AI, data & intelligence
A survey-research platform that ships models, not raw responses.
Versioned survey instruments, single-completion response tokens keyed to a voter file, and a propensity-model deliverable, respondent data compartmentalized by design.
Campaign clients need what a poll implies, a propensity model of who’s persuadable, not a spreadsheet of raw responses. And the research has to be trustworthy: one response per real voter, no ballot-stuffing, respondent identities protected.
We built a survey-research platform with a public research face and an authenticated response system underneath. Survey instruments are versioned; each invitation carries a single-completion JWT token keyed to a subset of the voter file, so a response is one real person, once. A Mailgun send-and-warming pipeline with webhook ingestion and unsubscribe handling drives distribution. Compartmentalization is enforced by design: the deliverable is a propensity model, not the raw responses. The modeling and the respondent data stay separated.
- Clients get the actionable artifact, a propensity model of who’s movable, instead of raw data they’d have to model themselves.
- Single-completion tokens keyed to the voter file make the research defensible: one response per real voter, no stuffing.
- Respondent data is compartmentalized from the client deliverable by design, a privacy posture most polling operations don’t build in.
- A complete pipeline, not a survey form: versioned instruments, tokenized capture, warmed distribution, webhook ingestion.
no ballot-stuffing, verified once
keyed capture
propensity deliverable
respondent data separated
Client name and identifying details withheld by design. Every figure here is drawn from the system we actually delivered.
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