Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable

•Use of algorithmic systems disrupts domain experts’ ability to use their expertise.•Non-tailored explainability can result in automation bias and algorithmic aversion.•Explainability should be designed to support experts’ decision-making strategies.•Review of psychology research literature revealed key decision-making strategies.•The Expertise, Risk, and time framework could guide explainability design process.