Extending Usability Testing and Tackling the NLP Engine
This week marks Sprint 9 for the MedReachAI project, and our primary focus is balancing active user testing with major architectural updates. As we push toward finalizing our MVP, we are learning firsthand how critical domain-specific user feedback is for building a reliable compliance tool. Here is a breakdown of our progress, early testing insights, and what Collin and I are building this week.…
The MedReachAI project, currently in Sprint 9, is balancing active user testing with major architectural updates. The team is expanding the testing window for this sprint and learning the importance of domain-specific user feedback for building a reliable compliance tool. They are extending the testing phase, gathering early insights, and refining UI elements based on user feedback.
Additionally, they are building the Natural Language Query engine, which involves creating a Python API endpoint that integrates an LLM to translate plain English queries into executable Pandas dataframe filters, and wiring up the search bar in the frontend.
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