CSA, Sentiment-based decision support Platform for crypto-currency trading
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CSA, Sentiment-based decision support Platform for crypto-currency trading
EIT Digital, European Research Project
As a partner of the CSA-Crypto Sentiment Advisor (an EIT research project), Experientia co-designed a web-based dashboard to inform better decisions in the crypto market.
Leveraging traders’ individual level of expertise, the solution aims to mitigate risk
by using real-time community sentiment data.
3 things to know
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Understand the habits of cryptotraders
By interviewing cryptotrading experts and cryptotraders with different levels of experience, we were able to understand their habits, their sources of information, and the web platforms currently most used by those who invest in cryptocurrencies.
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Define the value proposition
Using co-design methodology we worked with other project partners to identify a USP and the platform's MVP: a dashboard to inform better decisions in the crypto market by using real-time community sentiment data.
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Design and validate the MVP solution
Based on the results of the research and the co-design work done with the project partners, we designed the UX/UI of the platform, validated it with user interviews, and defined web development specifications.
Research insights
Co-design Miro board
Wireframes
XD prototype
User interface
In-depth
Context As a partner of the CSA-Crypto Sentiment Advisor (an EIT research project), Experientia co-designed a web-based dashboard to inform better decisions in the crypto market. Leveraging traders’ individual level of expertise, the solution aims to mitigate risk by using real-time community sentiment data.
Challenge The platform is based on a sentiment analysis model for cryptocurrency using advanced machine learning methods. Investors can use the signals to manage volatile phases of their portfolio to be well positioned in difficult times. During the research phase, Experientia conducted research interviews with lead users and led co-design activities with project partners to identify the Value proposition and the MVP functionalities. In the design phase, we designed the dashboard prototype and validated it with potential users. Research During the “early bird period” November-December 2020 Experientia research team conducted remote stakeholder interviews. The in-depth interviews allowed us to investigate the research question from a broad, comprehensive perspective. The main objective of the research was to investigate and identify opportunities for helping cryptotraders with sentiment-analysis tool. Model At the beginning of 2021 Experientia conducted 2 workshop with all the partners. We shared insights from the stakeholders and user research phase to inform and define the value proposition. Through participatory and co-design methodologies we facilitated the development of the next phases as well as conducted UX concept ideation activities. Design Experientia utilized findings from research to frame and define solutions for the design phase. In particular we design and validate the HI-fi prototype of the Sentiment-based decision support Platform for crypto-trading.
Challenge
The platform is based on a sentiment analysis model for cryptocurrency using advanced machine learning methods. Investors can use the signals to manage volatile phases of their portfolio to be well positioned in difficult times. During the research phase, Experientia conducted research interviews with lead users and led co-design activities with project partners to identify the Value proposition and the MVP functionalities. In the design phase, we designed the dashboard prototype and validated it with potential users.
Research
During the “early bird period” November-December 2020 Experientia research team conducted remote stakeholder interviews. The in-depth interviews allowed us to investigate the research question from a broad, comprehensive perspective. The main objective of the research was to investigate and identify opportunities for helping cryptotraders with sentiment-analysis tool.
Model
At the beginning of 2021 Experientia conducted 2 workshop with all the partners. We shared insights from the stakeholders and user research phase to inform and define the value proposition. Through participatory and co-design methodologies we facilitated the development of the next phases as well as conducted UX concept ideation activities.
Design
Experientia utilized findings from research to frame and define solutions for the design phase. In particular we design and validate the HI-fi prototype of the Sentiment-based decision support Platform for crypto-trading.
