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Problem Solving, Decision Making, and Professional Judgment

This book includes material drawn from statistics, decision science, social and cognitive psychology, the judgment and decision making literature, and behavioral economics. It combines quantitative approaches to empirical analysis and decision making (i.e., statistics and decision science) with the psychological literature illustrating the systematic errors of the intuitive decision maker.

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Brest P, Krieger LH. Problem Solving, Decision Making, and Professional Judgment: A Guide for Lawyers and Policymakers, 1st Edition. Oxford University Press 2010. https://global.oup.com/academic/product/problem-solving-decision-making-and-professional-judgment-9780195366327?cc=us&lang=en&

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Problem solving, decision making, and professional judgment: a guide for lawyers and policymakers

Brest, Paul. Hamilton Krieger, Linda.

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• Problem-solving and decision-making processes : deliberation, intuition, and expertise
• Framing problems, identifying objectives, and identifying problem causes
• Generating alternatives : creativity in legal and policy problem solving
• Choosing among alternatives
• Introduction to statistics and probability
• Scores, dollars, and other quantitative variables
• Interpreting statistical results and evaluating policy interventions
• Explaining and predicting one-time events
• Biases in perception and memory
• Biases in processing and judging information
• The social perceiver : processes and problems in social cognition
• Choices, consequences, and trade-offs
• Complexities of decision making : decision processes; relationships to our future selves
• Complexities of decision making continued : the power of frames
• Decision making under risk
• The role of affect in risky decisions
• Social influence
• Influencing behavior through cognition
• Group decision making and the effects of accountability on decision quality
• Conclusion: learning from experience.

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How to Make Great Decisions, Quickly

• Martin G. Moore

It’s a skill that will set you apart.

As a new leader, learning to make good decisions without hesitation and procrastination is a capability that can set you apart from your peers. While others vacillate on tricky choices, your team could be hitting deadlines and producing the type of results that deliver true value. That’s something that will get you — and them — noticed. Here are a few of a great decision:

• Great decisions are shaped by consideration of many different viewpoints. This doesn’t mean you should seek out everyone’s opinion. The right people with the relevant expertise need to clearly articulate their views to help you broaden your perspective and make the best choice.
• Great decisions are made as close as possible to the action. Remember that the most powerful people at your company are rarely on the ground doing the hands-on work. Seek input and guidance from team members who are closest to the action.
• Great decisions address the root cause, not just the symptoms. Although you may need to urgently address the symptoms, once this is done you should always develop a plan to fix the root cause, or else the problem is likely to repeat itself.
• Great decisions balance short-term and long-term value. Finding the right balance between short-term and long-term risks and considerations is key to unlocking true value.
• Great decisions are timely. If you consider all of the elements listed above, then it’s simply a matter of addressing each one with a heightened sense of urgency.

Where your work meets your life. See more from Ascend here .

Like many young leaders, early in my career, I thought a great decision was one that attracted widespread approval. When my colleagues smiled and nodded their collective heads, it reinforced (in my mind, at least) that I was an excellent decision maker.

• MM Martin G. Moore is the founder of Your CEO Mentor and author of No Bullsh!t Leadership and host of the No Bullsh!t Leadership podcast. His purpose is to improve the quality of leaders globally through practical, real world leadership content. For more information, please visit, www.martingmoore.com.

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Problem-Solving and Decision-Making

• First Online: 17 October 2019

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• Jonathan S. Vordermark II 2  

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There are major differences between decision-making and problem-solving. The two entities differ in discrete and subtle ways and should be resolved at different levels within teams or organizations. Decision-making usually involves more experienced higher-order, process-dependent, and non-linear skills. The impact of decisions is usually more global, long-term, and less quantifiable and qualifiable.

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Bibliography

Bosk CL. (2003). Forgive and Remember: Managing Medical Failure . Second Edition. Chicago, IL: University of Chicago Press; 2003.

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Montgomery K. How Doctors Think: Clinical Judgment and the Practice of Medicine . New York, NY: Oxford University Press; 2006.

