Public observability layer · demonstration & briefing

Demonstration & Institutional Presentation

Guided walkthroughs, story cards, and presentation layouts that operate over the live observational dataset. No simulated decisions; no causation inference.

demonstration mode · observational outputs · not a regulatory determination

Demonstration & presentation layer. All flows operate over the live observational dataset. No enforcement decisions are simulated. No causation is inferred. Not a regulatory determination.

Guided tours · 6 registered

public · ~4 min

Public Intelligence View

Open observability surface walkthrough — what we publish, how it is sourced.

4 steps

regulator · ~5 min

Venue Observatory

How the venue-quarter observation engine is constructed and read.

3 steps

regulator · ~5 min

LGA Observatory

LGA-grain aggregates and stable-coverage filtering.

3 steps

regulator · ~6 min

Reform Impact Monitor

Pre/post observed-movement comparison against policy and reform timelines.

3 steps

regulator · ~4 min

Provenance Tracing

How any single export is traceable to source, parser, lineage and methodology.

3 steps

public · ~3 min

Methodology Explorer

How to navigate the methodology surface and understand what each label means.

3 steps

Story cards · 4 registered

longitudinal_trend

Longitudinal trend example

How the platform shows a multi-year directional movement without inferring cause.

comparison

Comparison example

How an LGA is positioned against peer LGAs without ranking it morally.

reform_timeline

Reform timeline example

How a reform is anchored against a fixed pre/post window with a strict 5-label assessment.

provenance

Provenance example

How any export is traceable back to its source publication.

Presentation layouts · 4

briefing_room_projection

Fullscreen presentation

regulator_one_on_one

Briefing-friendly layout

institutional_handover

Clean regulator mode

print_or_share

Export-ready visuals

Guided tooltips · 4

evidence_classifications
Evidence classification
Five values: observed_published_record, derived_deterministic_metric, analytical_support_indicator, comparative_descriptive_statistic, non_computability_declaration. Stamped on every output envelope.
derived_metrics
Derived metric
A metric calculated deterministically from observed data via a registered formula. Carries methodology_ref, lineage_ref, calculation_ref, and a confidence label.
confidence_labels
Confidence label
HIGH_DETERMINISTIC, MODERATE_OBSERVATIONAL, LIMITED_PUBLICATION_COVERAGE, or UNCOMPUTABLE. Driven by observability + publication coverage, never by predictive model confidence.
limitations
Limitations
Every output enumerates its limitations. Examples: rank-only publication basis, pre-2019 archive separation, no causation inference.