Playbook RG

Evidence

Research, design choices, open questions.

See what informs Playbook’s player information, how the research shapes a resource, and what still needs evaluation.

Explore research and resourcesBrowse the 27 references

The design intention

Help people understand their choices.

Playbook aims to make game information understandable and practical choices easier to find. This is a design intention. Accurate information is one part of a wider system that includes operator responsibilities, regulation and access to support.

  • Explain the game plainly

    Describe outcomes, odds and the limits of player control with examples.

  • Make the next action clear

    Show where to find a limit, a game rule or a support contact.

  • Invite questions without judgment

    Use approachable wording while being direct about risks and consequences.

  • Check understanding

    Ask readers to apply an explanation, and use the findings to improve it.

A hypothesis to test

From a useful explanation to a measurable outcome.

Each step needs evidence. Success at one step does not establish the next.

  1. 01

    Exposure

    Did the intended audience encounter and use the resource?

  2. 02

    Understanding

    Can readers accurately explain and apply its message?

  3. 03

    Action

    Does a suitable comparison show a change in the intended behavior?

  4. 04

    Lasting outcomes

    Does the change persist, and what happens to relevant benefits and harms?

Research into practice

Follow a finding into a resource.

Each discussion separates the research, Playbook’s design choice and its limits. A resource link lets you inspect the application.

  1. Idea 01

    Make player information easier to use

    What the sources contribute
    Research with customers of a major gambling operator found uneven awareness and use of responsible-gambling resources. Technology-acceptance research offers a separate lens on usefulness and ease of use. These findings motivate attention to access; they do not establish one failure shared by every program.
    Playbook’s design choice
    Put a short, relevant explanation at the point where a player has a question. Make the next information or support action easy to find.
    Limit and open question
    A view or click shows exposure or interest. It does not establish comprehension, improved decisions or reduced harm.
    Inspect the game-information poster →

  2. Idea 02

    Define the intended player outcomes

    What the sources contribute
    Public-health and responsible-gambling frameworks address population conditions and stakeholder responsibilities. Positive Play research adds a vocabulary and self-report measure for player beliefs and practices. Playbook draws on these perspectives when describing its intended outcomes.
    Playbook’s design choice
    Pair accurate game information with practical explanations of limits and support. Treat operator design, access and staff practice as responsibilities alongside player choice.
    Limit and open question
    The frameworks are conceptual foundations. The Positive Play Scale is a measure, not proof that the content improves player outcomes.
    Inspect the player-limits resource pack →

  3. Idea 03

    Explain what players may misunderstand

    What the sources contribute
    Studies examine relationships between mistaken beliefs, confidence, gambling attitudes and problems. Model estimates offer evidence relevant to a proposed belief–problem pathway, with assumptions about the data and model. The overconfidence work examines how perceived understanding relates to attitudes.
    Playbook’s design choice
    Explain random outcomes and independence with a concrete question and answer, then check whether the reader can apply the explanation to a new example.
    Limit and open question
    These studies do not test a Playbook resource. Correcting an answer in a quiz does not by itself demonstrate a lasting change in gambling behavior.
    Try the independent-spins quiz card →

  4. Idea 04

    Test the step from understanding to action

    What the sources contribute
    Theories of reasoned action and planned behavior connect beliefs, attitudes, norms, perceived control and intentions. A gambling study found that attitudes and norms predicted stated intention to play electronic machines in two samples. Its measured outcome was intention.
    Playbook’s design choice
    Give an explanation a specific next step, such as finding the deposit-limit settings. Test whether people can locate and understand that action.
    Limit and open question
    Intention is not observed action. Any claim about later behavior needs its own outcome measure, comparison and follow-up.
    Inspect the deposit-limit email →

  5. Idea 05

    Use approachable language, then test it

    What the sources contribute
    A review and four focus groups with 39 participants explored message preferences, including clear, relevant and non-judgmental wording. Broader health-communication work studies framing and tailoring in other settings. Marketing theory adds a rationale for involving people in the design of a service.
    Playbook’s design choice
    Use plain language and useful game examples that people can approach without first identifying themselves as having a problem. Adapt tone and format to the audience, while keeping odds and risks clear.
    Limit and open question
    Preferences are not demonstrated effectiveness. These sources do not prove that positive wording, segmentation or self-appraisal improves Playbook outcomes. Compare candidate messages with real readers.
    Open the content-testing scorecard →

