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Audit Log Evidence Timeline

Design filterable audit logs, event detail, diffs, provenance, export, and evidence-grade empty/error states for security, compliance, admin, and collaboration products.

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Author@Interface Lab

Data Visualization

Skill Directive

Description

Design filterable audit logs, event detail, diffs, provenance, export, and evidence-grade empty/error states for security, compliance, admin, and collaboration products.

TagsData Visualization

Skill Prompt

- Inputs must include event sources, retention period, user/system actor, object type, action type, before/after diff, IP/device/location, compliance-export needs, sensitive fields, and permission model.
- Each event row answers five questions: who, when, on what object, did what, and with what result; expanded detail adds reason, request id, IP, device, before/after diff, and related events.
- Filter priority: time range, actor, object, action, severity, result, source system, project/space, and IP/location; default sort is reverse chronological and shows timezone.
- An audit log is not an ordinary activity feed: do not write only updated settings; record verifiable evidence, immutable marker, retention policy, and export/copy paths.
- Diff view groups by field, redacts sensitive values while indicating change, and makes large JSON diffs collapsible, searchable, and copyable with human-readable summaries for key fields.
- Empty states distinguish no events, filtered-empty, retention expired, permission denied, logging disabled, and system unavailable; each explains why evidence is missing and the next step.
- Compliance export defines scope, format, permission, timestamp, verification/signature, redaction rules, and download state; failed exports are retryable without losing filters.
- Frontend implementation needs cursor pagination, server-side filters, stable event id, detail route/deep link, redaction layer, export job state, timezone formatting, and safe wrapping for long text.
- Deliver an event schema, timeline/card hierarchy, filter bar, detail/diff panel, empty/error copy, export flow, accessibility notes, and performance QA checklist.
- Sources referenced: Carbon DataTable batch/filter patterns, Atlassian empty-state writing, NN/g empty-state guidance, and enterprise audit-log product conventions. The content is rewritten as Interface Lab audit-log skill guidance.

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