Before diving into the design process, we need to understand how A.I. works.
We interviewed 6 people who worked as social media managers and strategists with the age ranging from 25 to 42. All the interviewees had already used the beta version of Fasta.ai but they did not like to use it.
Digging into all of the user feedback and research, we summarized the key user problems. Here are the quotes from users and the persona summarized from the research:
When developing the prototypes, we constantly discussed with the data science team to explore options that could build an efficient tagging flow within the technical constraints. From the designer’s standpoint, our goal is to give users the freedom and flexibility to get the feed from social media by themselves and also allow them to apply any A.I. model to analyze those feeds.
In the beginning, because of the technical constraints, users could only scrape data on request through emailing us, and then we set the scraping task for them in their accounts.
Later, users can scrape data by themselves but not yet able to apply an A.I. model to the data. From a business and development standpoint, it would be beneficial to roll out the feature soon than later. While the development team was still working on the feature of applying an A.I model to the data, we built a dashboard that helps users transferring to the new features that would be rolled out in the near future.
After the full development of the AI model feature, we developed a prototype for users to set a monitor that could scrape data and apply A.I. model flexibly.