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Pellegrino ED, Thomasma DC. A Philosophical Basis of Medical Practice. New York, NY: Oxford University Press; 1981.

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Vordermark II, J.S. (2019). Problem-Solving and Decision-Making. In: An Introduction to Medical Decision-Making. Springer, Cham. https://doi.org/10.1007/978-3-030-23147-7_3

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16 Judgment and Decision Making

From the noba project. by  max h. bazerman, harvard university, learning objectives.

• Understand the systematic biases that affect our judgment and decision making.
• Develop strategies for making better decisions.
• Experience some of the biases through sample decisions.

Introduction

Every day you have the opportunity to make countless decisions: should you eat dessert, cheat on a test, or attend a sports event with your friends. If you reflect on your own history of choices you will realize that they vary in quality; some are rational and some are not.

In his Nobel Prize–winning work, psychologist Herbert Simon (1957; March & Simon, 1958) argued that our decisions are bounded in their rationality. According to the  bounded rationality  framework, human beings try to make rational decisions (such as weighing the costs and benefits of a choice) but our cognitive limitations prevent us from being fully rational. Time and cost constraints limit the quantity and quality of the information that is available to us. Moreover, we only retain a relatively small amount of information in our usable memory. And limitations on intelligence and perceptions constrain the ability of even very bright decision makers to accurately make the best choice based on the information that is available.

About 15 years after the publication of Simon’s seminal work, Tversky and Kahneman (1973, 1974; Kahneman & Tversky, 1979) produced their own Nobel Prize–winning research, which provided critical information about specific systematic and predictable  biases , or mistakes, that influence judgment (Kahneman received the prize after Tversky’s death). The work of Simon, Tversky, and Kahneman paved the way to our modern understanding of judgment and decision making. And their two Nobel prizes signaled the broad acceptance of the field of behavioral decision research as a mature area of intellectual study.

What Would a Rational Decision Look Like?

Imagine that during your senior year in college, you apply to a number of doctoral programs, law schools, or business schools (or another set of programs in whatever field most interests you). The good news is that you receive many acceptance letters. So, how should you decide where to go? Bazerman and Moore (2013) outline the following six steps that you should take to make a rational decision:

(1) define the problem (i.e., selecting the right graduate program)

(2) identify the criteria necessary to judge the multiple options (location, prestige, faculty, etc.)

(3) weight the criteria (rank them in terms of importance to you)

(4) generate alternatives (the schools that admitted you)

(5) rate each alternative on each criterion (rate each school on each criteria that you identified

(6) compute the optimal decision. Acting rationally would require that you follow these six steps in a fully rational manner.

I strongly advise people to think through important decisions such as this in a manner similar to this process. Unfortunately, we often don’t. Many of us rely on our intuitions far more than we should. And when we do try to think systematically, the way we enter data into such formal decision-making processes is often biased.

Fortunately, psychologists have learned a great deal about the biases that affect our thinking. This knowledge about the systematic and predictable mistakes that even the best and the brightest make can help you identify flaws in your thought processes and reach better decisions.

Biases in Our Decision Process

Simon’s concept of bounded rationality taught us that judgment deviates from rationality, but it did not tell us  how  judgment is biased. Tversky and Kahneman’s (1974) research helped to diagnose the specific systematic, directional biases that affect human judgment. These biases are created by the tendency to short-circuit a rational decision process by relying on a number of simplifying strategies, or rules of thumb, known as  heuristics . Heuristics allow us to cope with the complex environment surrounding our decisions. Unfortunately, they also lead to systematic and predictable biases.

To highlight some of these biases please answer the following three quiz items:

Problem 1 (adapted from Alpert & Raiffa, 1969):

Listed below are 10 uncertain quantities. Do not look up any information on these items. For each, write down your best estimate of the quantity. Next, put a lower and upper bound around your estimate, such that you are 98 percent confident that your range surrounds the actual quantity. Respond to each of these items even if you admit to knowing very little about these quantities.

