Focaldata AI is governed by layered safeguards that work together: system controls for secure operation, agent guardrails for research best practice, and human checkpoints for high-impact decisions.Documentation Index
Fetch the complete documentation index at: https://docs.focaldata.com/llms.txt
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The three layers
Layer 1 — System-level guardrails
Controls that support secure operation and auditability. They govern access, project isolation, and operational constraints that prevent accidental cross-project leakage and limit exposure of sensitive data.
Layer 2 — Agentic guardrails
Research best practice encoded into artefact generation and workflow behaviour. They constrain variability where inconsistency creates risk — for example, neutral guide wording, evidence-linked reporting, and enforced interview quality controls.
Layer 3 — Human judgment
Human judgment concentrated at a small number of high-impact checkpoints, rather than spread thinly across every action.
Human approval checkpoints
Projects advance through explicit checkpoints. These concentrate judgment where it matters and reduce accidental commitment.Objective and context review (recommended)
Validate that the brief captures the decision and constraints.
Audience and screener approval (required)
Confirm who will be recruited and how eligibility is operationalised.
Discussion guide approval (recommended)
Confirm topic flow, neutrality, and coverage against objectives.
The platform standardises a high baseline of rigor, but it does not remove professional responsibility. You remain accountable for research design, interpretation, and all client-facing conclusions.