Case Study: Psyclone accelerates open-end analysis and uncovers deeper emotional insights with Voxco Ascribe AI Coder

Psyclone speeds open-end coding 100x with Voxco Ascribe Coder

Psyclone, a global research firm specializing in understanding consumer emotions and motivations, faced a significant challenge in analyzing the massive volume of open-ended survey responses they collected. With nearly 50% of their questions being open-ended, traditional manual coding was too slow and inconsistent, often forcing them to impose word limits that compromised the emotional richness of their data. They turned to Voxco and its Ascribe AI Coder to find a solution.

By implementing Voxco's Ascribe AI Coder, Psyclone was able to process open-ended responses at an unprecedented scale and speed, saving an immeasurable amount of time—at least 100 times faster than human coders. This allowed them to remove word limits and instead set minimum character thresholds, resulting in richer data. Analysis that once took up to two weeks was completed in just a day or two, enabling Psyclone to correlate emotional data with key KPIs and uncover deeper consumer insights efficiently.

Psyclone