Below is a suggested feedback on the Eddy AI search, Algolia search, and Feedback analytics.

Problem statement:

At present, the Eddy AI analytics data can only be filtered on a monthly basis, which means all search queries within a month are grouped together. While this provides a high-level overview, it lacks granularity. Without visibility into the specific date and time of each search, it becomes difficult to track trends at a more detailed level, identify specific usage patterns, or conduct effective audits.

Suggested improvement:

To enhance our internal tracking and auditing capabilities, I suggest adding a timestamp (date and time) to each search query record, in the Conversations table or when a specific search query is opened to view the response. This addition would provide greater visibility into when searches are being performed, allowing us to:

Identify queries that were performed on a specific date

Better analyse patterns in failed or repeated queries over time

Strengthen audit trails for compliance or internal purposes

Additionally, the same enhancement could be introduced in the Search Analytics and Feedback Analytics tables—where search queries and user feedback are currently viewed. Having a date and timestamp in those views as well would further increase clarity, traceability, and allow for more targeted data exploration.