• The first year the Nobel Peace Prize was awarded
• The date the French celebrate “Bastille Day”
• The distance from the Earth to the Moon
• The height of the Leaning Tower of Pisa
• Number of students attending Oxford University (as of 2014)
• Number of people who have traveled to space (as of 2013)
• 2012-2013 annual budget for the University of Pennsylvania
• Average life expectancy in Bangladesh (as of 2012)
• World record for pull-ups in a 24-hour period
• Number of colleges and universities in the Boston metropolitan area

Problem 2 (adapted from Joyce & Biddle, 1981):

We know that executive fraud occurs and that it has been associated with many recent financial scandals. And, we know that many cases of management fraud go undetected even when annual audits are performed. Do you think that the incidence of significant executive-level management fraud is more than 10 in 1,000 firms (that is, 1 percent) audited by Big Four accounting firms?

• Yes, more than 10 in 1,000 Big Four clients have significant executive-level management fraud.
• No, fewer than 10 in 1,000 Big Four clients have significant executive-level management fraud.

What is your estimate of the number of Big Four clients per 1,000 that have significant executive-level management fraud? (Fill in the blank below with the appropriate number.)

________ in 1,000 Big Four clients have significant executive-level management fraud.

Problem 3 (adapted from Tversky & Kahneman, 1981):

Imagine that the United States is preparing for the outbreak of an unusual avian disease that is expected to kill 600 people. Two alternative programs to combat the disease have been proposed. Assume that the exact scientific estimates of the consequences of the programs are as follows.

• Program A: If Program A is adopted, 200 people will be saved.
• Program B: If Program B is adopted, there is a one-third probability that 600 people will be saved and a two-thirds probability that no people will be saved.

Which of the two programs would you favor?

Overconfidence

On the first problem, if you set your ranges so that you were justifiably 98 percent confident, you should expect that approximately 9.8, or nine to 10, of your ranges would include the actual value. So, let’s look at the correct answers:

• 14th of July
• 384,403 km (238,857 mi)
• 56.67 m (183 ft)
• 22,384 (as of 2014)
• 536 people (as of 2013)
• $6.007 billion
• 70.3 years (as of 2012)

Count the number of your 98% ranges that actually surrounded the true quantities. If you surrounded nine to 10, you were appropriately confident in your judgments. But most readers surround only between three (30%) and seven (70%) of the correct answers, despite claiming 98% confidence that each range would surround the true value. As this problem shows, humans tend to be  overconfident  in their judgments.

Regarding the second problem, people vary a great deal in their final assessment of the level of executive-level management fraud, but most think that 10 out of 1,000 is too low. When I run this exercise in class, half of the students respond to the question that I asked you to answer. The other half receive a similar problem, but instead are asked whether the correct answer is higher or lower than 200 rather than 10. Most people think that 200 is high. But, again, most people claim that this “ anchor ” does not affect their final estimate. Yet, on average, people who are presented with the question that focuses on the number 10 (out of 1,000) give answers that are about one-half the size of the estimates of those facing questions that use an anchor of 200. When we are making decisions, any initial anchor that we face is likely to influence our judgments, even if the anchor is arbitrary. That is, we insufficiently adjust our judgments away from the anchor.

Turning to Problem 3, most people choose Program A, which saves 200 lives for sure, over Program B. But, again, if I was in front of a classroom, only half of my students would receive this problem. The other half would have received the same set-up, but with the following two options:

• Program C: If Program C is adopted, 400 people will die.
• Program D: If Program D is adopted, there is a one-third probability that no one will die and a two-thirds probability that 600 people will die.

Careful review of the two versions of this problem clarifies that they are objectively the same. Saving 200 people (Program A) means losing 400 people (Program C), and Programs B and D are also objectively identical. Yet, in one of the most famous problems in judgment and decision making, most individuals choose Program A in the first set and Program D in the second set (Tversky & Kahneman, 1981). People respond very differently to saving versus losing lives—even when the difference is based just on the “ framing ” of the choices.

