Master checklist for responsible, collectable user and market behaviour data.
This is behaviour expressed through markets, not behaviour of people.
Every item below is: aggregated • non-identifying • observational • non-interventional
Fully aligned with NSW "tracking change over time" priority. Already exceeds episodic research models.
Gold-standard public-health compatible data. No government system currently operationalises this continuously.
Purely descriptive. No judgement embedded. High policy relevance.
Essential for understanding structural conditions of risk. Not used by government yet — but fully defensible.
Aggregated, non-identifying metrics measuring engagement with harm minimisation content. Expressed as percentages of total visitors.
% of visitors reading top 3 harm awareness articles
Understanding Gambling Harm, Family Impact, Getting Help
% of visitors reading any harm-related content
% of visitors engaging with educational articles
Measures proactive education uptake. High percentages indicate effective content placement.
% of visitors clicking gambling help links
GambleAware, GamCare, Gambling Help Online, etc.
Which help services receive most engagement
Which pages drive help-seeking behaviour
Critical for demonstrating platform responsibility. Tracked anonymously without user identification.
Categories: gambleaware, self_exclusion, take_break, help_link
When users proceed despite risk signals
Users choosing not to act based on analysis
Responsible abstention is a positive outcome. Measured to validate harm minimisation effectiveness.
None of this requires changing who the system is. We are not expanding scope — we are deepening observation.
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