Survey Design & Experimentation
Native support for experimental conditions, treatment assignment, randomization, blocking, and survey versioning.
A research-grade platform for experimental survey design, deterministic hosting, and econometric-ready data analysis.
Built for replication, pre-registration, and publication.
Most survey platforms are designed for feedback collection. Sphere Insights is designed for scientific inference.
Native support for experimental conditions, treatment assignment, randomization, blocking, and survey versioning.
Server-side execution, timing capture, reproducible randomization, and full audit trails.
Pre-analysis diagnostics and direct exports to R, Stata, and Python with labeled metadata.
Study ├─ Survey Version │ ├─ Experimental Conditions │ ├─ Randomization Seed │ └─ Audit Log ├─ Hosting Events └─ Analysis Outputs
Academic researchers and faculty
Economists and policy analysts
Specialized research consultancies
Co-Founder & Chief Scientist
Co-Founder & Head of Product
Co-Founder & Operations Lead