The problem that I asked you to respond to was framed in terms of saving lives, and the implied reference point was the worst outcome of 600 deaths. Most of us, when we make decisions that concern gains, are risk averse; as a consequence, we lock in the possibility of saving 200 lives for sure. In the alternative version, the problem is framed in terms of losses. Now the implicit reference point is the best outcome of no deaths due to the avian disease. And in this case, most people are risk seeking when making decisions regarding losses.

These are just three of the many biases that affect even the smartest among us. Other research shows that we are biased in favor of information that is easy for our minds to retrieve, are insensitive to the importance of base rates and sample sizes when we are making inferences, assume that random events will always look random, search for information that confirms our expectations even when disconfirming information would be more informative, claim a priori knowledge that didn’t exist due to the hindsight bias, and are subject to a host of other effects that continue to be developed in the literature (Bazerman & Moore, 2013).

Contemporary Developments

My colleagues and I have recently added two other important bounds to the list. Chugh et al. (2005) and Banaji and Bhaskar (2000) introduced the concept of  bounded ethicality , which refers to the notion that our ethics are limited in ways we are not even aware of ourselves. Second, Chugh and Bazerman (2007) developed the concept of  bounded awareness  to refer to the broad array of focusing failures that affect our judgment, specifically the many ways in which we fail to notice obvious and important information that is available to us.

A final development is the application of judgment and decision-making research to the areas of behavioral economics, behavioral finance, and behavioral marketing, among others. In each case, these fields have been transformed by applying and extending research from the judgment and decision-making literature.

Fixing Our Decisions

Ample evidence documents that even smart people are routinely impaired by biases. Early research demonstrated, unfortunately, that awareness of these problems does little to reduce bias (Fischhoff, 1982). The good news is that more recent research documents interventions that do help us overcome our faulty thinking (Bazerman & Moore, 2013).

One critical path to fixing our biases is provided in Stanovich and West’s (2000) distinction between  System 1  and  System 2  decision making. System 1 processing is our intuitive system, which is typically fast, automatic, effortless, implicit, and emotional. System 2 refers to decision making that is slower, conscious, effortful, explicit, and logical. The six logical steps of decision making outlined earlier describe a System 2 process.

Clearly, a complete System 2 process is not required for every decision we make. In most situations, our System 1 thinking is quite sufficient; it would be impractical, for example, to logically reason through every choice we make while shopping for groceries. But, preferably, System 2 logic should influence our most important decisions. Nonetheless, we use our System 1 processes for most decisions in life, relying on it even when making important decisions.

The key to reducing the effects of bias and improving our decisions is to transition from trusting our intuitive System 1 thinking toward engaging more in deliberative System 2 thought. Unfortunately, the busier and more rushed people are, the more they have on their minds, and the more likely they are to rely on System 1 thinking (Chugh, 2004). The frantic pace of professional life suggests that executives often rely on System 1 thinking (Chugh, 2004).

Fortunately, it is possible to identify conditions where we rely on intuition at our peril and substitute more deliberative thought. One fascinating example of this substitution comes from journalist Michael Lewis’ (2003) account of how Billy Beane, the general manager of the Oakland Athletics, improved the outcomes of the failing baseball team after recognizing that the intuition of baseball executives was limited and systematically biased and that their intuitions had been incorporated into important decisions in ways that created enormous mistakes. Lewis (2003) documents that baseball professionals tend to overgeneralize from their personal experiences, be overly influenced by players’ very recent performances, and overweigh what they see with their own eyes, despite the fact that players’ multiyear records provide far better data. By substituting valid predictors of future performance (System 2 thinking), the Athletics were able to outperform expectations given their very limited payroll.

Another important direction for improving decisions comes from Thaler and Sunstein’s (2008) book  Nudge: Improving Decisions about Health, Wealth, and Happiness. Rather than setting out to debias human judgment, Thaler and Sunstein outline a strategy for how “decision architects” can change environments in ways that account for human bias and trigger better decisions as a result. For example, Beshears et al. (2008) have shown that simple changes to defaults can dramatically improve people’s decisions. They tackle the failure of many people to save for retirement and show that a simple change can significantly influence enrollment in 401(k) programs. In most companies, when you start your job, you need to proactively sign up to join the company’s retirement savings plan. Many people take years before getting around to doing so. When, instead, companies automatically enroll their employees in 401(k) programs and give them the opportunity to “opt out,” the net enrollment rate rises significantly. By changing defaults, we can counteract the human tendency to live with the status quo.

