Simulating Classroom Conversations at Scale with Voiceform

Challenge

Jeannette, an education researcher studying how teachers make instructional decisions, needed a way to collect authentic, verbal responses from 250 teachers as they reacted to realistic classroom scenarios. Her goal was to simulate key moments of classroom interaction using short vignettes—brief instructional situations that mirror what teachers commonly experience—and understand how they would respond to student thinking in real time.

Traditional methods like one-on-one interviews could capture this nuance, but they weren’t scalable. Interviewing hundreds of teachers would have required a huge amount of time and coordination. At the same time, written survey responses couldn’t reflect the tone, spontaneity, or depth of how teachers naturally communicate in the classroom.

Jeannette was looking for a solution that could replicate the richness of live conversation while being easy to deploy at scale. Just as importantly, it needed to work seamlessly within her existing research setup—specifically, her surveys built in Qualtrics—without disrupting the study flow or design.

Solution

To meet the demands of her study, Jeannette used Voiceform to capture rich, verbal responses from teachers at scale—without the need for time-intensive interviews. One of the key advantages was Voiceform’s ability to embed seamlessly within her existing Qualtrics survey. This allowed her to maintain the structure of her research while layering in open-ended audio questions that felt natural for participants to respond to.

With support from the Voiceform team, the integration process was smooth, and Jeannette successfully launched the study to 250 teachers. Participants were able to listen to realistic classroom scenarios and record their responses directly within the survey environment—making the experience intuitive and consistent.

Voiceform also handled the transcription of all audio responses, delivering a clean, ready-to-analyze dataset as soon as data collection was complete. To further improve transcription accuracy, especially for discipline-specific language, Jeannette was able to preload expected terms—such as mathematical or instructional jargon—into the platform. This ensured that key terminology was correctly captured, reducing the need for manual corrections and streamlining the overall analysis process.

Results

By integrating Voiceform into her workflow, Jeannette was able to streamline her entire research process and save significant time—both during data collection and analysis. The ability to automatically transcribe audio responses eliminated the need for manual transcription, accelerating the time to analysis and reducing administrative overhead.

Voiceform’s seamless fit within her existing Qualtrics setup also meant less time spent configuring tools or managing disconnected data sources. Everything worked within a familiar system, allowing her to focus on the research itself rather than technical logistics.

Most notably, Voiceform enabled Jeannette to collect richer and more detailed responses than she would have with traditional open-ended text fields. On average, the audio responses were X times longer than standard written responses—offering deeper insight into teacher thinking and decision-making. This added layer of depth proved essential in capturing the nuance required for her study.