Export Analytics as CSV or JSON

Generate a reproducible analytics dataset with correct filters, schema, and privacy.

Written By 4ALL.LIVE

Last updated 12 days ago

Generate a reproducible analytics dataset with correct filters, schema, and privacy.

Best for: Authorized producers, analysts, accessibility leads, organization owners, and support staff.

Before you start

Availability depends on role, event access, plan entitlements, retained source data, export/AI/statistics features, and privacy policy.

  • Confirm exact organization, event, language, and reporting period.
  • Verify requester, recipient, and retention/privacy authorization.
  • Preserve raw source data before cleanup, editing, or deletion.

Export steps

  1. Define purpose/minimum fields. Avoid excess rows.
  2. Set filters. Org/event/team/date/time zone/language/output.
  3. Choose CSV or JSON. Tabular vs structured.
  4. Generate once. Note freshness.
  5. Validate schema. Headers/types/nulls/encoding/time zone/nesting.
  6. Reconcile sample. Compare totals to dashboard definition.
  7. Protect file. Approved encrypted storage/access/retention.
  8. Document provenance. Exporter, time, filters, version, transformations.
  9. Delete temp copies. Per policy.

What success looks like: The deliverable or analysis is correct for the intended scope, reviewed, reproducible, and protected according to policy.

Check your setup

  • Reproducible.
  • Totals reconcile.
  • Scope minimized.

Troubleshooting

CSV corrupt

Import UTF-8.

JSON fails

Validate schema/version/nulls.

Totals differ

Check filters/time/freshness/bot definition.

Security and operational notes

  • May contain personal/technical data.
  • Do not email broadly.
  • Apply least data.

Documentation status: Draft for operational, privacy, and analytics review before publishing.