Similarly, Johnson and Goldstein’s (2003) cross-European organ donation study reveals that countries that have opt-in organ donation policies, where the default is not to harvest people’s organs without their prior consent, sacrifice thousands of lives in comparison to opt-out policies, where the default is to harvest organs. The United States and too many other countries require that citizens opt in to organ donation through a proactive effort; as a consequence, consent rates range between 4.25%–44% across these countries. In contrast, changing the decision architecture to an opt-out policy improves consent rates to 85.9% to 99.98%. Designing the donation system with knowledge of the power of defaults can dramatically change donation rates without changing the options available to citizens. In contrast, a more intuitive strategy, such as the one in place in the United States, inspires defaults that result in many unnecessary deaths.

Take a Quiz

An (optional) quiz is available for this chapter at the Noba Project’s website. 

Discussion Questions

• Are the biases in this module a problem in the real world?
• How would you use this module to be a better decision maker?
• Can you see any biases in today’s newspaper?

Outside Resources

• Alpert, M., & Raiffa, H. (1969). A progress report on the training of probability assessors. Unpublished Report.
• Banaji, M. R., & Bhaskar, R. (2000). Implicit stereotypes and memory: The bounded rationality of social beliefs. In D. L. Schacter & E. Scarry (Eds.),  Memory, brain, and belief  (pp. 139–175). Cambridge, MA: Harvard University Press.
• Bazerman, M. H., & Moore, D. (2013).  Judgment in managerial decision making  (8th ed.). John Wiley & Sons Inc.
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Max H. Bazerman is the Jesse Isidor Straus Professor at the Harvard Business School and the co-director of the Center for Public Leadership at the Harvard Kennedy School of Government.  Max’s awards include a 2006 honorary doctorate from the University of London (London Business School), the Lifetime Achievement Award from the Aspen Institute, and being named as one of Ethisphere’s 100 Most Influential in Business Ethics.  Details at www.people.hbs.edu/mbazerman.

Model of human behavior that suggests that humans try to make rational decisions but are bounded due to cognitive limitations.

The systematic and predictable mistakes that influence the judgment of even very talented human beings.

attentional shortcuts which guide evaluations

The bias to have greater confidence in your judgment than is warranted based on a rational assessment.

The bias to be affected by an initial anchor [number, idea, etc.], even if the anchor is arbitrary, and to insufficiently adjust our judgments away from that anchor.

The bias to be systematically affected by the way in which information is presented, while holding the objective information constant.

The systematic and predictable ways in which we care about the outcomes of others.

The systematic ways in which our ethics are limited in ways we are not even aware of ourselves.

The systematic ways in which we fail to notice obvious and important information that is available to us.

Our intuitive decision-making system, which is typically fast, automatic, effortless, implicit, and emotional.

Our more deliberative decision-making system, which is slower, conscious, effortful, explicit, and logical.

Judgment and Decision Making Copyright © 2021 by Cameron W. Piercy, Ph.D. is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Navigating Complex, Ethical Problems in Professional Life: a Guide to Teaching SMART Strategies for Decision-Making

Tristan mcintosh.

1 Bioethics Research Center, Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, USA

Alison L. Antes

James m. dubois.

This article demonstrates how instructors of professionalism and ethics training programs can integrate a professional decision-making tool in training curricula. This tool can help trainees understand how to apply professional decision-making strategies to address the threats posed by a variety of psychological and environmental factors when they are faced with complex professional and ethical situations. We begin by highlighting key decision-making frameworks and discussing factors that may undermine the use of professional decision-making strategies. Then, drawing upon findings from past research, we present the “SMART” professional decision-making framework: seeking help, managing emotions, anticipating consequences, recognizing rules and context, and testing assumptions and motives. Next, we present a vignette that poses a complex ethical and professional challenge and illustrate how each professional decision-making strategy could or should be used by characters in the case. To conclude, we review a series of educational practices and pedagogical tools intended to help trainers facilitate trainee learning, retention, and application of “SMART” decision-making strategies.