  6. Idea 06

    Keep education within its scope

    What the sources contribute
    The Pathways Model describes different routes into gambling problems. It illustrates why a single explanation of harm or a single response is unlikely to cover every need. It does not establish which groups would benefit most from Playbook.
    Playbook’s design choice
    Keep support information easy to reach, and prepare staff to make an appropriate handoff when a player needs more than game information.
    Limit and open question
    Playbook has no demonstrated clinical or subgroup treatment effect. Education does not replace treatment, effective protections or professional support.
    Inspect the support contact card →

  7. Idea 07

    Separate policy arguments from market effects

    What the sources contribute
    A policy letter argues for considering licensed-market participation together with the protections available there. A separate online-poker choice experiment examines consumer preferences for oversight. These are different forms of evidence about a wider regulatory setting.
    Playbook’s design choice
    Provide clear information about the games and protections available in a licensed setting. Treat the possibility that education influences market choice as a question for research.
    Limit and open question
    Neither source demonstrates that Playbook changes licensed-market participation. A stated preference is not actual market share, and market estimates with different definitions are not directly comparable.
    Read the regulator overview →

  8. Idea 08

    Give implementation an owner and a review loop

    What the sources contribute
    Practitioner work discusses responsible gambling within organizational culture. General management and organizational-learning theories provide ways to think about staff practice and the adoption of new knowledge. The bibliography also identifies an accreditation-performance study; its full text was unavailable in this review.
    Playbook’s design choice
    Assign an owner to each player touchpoint, rehearse the staff response, and record the local review and any later changes.
    Limit and open question
    These sources do not evaluate Playbook. Detailed accreditation score trends are not asserted here, and an assessment of operator practice is different from a test of player outcomes.
    Inspect the illustrative rollout and responsibilities →

  9. Idea 09

    Publish what remains unknown

    Current status
    The sources inform the design and suggest questions that can be tested. This page presents no Playbook-specific outcome study demonstrating improved Positive Play scores, lasting literacy gains, reduced loss chasing or reduced gambling harm.
    Playbook’s design choice
    Evaluate a named resource in a defined setting, publish the method and results, and revise the content when the findings warrant it.
    Limit and open question
    Downloads, reader preference, course completion and a program review badge must not be reported as proof of harm reduction. Neutral and unfavorable findings belong in the record too.
    Read the proposed evaluation plan →

Candidate outcome measures

The Positive Play Scale

The Positive Play Scale is a candidate measure for a future evaluation. Its four self-report subscales have published development and validation studies. A study should justify which subscales fit its intervention and audience, use the instrument appropriately, and pair self-report with relevant comprehension or behavioral measures. The descriptions here are summaries, not survey items.

Positive Play and problem-gambling severity measure different things. An association between them does not establish that an intervention reduces harm. No Playbook study result is reported here.

  • Personal responsibility

    Beliefs about responsibility for one’s gambling decisions. Operator responsibilities remain essential.

  • Gambling literacy

    Beliefs about how gambling works and its prospects as a way to make money.

  • Honesty and control

    Reported openness about play and staying within affordable time and spending.

  • Pre-commitment

    Reported consideration of affordable time and money before gambling.

Proposed evaluation · no results yet

A plan for testing a specific resource.

This is a planning worksheet for a future study. It is not a registered or approved protocol, and no study dates, participants or results are announced. A research partner and operator would need to agree the design and required reviews before recruitment.

  1. Step 1

    Define the resource and question

    Choose a version, audience, language and placement. Name one primary question, such as whether a slots explanation improves understanding of independent spins. Record the operator, investigator and funder, their roles and any conflicts.

  2. Step 2

    Agree the design before recruitment

    Specify a suitable comparison and allocation method. Where feasible, compare the resource with the existing message using random assignment. Define eligibility, exclusions, timing and analysis in advance. Obtain appropriate ethics, consent and data-handling review.

  3. Step 3

    Check readability and task success

    Ask representative readers to explain the message in their own words and complete its intended task. Include relevant languages and accessibility needs. Record misunderstandings and revisions before the outcome study.

