One-question screen for gambling risk: What the Sydney study found

The Gambling Satisfaction Scale asks customers to rate their own gambling out of 10, and Australian operators have already adopted it. 

Operators have spent years building systems that flag customers at risk of gambling harm. Far less thought has gone into what those customers are actually asked once they have been flagged.

Writing in Global Gaming Business on 3 September 2026, Professor Sally Gainsbury of the University of Sydney set out a different approach. She offered one neutral question, scored out of 10, drawn from research her team published in Acta Psychologica this year.

The gap in existing screens

Gainsbury’s argument starts with what current tools cannot do. Staff are not counsellors, and the validated instruments available to them were built for research and clinical use. The briefest screens run to two or three items and focus on severe outcomes: whether someone has lied, is in financial difficulty, or has damaged relationships.

Gainsbury wrote:

‘Validated problem gambling screens are developed to identify people who are experiencing high levels of harm. They are silent on the early and moderate risk levels where intervention would make the most difference.’

The questions are also closed, she writes, answered yes or no, and they make obvious what is being assessed. ‘After one exposure, a screening tool becomes a test to pass rather than a genuine reflection.’

What the research found

The Gambling Satisfaction Scale (GSS) asks one thing: ‘All things considered, how satisfied are you with your gambling/betting?’, scored from 0 for poor satisfaction to 10 for high satisfaction.

Gainsbury’s team surveyed 1,834 Australian customers across three operators, one land-based electronic gaming machine venue and two online wagering platforms, and interviewed 37 gamblers separately. Satisfaction scores were strongly negatively correlated with problem gambling severity in all three samples, and the scale distinguished moderate-risk and high-risk gamblers with good accuracy.

What that looks like in practice is a score that falls as risk rises, in every sample.

A score of 6 or below was the threshold at which the question best identified someone at moderate risk in two of the three samples, and 7 or below in the third. 

Adding a brief life satisfaction question and a financial wellbeing measure sharpened it further, giving seven items in total.

Gainsbury’s point is that the format is what makes the answer usable:

‘There is no socially desirable response to a numerical satisfaction question. A customer who reports that their satisfaction is a three out of ten is telling you something real.’

What it means in practice

The scale is not designed to replace clinical assessment. The Gambling Satisfaction Scale is not a diagnostic instrument, and it does not classify customers according to clinical risk. However, it helps to open a conversation.

For frontline staff, Gainsbury writes, that changes the interaction: ‘Instead of administering a checklist that feels like an audit, a staff member can ask a single neutral question and then listen.’ 

Follow-up questions drawn from motivational interviewing, such as asking what would make the score a six, invite customers to reflect without being told what to think.

The authors’ guidance to operators is:

• To use the question as a first-contact opener when a customer is flagged for risk
• To track scores across repeated interactions rather than treating any single reading as definitive
• To pair it with the life satisfaction and financial wellbeing items for stronger identification

Gainsbury says the method is already in commercial use.

‘This approach has already been adopted by gambling operators in Australia. The early indications are that customers respond well to it because it feels like customer service, not compliance.’

Funding and further work

The research was funded in part by a grant from the University of Sydney, Sportsbet, West HQ, and the International Center for Responsible Gaming. All participants were Australian. The authors say further research is required to test the scale in clinical settings for biases that may affect how customers report their satisfaction.

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