Our aim is to illustrate how to effectively educate professionals on ways to apply decision-making strategies when they are faced with complex professional and ethical issues. Appropriate and effective application of these strategies is a trainable skill that can be developed in individuals from a range of backgrounds, disciplines, and career stages. We first explore the complexities of professional decision-making in a research context and highlight an innovative compensatory strategy framework. Then, we present a case example of proper and improper application of these strategies when navigating complex professional and ethical situations. We then showcase pedagogical techniques intended to integrate these compensatory strategies into training activities and facilitate retention and application of these strategies. The term “trainees” is used throughout and refers to any individual, regardless of career stage, who learns from and takes part in training on professional decision-making strategies. In sum, the intent of the present effort is to describe how to provide trainees with strategy-based knowledge and skills needed for professional decision-making. These strategies ultimately serve to facilitate better ethical decision-making and professionalism.

Professional Decision-Making Frameworks

Professionals, including those who conduct research, regularly face complex circumstances that require professional decision-making skills. Although professionalism has been defined in multiple ways, for the purposes of the present effort, we define professionalism as integrating ethics and other relevant factors (e.g., competence, collegiality, institutional and departmental culture) needed to ensure public trust and achieve the goals of the profession (e.g., healing in medicine, generating new knowledge in research) ( Stern and Papadakis 2006 ; Swick 2000 ; van Mook et al. 2009 ). Unfortunately, the nature of situations professionals encounter and unconscious self-serving biases all professionals have may undermine the effectiveness of professional decision-making. Therefore, professional decision-making necessitates careful navigation and includes weighing different options to address the issue at hand, forecasting likely implications of actions, and gathering more information from multiple reliable sources ( Antes et al. 2010 ; Stenmark et al. 2011 ).

Two different frameworks of professional decision-making can be useful when professionals are confronted with these challenging circumstances: 1) a rational decision-making framework ( Goodwin et al. 1998 ; Oliveira 2007 ), and 2) a psychological framework ( DuBois et al. 2015a ; Mumford et al. 2008 ). Rational decision-making, also referred to as normative decision-making, is characterized by adherence to a set of established principles that guide decision-making, often in a group setting ( Hoch et al. 2001 ; Oliveira 2007 ). Specifically, rational decision-making involves the identification of key components of a situation and justifying decisions related to this situation when different viewpoints are in conflict with one another ( DuBois 2008b , 2013 ). Moreover, those who engage in rational decision-making analyze a number of possible alternative outcomes prior to making a definitive choice and make their decision based on the most likely and best possible outcome ( Hoch et al., 2001 ). This type of decision-making lends itself well to circumstances when professionals are unsure how to address an ethical dilemma, when a group is trying to establish best policies, or when there is disagreement among stakeholders on issues such as relevant facts and norms ( DuBois 2013 ). As it relates to ethical dilemmas, rational decision-making facilitates identification of key ethical concerns that society acknowledges as integral to rational discussions about ethical issues ( DuBois 2013 ).

The psychological framework related to professional decision-making is characterized by a confluence of situational complexities and self-serving biases that influence the way people frame and approach problems ( Bazerman and Moore 2013 ; Mumford et al. 2008 ). Oftentimes, a “correct” or “best” approach to these problems may not be apparent because of factors such as conflicting interests or needing to address concerns of multiple stakeholders ( Dana and Loewenstein 2003 ; Mumford et al. 2007 ; Weick et al. 2005 ). Being able to make sense of and effectively respond to these problems hinges on one’s ability to manage biases and attend to and utilize relevant information appropriately. This approach to professional decision-making lends itself well to situations in which professionals, when faced with complex ethical dilemmas, intend to take the best course of action but have difficulty doing so due to personal and environmental constraints ( Antes 2013 ). Such constraints may include complexity of social dynamics, heightened emotions, conscious and unconscious biases, uncertainty, and ambiguity.

