Elastic looked to elevate their product “Elasticsearch” and generate data points which prove the benefit of Elastic leaning into Generative AI. Thus, the premise of the research was simple: Search is critical infrastructure to operationalize Generative AI for real world scenarios. As a result, their end goal was to twofold:
Solution
In order to hit their two key objectives, we recommended a mixed methodology approach. By utilising quantitative and qualitative research, we could create proof points based on the quantitative data (3,200 interviews) and use the qualitative data (20 interviews) to bring the real world scenarios to life. Additionally, this allowed us to maximise the impact of the project and have quotes to back up the quantitative data.
Outcome
To spearhead this campaign, Elastic wanted to create a report which pulled together both the quantitative and qualitative research. Consequently, three visual presentations were held with Elastic where the main themes and topics were discuss to help drive ideation for the final research report. The resulting report highlighted how transformative Generative AI will be for organizations and how the combination of search technology and generative AI is ultimately what will enable organizations to improve their data management capabilities.