  4. Step 4

    Choose outcomes and a justified sample

    Separate exposure, comprehension, intention and observed action. Select a primary outcome and follow-up interval. Use Positive Play subscales only where appropriate. Have the study team justify sample size, meaningful change and uncertainty for the planned comparison.

  5. Step 5

    Run a bounded pilot

    Record what was actually shown, completion, attrition and implementation differences. Watch for misunderstandings, distress or unintended encouragement to gamble. Agree how participants can access support and who can pause or revise the pilot.

  6. Step 6

    Analyze and report the comparison

    Report group results, effect estimates with uncertainty, missing data and deviations from the plan. Keep exploratory subgroup findings separate. Do not turn clicks, satisfaction or short-term quiz improvement into claims about reduced harm.

  7. Step 7

    Publish and decide what changes

    Share the method and aggregate findings, including neutral or unfavorable results. Protect participant information. State whether to revise, repeat, expand or stop, and identify the next resource version. Broader outcome claims require suitable longer-term studies.

Read the content-testing scorecard

The scorecard can help structure feedback. A positive content rating alone does not demonstrate a player outcome.

Reference list · reviewed September 5; updated September 6, 2026

Read the source and its limits.

These 27 references support the discussions on this page. Evidence types vary: theories, qualitative preferences, observational relationships, measurement studies and practitioner work answer different questions. This is a design-source review, not a systematic review of all gambling interventions.

Links lead to the publication or an available primary bibliographic record. Access limitations are stated beside the affected entries. Publication years use the final issue where available; earlier online dates are noted.

Several sources were written or coauthored by Playbook’s creator. Those entries are labeled. Kahlil Simeon-Rose published earlier cited work as Philander; the authorship note links the public records. Consult each original paper for its funding and conflict disclosures. Creator coauthorship is not independent product validation.

The foundations chapter expands these discussions and uses the same reference records in its downloadable edition. Each chapter reference links back to the sections that cite it.

  1. 01Information-systems research

    Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. doi:10.2307/249008

    Scope: Studies technology acceptance. Applying usefulness and ease of use to player information is a design inference.

  2. 02Conceptual replyCreator author/coauthor

    Wood, R. T. A., Wohl, M. J. A., Tabri, N., & Philander, K. (2024). Responsible Gambling as an Evolving Concept and the Benefits of a Positive Play Approach: A Reply to Shaffer et al. Journal of Gambling Studies, 40(4), 1779–1786. doi:10.1007/s10899-023-10245-8. Online 2023.

    Scope: Argues for the Positive Play approach; it is not a new intervention trial.

  3. 03Repeated cross-sectional surveys

    Louderback, E. R., LaPlante, D. A., Abarbanel, B., Kraus, S. W., Bernhard, B. J., & Gray, H. M. (2023). Examining Responsible Gambling Program Awareness and Engagement Trends and Relationships with Gambling Beliefs and Behaviors: A Three-Wave Study of Customers from a Major Gambling Operator. Journal of Gambling Studies, 39(1), 401–429. doi:10.1007/s10899-022-10109-7. Online 2022.

    Scope: Three customer samples from one operator. Awareness, use and belief associations do not establish program effects or universal uptake rates.

  4. 04Public-health framework

    Korn, D. A., & Shaffer, H. J. (1999). Gambling and the Health of the Public: Adopting a Public Health Perspective. Journal of Gambling Studies, 15(4), 289–365. doi:10.1023/A:1023005115932

    Scope: Frames gambling as a population-health concern. It does not evaluate Playbook.

  5. 05Policy framework

    Blaszczynski, A., Ladouceur, R., & Shaffer, H. J. (2004). A Science-Based Framework for Responsible Gambling: The Reno Model. Journal of Gambling Studies, 20(3), 301–317. doi:10.1023/B:JOGS.0000040281.49444.e2

    Scope: Sets out principles and stakeholder responsibilities; this is a conceptual foundation.

  6. 06Comparative survey

    Wood, R. T. A., & Griffiths, M. D. (2015). Understanding Positive Play: An Exploration of Playing Experiences and Responsible Gambling Practices. Journal of Gambling Studies, 31(4), 1715–1734. doi:10.1007/s10899-014-9489-7. Online 2014.

