Many business decision scenarios are repetitive and involve feedback between decision judgments (Sprinkle 2000). In such decision-making contexts, summarized outcome feedback (OFB) is a frequently offered and/or sought-after form of feedback. In accounting settings, such feedback provides individuals with quantified outcomes that generally have intuitive directional properties (e.g., more profit is intuitively good and more cost is intuitively bad in most business settings). Relative to other forms of feedback, such as explanatory feedback (i.e., step-by-step feedback regarding why a particular result occurred), OFB is less time consuming and less costly to deliver (Bonner and Walker 1994). In a world characterized by time constraints and information overload (e.g., Epstein 2007), exploring the ability of decision makers to self-learn based on numeric outcome feedback is both (1) increasingly important and (2) naturally related to accounting information.