Problem

Our company had multiple querying experiences across different products, which made it difficult for users to understand and query their data. Additionally, many first-time users struggled with writing queries in SQL, making it a barrier to entry for our product.

Solution

We decided to consolidate all of our querying experiences into one platform to reduce product footprint and make it easier for users to access their data. To further improve the user experience, we designed an AI solution that could write queries in natural language. This would allow first-time users to get results without needing to know how to write queries in SQL.

Impact

Reduced product footprint by consolidating querying experiences
Improved user experience by making it easier and faster for users to access their data
Increase in new user adoption due to the natural language query feature

Team

Team Member #1 - Product Manager
- Oversaw the project from conception to launch
- Liaised with development team and stakeholders throughout the project lifecycle
Team Member #2 - AI Engineer
- Built and trained the natural language query model using machine learning techniques
- Collaborated with development team on integrating the model into the platform
Team Member #3 - Frontend Developer
- Built out the frontend of the platform, including designing UI/UX for the natural language query feature
- Collaborated with backend developers on integrating the AI solution into the platform

AI-Powered Query Platform Reduces Footprint & Improves User Experience