Wildfire management is experiencing an information boom: predictive services, remote sensing, machine learning, and models of models. Is it improving decisions and outcomes on the ground? Results are mixed. Wildfire managers operate in dynamic, uncertain, and time-constrained environments, whether on an IMT, strike team, or in a coordination centre. Injecting intelligence can improve decision quality, or lead to cognitive overload, analysis paralysis, and risk aversion. Details matter. Behavioural science is an emerging discipline being applied by the military, medical professionals, and sports franchises to develop expert intuition and improve judgement in difficult circumstances. We'll look at practical tools wildfire managers and agencies can use to ​support decision-makers and improve outcomes. ----- Jonathan Reimer, MSc. is an emergency manager based in Victoria, BC. He is a former director of British Columbia’s Provincial Emergency Coordination Centre, served on a National Incident Management Team with Parks Canada, and was WUI Branch Director on the Horse River fire, Canada's most destructive wildfire disaster. He is a published wildfire researcher and his work on high-impact judgement has been featured by TED, CBC, and the Canadian Association of Fire Chiefs. He is an Emergency Manager with the Capital Regional District and founded Emergent Risk Management to build innovative science-practitioner partnerships.