Case Study: How Zeldis Research Cut Reporting Time 40% with Quillit’s Clickable AI Evidence
By Quillit
- case study
- Qualitative Data Analysis
- Data Analytics
- Audience/Consumer Segmentation
- Automated Reporting
- Video Analytics
Zeldis Research, a market research firm, conducted a thought-leadership study on technology’s role in the employee benefits sector, carrying out 10 in-depth interviews with employer benefit decision-makers via Zoom. Following fieldwork, the team faced pressure to synthesise hours of complex qualitative data into a market-ready report quickly. Limited internal bandwidth meant the traditional manual process of transcribing, reviewing, coding, and extracting quotes threatened to extend the reporting timeline and delay delivery of findings.
Zeldis Research integrated Civicom’s Quillit AI-driven qualitative analysis platform into their analytical workflow. Raw video files from the Zoom interviews were uploaded directly to the Quillit platform. The research team provided Quillit with the study’s contextual framework, thematic objectives, and target audience definitions. Quillit generated an executive-level summary of key findings and answered 12 specific research questions mapped to the discussion guide. The moderator used Quillit’s interactive clickable citations interface to validate AI-generated findings against verbatim respondent quotes in a side-by-side pane.
By implementing Quillit, Zeldis Research reduced its qualitative reporting timeline by 40%, achieved through automated consolidation of key findings and question summaries. The clickable citation feature provided direct traceability between AI-generated insights and raw respondent quotes, enabling rapid validation. Automated evidence capture accelerated report enrichment by surfacing relevant quotes for each section. The firm delivered the completed study without sacrificing depth, nuance, or accuracy required by the B2B employee benefits market.
Read the full version of this case study on the Quillit website here.
