The best qualitative research partnerships tend to happen the same way great insights do: organically.
That is certainly the case in our recent partnership with DoReveal, which began when a shared client reached out to DoReveal, seeking to pair its analytical capabilities with the qualitative data captured through Qualzy. It turns out that researchers were already using both platforms side by side because each naturally supported a different part of the qualitative workflow.
That growing need for connected workflows reflects a broader shift happening across the research industry. As qualitative research expands beyond traditional surveys into video, audio, image, mobile, and longitudinal formats, teams are collecting more unstructured data than ever before. The challenge now is making sense of it all without losing the nuance and human understanding that make qualitative research valuable in the first place.
Here's how our partnership addresses that challenge by helping researchers move from richer data to deeper insight through more connected, researcher-first workflows.
From Data Collection to Deeper Exploration
One of the reasons this partnership feels so natural is that the platforms support very different but highly connected parts of the research process. Qualzy is designed around the flow of qualitative fieldwork and participant engagement, while DoReveal focuses on helping researchers explore and analyse conversations at scale through AI-supported conversational analysis.
That distinction matters because qualitative research is rarely about summarising information alone. Researchers need to move between individual stories, broader themes, emerging tensions, and unexpected observations without flattening the human complexity behind the data.
This becomes even more pronounced as projects grow larger and more continuous. Longitudinal communities, ongoing diary studies, and mobile-first research programs can generate enormous volumes of rich qualitative feedback very quickly. Researchers need ways to navigate that information efficiently while still preserving context and emotional nuance.
For independent qualitative research specialist Corette Haf, who has worked extensively with both platforms, that balance is especially important. "The end result of our research is always a mountain of data, and it is such a job to work through all that data", Haf explained. "The biggest advantage of AI analysis is that it helps us get through that mountain so much quicker, but if it gets through it the wrong way, we're going to bark up the wrong tree completely."
Haf's experience reflects the industry reality that researchers want the speed AI can provide, but they also need confidence that nuance, context, and human interpretation are not getting lost along the way.
That's what makes the relationship between Qualzy and DoReveal so complementary. Rather than overlapping, the platforms support different stages of the workflow in ways that feel intuitive for researchers managing increasingly layered qualitative projects.
AI Should Support Researchers, Not Replace Them
At the centre of this collaboration is a shared perspective on AI's role within qualitative research. Both Qualzy and DoReveal believe AI should help researchers move faster and work more efficiently while keeping human interpretation central to the process.
Tools like our Maizy, an AI-powered research assistant, are designed to reduce operational friction and support analysis workflows so researchers can spend more time focusing on interpretation, empathy, and strategic thinking. As AI becomes more integrated into research workflows, speed alone is not enough. Researchers still need visibility into the emotional, cultural, and contextual factors shaping participant responses because qualitative research is ultimately about understanding people, not just processing information.
Building More Connected Research Workflows
Qualitative research teams increasingly need workflows that feel connected rather than fragmented, as they shouldn't have to choose between flexibility and structure, or between rich participant engagement and scalable analysis. The opportunity is creating workflows where those pieces work together naturally. And that's what makes this partnership so exciting.
By combining Qualzy's researcher-first qualitative platform with DoReveal's conversational analysis capabilities, researchers can move more seamlessly from capturing experiences to exploring meaning, with less friction between workflow stages.
And fittingly, the partnership itself emerged from the way real researchers were already working, reinforcing our belief that even as research becomes more AI-supported, human insight still drives the best outcomes.
