Lead Product Designer & Researcher
I designed the user experience for a new AI-aided service, collaborating closely with the Business and Product Owners, Machine Learning team, and both backend and front-end developers. I successfully led the team to deliver the solution and conducted testing to validate its value.
On Brainly, a platform where students ask and answer questions, around 50% of queries were duplicates. This led to numerous new answers to old questions, without improving the overall knowledge base. Consequently, original questions received slower responses, significantly impacting user satisfaction, as young users typically expect instant answers.
Working closely with the team, we developed a service that leverages machine learning to identify the best answers from the knowledge base, considering factors like view count, votes, and “hearts.” As users typed their questions, the service checked in real-time to see if similar questions had already been answered on Brainly, providing them with high-quality answers instantly. This approach allowed resources to focus on addressing unique questions and enhancing the overall knowledge base.
The concept was proven during A/B/C/D tests on US and Polish markets.
Few years after introduction the solution is still live and continues to help 350 million students on Brainly.
of less duplicates on markets with Instant Answers service introduced
faster answers to unique questions