The present effort will highlight strategies intended to facilitate the psychological framework of professional decision-making, as opposed to rational decision-making, because these strategies enable bias management and quality information integration, application, and synthesis. Moreover, these strategies are beneficial in situations where environmental constraints act to undermine an individual’s intent to take the best possible course of action. These strategies help professionals deal with moral distress, situational limitations (e.g., political tensions, increases in regulations, cultural differences), and internal limitations (e.g., ignoring key elements of a situation, self-centered thinking, unwarranted certainty) ( DuBois et al. 2016 , 2015b ).

In what follows, we will demonstrate the utility of a psychological decision-making framework within the context of the research profession, the SMART professional decision-making framework: s eeking help, m anaging emotions, a nticipating consequences, r ecognizing rules and context, and t esting assumptions and motives. Research provides a useful context for illustrating SMART strategy training because research frequently involves complexity, ambiguity, assumptions, stress, ethical considerations, and conflicts of interest. Further, ethics training is mandated for all federally-funded research trainees and many key personnel on grants involving human or animal subjects. We believe the SMART professional decision-making framework can add value to ethics training programs in research and other professions.

Constraints to Professional Decision-Making

Several factors can interfere with optimal professional decision-making. We discuss four factors that can be effectively addressed through the use of SMART decision-making strategies: Complexity, ambiguity, biases, and unusually high or negative emotions.

Professionals must carefully address and navigate complex and dynamic issues throughout their careers. For researchers, complexity often characterizes data management, mentoring relationships, protection of research participants, institutional hierarchies, and conflicts of interest ( Anderson et al. 2007 ; DuBois 2008a ; Jahnke and Asher 2014 ). These issues oftentimes involve multiple competing goals, guidelines, and stakeholder interests and are not simple to address ( Werhane 2008 ).

For example, a researcher may have competing interests between their funding agency’s research priorities and their own profession’s methodological norms and standards. These conflicting interests and complex relationships between funding agencies and researchers may undermine confidence in the quality of research being conducted if not appropriately managed ( Irwin 2009 ). Researchers are responsible for identifying and navigating conflicts of interest. Navigating conflicts of interest necessitates reconciling conflicting values, perspectives, and agendas of multiple stakeholders at the individual, institutional, governmental, and national levels. Failing to do so may result in public mistrust of research, harm to others, tarnished personal and professional relationships, or ruined careers. Thus, professional decision-making strategies can be applied when attempting to identify, prioritize, and reconcile complex stakeholder interests. The multifaceted nature of ethical and professional situations in a research context has the potential to derail professional decision-making if not handled appropriately.

Uncertainty

It is common for individuals in research fields to be exposed to new and unfamiliar environments and projects where considerable gaps in knowledge may exist. Uncertainty may arise when regulations grow in complexity over time, when a researcher moves into a new research space, or when a researcher moves to a new nation with a different culture or an unfamiliar set of rules and norms ( Antes et al. 2017 ; DuBois et al. 2016 ). Navigating social and professional life in a new culture, with a new language, and with possibly different ethical standards can be challenging and stressful.

Uncertainty may inadvertently lead to the misinterpretation of norms and other social and professional cues integral to making professional and ethical decisions ( Palazzo et al. 2012 ). This is because individuals may lack essential information needed for interpreting a given situation appropriately ( Sonenshein 2007 ), which may result in failure to think of long-term downstream consequences of their actions or failure to consider the entire range of possible courses of action. Moreover, “unknown unknowns” may result in a breakdown of quality professional decision making if help is not sought from other individuals or resources that are able to provide sound guidance on these issues.

