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Case Study: How Illuminas Used CoLoop to Turn Qualitative Analysis into Live Client Collaboration

By CoLoop

  • case study
  • Online Qualitative
  • Qualitative Research
  • Qualitative Data Analysis
  • Data Analytics
  • Artificial Intelligence

Illuminas, a market research agency, was conducting qualitative research for a Fortune 100 technology company that needed faster, deeper insights. The existing approach to qualitative analysis was slow, manual, and lacked transparency, with reports delivered weeks after fieldwork ended. Clients had little visibility into the process, making it harder to align stakeholders and delaying decisions. They also had no way to engage with findings as they emerged.

Illuminas used CoLoop, an AI-powered qualitative research platform, to turn analysis into a live, interactive experience. The platform enabled shared discovery sessions where researchers and clients explored themes and built insights together in real time. CoLoop’s evidence-first approach linked every finding directly to supporting data and participant quotes, creating transparency throughout the project. Instead of receiving a final report at the end, clients collaborated throughout the analysis process.

Using CoLoop reduced analysis and reporting timelines from weeks to days. Clients gained direct access to the evidence behind every finding, strengthening trust, credibility, and the overall client relationship. Because insights were developed together rather than presented after the fact, stakeholder alignment happened sooner and findings had greater organisational impact. The project showed that involving clients earlier in the analysis process accelerated the journey from insight to action.


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