PREFERENCE AND OUTCOME DATA
Alignment modeling
Collect preference and rationale data with outcome labels for reward models.
HOW THE DATA IS BUILT
Preference data linked to real outcomes
Run structured alignment tasks in conversation and collect preferences, rationales, and outcome labels with full experimental context.
Choice & Ranking Tasks
Structured preference collection at scale
Rationale Capture
Why people chose what they chose
Outcome Labels
Downstream signals linked to preference
Export Ready Records
Clean datasets ready for training pipelines
OUTCOME LINKAGE
Preference isn't impact
Preference labels alone can be fragile. echo links preferences to downstream outcome signals so reward models can be evaluated beyond stated choice.
EXPERIMENTAL CONTROL
Protocols shape outcomes
Vary question formats, rubrics, and disclosures as experimental arms and measure how protocol choices shape labels.
BUILT FOR REPLICATION
Produce datasets built for replication
Every run exports a full reproducibility pack including protocol files, cohort definitions, exclusion rules, metric definitions, and timestamps so analyses are defensible and repeatable.
FAQs
Questions we hear most
You ask, we answer
Ready when you are
Start by exploring what echo already knows. Go deeper when you're ready.