Make open end analysis easy

To tap into this depth, you have to rely heavily on open-ended questions, giving respondents the freedom to express themselves in their own words. But analyzing open-ended responses at scale is no easy task. Manual coding is painstaking and can take weeks, and nuanced human emotions aren’t easy to capture consistently across teams. To keep projects manageable, you start limiting word counts. But in doing so, you lose the emotional richness and depth that makes your data truly valuable. You need a way to scale analysis of open-end responses without compromising the quality your work is known for.

In a sea of new AI providers, you discover Ascribe. First, we set you up with AI Coder—our powerful, AI-driven text analysis platform designed to handle open-end analysis at scale. Instead of limiting responses, you can now encourage more answers, richer answers, knowing that AI Coder can keep up. The AI-enabled thematic clustering allows you to explore an unlimited range of emotions in a quantifiable manner. Analysis that once took a week or two, now takes a day or two. Your team has the time to review and fine-tune the results. It’s fast, flexible, and built for the depth you’re after.

The difference is striking: the data is significantly richer and more insightful. And, you’ve slashed coding time by up to 100x, can process large sample sizes on unlimited responses, and can run correlations on KPIs like purchase intent and brand loyalty. With AI Coder doing the heavy lifting and your experts providing oversight, you’ve scaled your research without sacrificing depth. And that’s how you keep answering anything.