Challenge
During our process of building Mera Einstein, we faced several critical aspects of the development that influenced the eventual design and functionality of the platform.
- Balancing advanced features of AI and usability needed a lot of prioritization in order to ensure a smooth user experience right from the start.
- A seamless integration with the essential tools such as Google Workspace required high technical precision and coordination.
- Creating individualized workflows for students, counselors, and content writers involved bringing several user journeys into a single system.
- Assigning counselors to students manually created operational difficulty and made it difficult to scale efficiently with user growth.
- Only a limited set of integrations were included, reducing the flexibility to expand or adapt quickly.
Result
- A functional core platform was delivered that covers vital workflows for students, counselors, and content writers for real-time collaboration and task planning.
- AI-enabled capabilities such as essay analysis, profile insights, and extracurricular credibility scoring were incorporated in order to test user value and viability.
- The integration with Google Meet and Drive simplified the scheduling of sessions, sharing of documents, and the relationship between the counselors and students.
- The MVP was set up to gather user behavior data and feedback, which is currently used to iterate and determine priorities for further phases.
- The developed platform is technically sound and ready to scale when the number of users grows.