Research at a sample size labs can use
Stanford Lift Lab collected over 700 interviews in hours. That kind of N is how you benchmark models and publish — not a dozen scheduled Zooms.
Academia
Universities use Voiceform to collect spoken data for research, teaching, and campus listening — with transcripts and translation that make large samples workable.




One platform for faculty studies, student feedback, and program evaluation — without a new scheduling army.
Stanford Lift Lab collected over 700 interviews in hours. That kind of N is how you benchmark models and publish — not a dozen scheduled Zooms.
Student, faculty, and staff feedback in spoken form is faster to give and richer to read. Pair it with the closed items your IR office already needs.
Embed Voiceform into existing platforms so IRB-approved flows stay intact. Harvard researchers have used it to save hours on transcription alone.
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Audience and methods research, usability in campus products, and the people who study and work here.
50+
Languages transcribed
1000s
Interviews in parallel
Voice + video
With AI probing on every answer
Alejandro Salinas
NLP Research Fellow, Stanford Lift Lab
“In a matter of hours, we deployed to hundreds of participants and collected over 700 interviews - a dataset at a scale that was simply unprecedented for this kind of benchmark.”
Jeannette Garcia Coppersmith
PHD Candidate, Harvard University
“Voiceform seamlessly integrated into my survey platform, making data collection smooth and saving me hours with its accurate transcription feature.”
Get started free, or book a walkthrough of Voiceform for academia.