    Scope: Examines reported playing experiences and practices. Group differences are not evidence of an intervention effect.

  7. 07Scale development and validationCreator author/coauthor

    Wood, R. T. A., Wohl, M. J. A., Tabri, N., & Philander, K. (2017). Measuring Responsible Gambling amongst Players: Development of the Positive Play Scale. Frontiers in Psychology, 8, 227. doi:10.3389/fpsyg.2017.00227

    Scope: Develops four self-report subscales. Validating a measure does not establish that Playbook improves its scores.

  8. 08National scale-validation surveyCreator author/coauthor

    Tabri, N., Wood, R. T. A., Philander, K., & Wohl, M. J. A. (2020). An examination of the validity and reliability of the Positive Play Scale: findings from a Canadian national study. International Gambling Studies, 20(2), 282–295. doi:10.1080/14459795.2020.1732442

    Scope: Examines reliability and validity in a Canadian sample; it does not test a Playbook resource.

  9. 09Measurement-development report

    Ferris, J., & Wynne, H. (2001). The Canadian Problem Gambling Index: Final Report. Report to the Canadian Centre on Substance Abuse, February 19, 2001.

    Scope: Introduces the CPGI, which includes the PGSI severity measure. A screening score is not a clinical diagnosis.

  10. 10Cross-sectional survey

    Delfabbro, P., King, D. L., & Georgiou, N. (2020). Positive play and its relationship with gambling harms and benefits. Journal of Behavioral Addictions, 9(2), 363–370. doi:10.1556/2006.2020.00041

    Scope: Examines relationships between positive play and harms. Associations do not show that raising a scale score causes harm reduction.

  11. 11Observational survey and longitudinal model estimationCreator author/coauthor

    Philander, K. S., & Gainsbury, S. M. (2023). An Empirical Study of the Pathway Model Link Between Cognitive Distortions and Gambling Problems. Journal of Gambling Studies, 39(3), 1189–1205. doi:10.1007/s10899-022-10166-y. Online 2022.

    Scope: The publisher abstract describes instrumental-variable and prospective analyses. Full text was not available in this review. Non-experimental causal inference depends on model assumptions; this is not a randomized literacy intervention.

  12. 12Conceptual model and review

    Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5), 487–499. doi:10.1046/j.1360-0443.2002.00015.x

    Scope: Proposes different routes into gambling problems. It does not rank Playbook’s effectiveness across groups.

  13. 13Secondary survey analysis and randomized laboratory conditionsCreator author/coauthor

    Philander, K. S., & Gainsbury, S. M. (2021). Overconfidence in Understanding of How Electronic Gaming Machines Work Is Related to Positive Attitudes. Frontiers in Psychology, 11, 609731. doi:10.3389/fpsyg.2020.609731. Published January 12, 2021.

    Scope: Studies knowledge, confidence and attitudes, including randomized machine and labeling conditions in the laboratory. The overconfidence–attitude association is not itself a randomized treatment effect or a test of Playbook.

  14. 14Behavioral theory book

    Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading, Massachusetts.

    Scope: The Theory of Reasoned Action is a proposed explanatory pathway, not evidence that every change in intention becomes action.

  15. 15Behavioral theory review

    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi:10.1016/0749-5978(91)90020-T

    Scope: Extends the intention model with perceived behavioral control; it is not a Playbook evaluation.

  16. 16Post-exposure surveysCreator author/coauthor

    Gainsbury, S. M., Philander, K. S., & Grattan, G. (2020). Predicting Intention to Play Random and Skill-based Electronic Gambling Machines Using the Theory of Reasoned Action. Journal of Gambling Studies, 36(4), 1267–1282. doi:10.1007/s10899-019-09915-3. Online 2019.

    Scope: Attitudes and perceived norms predicted stated intention in two samples. The outcome was intention to play, not observed behavior change.

  17. 17Review and qualitative focus groupsCreator author/coauthor

    Gainsbury, S. M., Abarbanel, B. L. L., Philander, K. S., & Butler, J. V. (2018). Strategies to customize responsible gambling messages: a review and focus group study. BMC Public Health, 18, 1381. doi:10.1186/s12889-018-6281-0

    Scope: Four groups, 39 participants, discussed message preferences. This was not a trial of actual tool use or harm reduction.

