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Documentation Index

Fetch the complete documentation index at: https://docs.focaldata.com/llms.txt

Use this file to discover all available pages before exploring further.

Protecting participant, client, and project data is a shared responsibility, particularly where AI is involved. Focaldata provides secure infrastructure, access controls, and technical safeguards, operating within private, access-controlled AI environments rather than public consumer chat tools. Teams remain responsible for sound judgement about what information is provided to the platform, how it is used, and how outputs are stored or shared.

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What data the platform processes

When you use the platform, Focaldata AI may process:
  • Research briefs and objectives — context, decision need, research questions.
  • Audience definitions and sampling logic — eligibility criteria, markets, recruitment parameters.
  • Interview transcripts and participant responses — including metadata needed for moderation and analysis.
  • User prompts during analysis — questions asked in chat to interrogate the dataset.
This data is processed within private, access-controlled infrastructure, not exposed to public consumer chatbots. It is governed by Focaldata’s security and ethics controls alongside safeguards applied by underlying model providers, and is used to produce evidence-backed outputs where claims trace back to verbatim responses.
The source playbook leaves the specific list of permitted data uses as a placeholder. This section should be completed and reviewed against the current DPA / privacy policy before publishing externally.

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Access, sharing, and retention

Apply standard enterprise data hygiene when using Focaldata.

Access

Restrict project access to people who need it for their role. Use appropriate workspace and project permissions and keep them current. Treat projects with the same sensitivity as other client research systems and restricted shared drives.

Sharing

Don’t share raw transcripts or full data exports by default. Prefer curated outputs (memos, decks, quote packs) that respect privacy, PII rules, and NDAs. Be deliberate about where outputs are copied or pasted.
Access to raw project data is limited to authorised personnel, and access is logged.