Feature spotlight
Create studies you can rerun and compare over time
Save a study definition once, rerun it whenever assumptions change, and preserve run context for clean comparisons.
Study templates
Bundle population, skill, and context into reusable study configurations.
Run lifecycle tracking
Monitor queued, running, completed, and failed runs in one timeline.
Context snapshotting
Capture run-time context so every result is reproducible.
Export pipelines
Download run outputs in machine-readable formats for deeper analysis.
Example study run request
POST /v1/studies/{studyId}/run
{
"participantCount": 120,
"includeTranscript": true,
"outputFormat": "jsonl"
}Customer story
How teams use it
A product-insights team reruns the same concept study each sprint to track sentiment deltas after message changes.
Comparable experiments
Use stable study definitions to reduce methodology drift.
Fewer setup errors
Reuse proven templates instead of rebuilding every experiment.
Clear run provenance
Audit who ran what, with which context, and when.