  18. 18Decision theory

    Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263–292. doi:10.2307/1914185

    Scope: Explains choices under risk; it does not establish which gambling-education message works best. Link opens the publisher’s issue contents.

  19. 19Health-communication theory and review

    Rothman, A. J., Bartels, R. D., Wlaschin, J., & Salovey, P. (2006). The Strategic Use of Gain- and Loss-Framed Messages to Promote Healthy Behavior: How Theory Can Inform Practice. Journal of Communication, 56(suppl. 1), S202–S220. doi:10.1111/j.1460-2466.2006.00290.x

    Scope: Discusses framing in health contexts. Effects depend on the behavior and setting; transfer to gambling education needs testing.

  20. 20Meta-analysis of health interventions

    Noar, S. M., Benac, C. N., & Harris, M. S. (2007). Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychological Bulletin, 133(4), 673–693. doi:10.1037/0033-2909.133.4.673

    Scope: Finds a small average tailoring effect across health studies, with variation. It is not a gambling-specific or Playbook estimate.

  21. 21Conceptual marketing framework

    Vargo, S. L., & Lusch, R. F. (2004). Evolving to a New Dominant Logic for Marketing. Journal of Marketing, 68(1), 1–17. doi:10.1509/jmkg.68.1.1.24036

    Scope: Service-Dominant Logic informs participation in service design. It does not prove that self-appraisal outperforms instruction.

  22. 22Accepted policy argument / letterCreator author/coauthor

    Simeon-Rose, K. (2026). The Case for the Channelization Model as the Predominant Framework in Online Gambling Regulation. International Gambling Studies, accepted according to the author’s research index. Linked manuscript: letter to the editor; final issue/DOI not established in this review.

    Scope: Analyzes no new data. The argument about licensed-market protections does not establish a Playbook effect on market choice.

  23. 23Stated-choice experimentCreator author/coauthor

    Philander, K. S., & Wimmer, B. S. (2025). Playing by the rules: Government regulation and consumer trust in the online poker industry. Computers in Human Behavior Reports, 17, 100599. doi:10.1016/j.chbr.2025.100599

    Scope: The author’s record describes an online-poker choice experiment. The publisher record and DOI were identified, but full text was inaccessible in this review. Stated choices do not measure actual channelization or a Playbook effect.

  24. 24Conference / practitioner reportCreator author/coauthor

    Philander, K. S. (2020). Future-Proofing the Industry: Organizational Culture and Responsible Gambling. GP Consulting report prepared for the New Horizons conference, March 10–12, 2020.

    Scope: Discusses organizational practice. It is not presented here as a peer-reviewed intervention evaluation.

  25. 25Practitioner management article

    Heskett, J. L., Jones, T. O., Loveman, G. W., Sasser, W. E., Jr., & Schlesinger, L. A. (2008). Putting the Service-Profit Chain to Work. Harvard Business Review, July–August 2008, classic reprint R0807L; original 1994.

    Scope: General service-management framework; not a gambling-education trial.

  26. 26Accreditation-performance study; access limitedCreator author/coauthor

    Philander, K. S. (2023). Do third-party responsible gambling assurance programs lead to performance improvements? Evidence from RG Check accredited venues. UNLV Gaming Research & Review Journal, 27(1), article 4. Title and issue checked against the author’s bibliography.

    Scope: Publisher full text was inaccessible during this review. No detailed sample or score finding from this paper is asserted here.

  27. 27Organizational-learning theory

    Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. doi:10.2307/2393553

    Scope: The link is the author’s institutional bibliography; full text was inaccessible. Its application to operator rollout is a design inference.

Apply and evaluate

Connect the rationale to the work.

  • Brand: educate players

    Use the design rationale when adapting a game explanation, message, or template. Test how the final resource works for its audience.

    Explore Brand →

  • Academy: prepare staff

    Help staff explain a player question, choose an appropriate tone, and make the right information or support handoff.

    Explore Academy →

  • Tools: create and review content

    Draft a player message, inspect the wording, and keep findings and human decisions with the asset.

    Explore Tools →

  • Review: assess a program

    Connect program evidence to a defined assessment scope, findings, and external sign-off. A program assessment does not itself establish player outcomes.

    Explore Review →