Public affairs simulation uses artificial societies to model how policymakers, regulators, advocacy groups, media, and the public would react to policy positions, legislative proposals, or advocacy campaigns. Public affairs teams operate in high-stakes environments where misjudging stakeholder reactions can derail legislation, trigger regulatory backlash, or undermine an organisation's policy agenda. Artificial Societies enables public affairs professionals to test their positioning across synthetic populations representing each stakeholder community — from Capitol Hill insiders to grassroots constituents — before committing to a public strategy.
Public affairs decisions are inherently high-stakes and often irreversible — once a policy position is publicly stated, walking it back damages credibility. The audiences involved are among the hardest to reach through traditional research: senior policymakers, regulatory officials, lobbyists, and political influencers rarely participate in conventional surveys or focus groups. And the materials are often highly sensitive — testing a policy narrative with real participants risks premature disclosure. Synthetic stakeholder simulation addresses all three challenges: providing evidence-based insight into unreachable audiences, on sensitive topics, before any public commitment.
Organisations use public affairs simulation to test a wide range of scenarios: evaluating how different policy narratives would be received across party lines; modelling regulatory reactions to proposed compliance frameworks; testing advocacy campaign messaging with synthetic populations of policymakers and their staff; assessing how industry coalitions would respond to a new trade position; and understanding how media and public opinion would interact around a legislative proposal. Each scenario involves constructing purpose-built artificial societies for the relevant stakeholder communities.
Yes. Artificial Societies constructs persona networks representing policymakers, regulatory officials, lobbyists, and political influencers from real-world behavioral data. These synthetic populations capture the diversity of political perspectives, policy priorities, and communication styles within specific political communities — such as the 1,364 Washington D.C. policymaker personas built for Teneo's engagement.
Polling captures a snapshot of existing public opinion. Public affairs simulation models how specific stakeholder groups — including unreachable audiences like senior policymakers — would react to proposed policy positions or advocacy campaigns. It reveals not just current opinion but how opinion would shift in response to specific messaging, providing actionable intelligence for strategic positioning.