᱯᱩᱨᱥᱠᱟᱨ ᱧᱟᱢᱟᱠᱟᱱ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱧᱮᱞ ᱢᱮ, ᱡᱚᱜᱭᱟᱛᱟ ᱧᱮᱞ ᱛᱮ ᱵᱟᱪᱷᱟᱣ ᱟᱠᱟᱱᱟ᱾
