Analyzing Elastic Workplace Search usage in a Kibana dashboard — part 2
Blog post from Elastic
In this article, Mark J. Hoy discusses the new analytics capabilities introduced in the 7.11 release of Elastic Workplace Search, which enhance the exploration of query and click data through advanced dashboards and visualizations using Kibana. The update includes new analytics fields such as query refinements, filters, and feedback events, allowing for more sophisticated data analysis and visualizations. Hoy provides examples of how to create and utilize these new fields for metrics like average click position, mean reciprocal rank, and top queries with no clicks, using tools like Elasticsearch transform indices and Vega scripts for custom visualizations. The article emphasizes the flexibility of these tools, encouraging users to customize analytics to fit their specific needs and improve Workplace Search's effectiveness. Additionally, Hoy highlights the importance of metrics in understanding user engagement and retention, offering insights into how these can be visualized and analyzed to enhance workplace search functionalities. The piece concludes with an invitation to experiment with these analytics tools and provide feedback for future improvements, while also promoting a free trial of Elastic Workplace Search on Elastic Cloud.
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