For example, a lab manager may task a new postdoctoral fellow with collecting data from participants using a certain technique, but the postdoc may be unfamiliar with the standard procedures for doing so. Tense lab dynamics between the lab manager and other lab members may worsen this uncertainty by making it uncomfortable or difficult for the postdoc to seek help from another lab mate. Similarly, these lab dynamics may signal to the postdoc that limited or hostile communication is the norm in the lab, which may prompt the postdoc to proceed with their work in isolation. Failure to seek help due to social ambiguities may result in costly protocol violations or detrimental outcomes for both the participants and researchers involved. Without proper use of professional decision-making strategies, facing uncertainty or unfamiliar norms may lead to poor decision-making and negative consequences.

Despite even the best intentions to maintain objectivity, professionals may be subject to unconscious biases when processing information ( Hammond et al. 1998 ; Kahneman 2003 ; Palazzo et al. 2012 ). This poses a considerable challenge to professionals who aim to accurately and objectively process available information relevant to a given situation and to make a sensible, unbiased decision ( Bazerman and Moore 2013 ). Many of these judgment errors, or cognitive distortions, are automatic, making it challenging for individuals to fully understand the negative influence of biases on decision-making and information processing ( Kahneman 2003 ; Moore and Loewenstein 2004 ). Biases such as rationalization ( Davis et al. 2007 ; DuBois et al. 2015a ), tunnel vision ( Posavac et al. 2010 ), self-preservation ( Bandura et al. 1996 ; Oreg and Bayazit 2009 ), rigorous adherence to the status-quo ( Samuelson and Zeckhauser 1988 ), and diffusion of responsibility ( Voelpel et al. 2008 ) may contribute to flawed decision-making on the part of professionals.

To illustrate, a researcher may cut corners during the informed consent process as they think to themselves, “nobody reads consent forms anyway” (i.e., assuming the worst) ( DuBois et al. 2015a ). In yet another example, a researcher may decide to drop outliers from a dataset without reporting it as they think to themselves, “it’s not like I fabricated any data” (i.e., euphemistic comparison). Both of these examples depict poor professionalism. These biased behaviors may occur subconsciously or be actively justified by an individual as in the cases above ( DuBois et al. 2015a ). Regardless, the characters in these examples failed to utilize professional decision-making strategies that could have helped inoculate against the effects of detrimental self-serving biases.

While professional decision-making requires a certain degree of objective and rational thought in order to be successful, professionals are not always rational and objective in their approach to making decisions ( Kahneman et al. 2011 ; Tenbrunsel et al. 2010 ). It is easy to see how heightened emotions could undermine professional decision-making, for example, when working long hours, applying for intensely competitive grant funding, dealing with a difficult colleague, or trying to impress a world-famous and notably erudite senior faculty member. Stress, negative emotions, or intense emotions left unregulated or unacknowledged have been shown to lessen the cognitive resources needed for effective professional decision-making ( Gino et al. 2011 ; Haidt 2001 ; Mead et al. 2009 ). When cognitive resources are depleted, reasoning is impaired and individuals tend to make hasty, biased decisions ( Angie et al. 2011 ; Bazerman and Moore 2013 ; Gross 2013 ). Professional decision-making strategies can help counteract these effects.

SMART Strategies

Despite obstacles to effective professional decision-making, certain compensatory strategies exist that enable professionals to help offset these obstacles. Taking a structured approach to making these decisions can help professionals effectively apply strategies that guide ethical decision-making, bias management, and quality information processing ( Bornstein and Emler 2001 ; DuBois et al. 2018 ; Thiel et al. 2012 ). Furthermore, this systematized thought process balances the aforementioned constraints that can negatively influence professional decision-making ( DuBois et al. 2015b ).

Building on the sensemaking work of Mumford ( Mumford et al. 2008 ) and the bias reduction work of Gibbs ( Gibbs et al. 1995 ), DuBois and his colleagues ( DuBois 2014 ; DuBois et al. 2015b ) in the Professionalism and Integrity in Research Program (P.I. Program) developed a structured decision-making aid to help professionals remember and recall a comprehensive set of compensatory strategies. Strategy-based training has proven to be effective in developing cognitive skills ( Clapham 1997 ), and has met success in increasing professional decision-making in the P.I. Program ( DuBois et al. 2018 ). These strategies shape professional decision-making and help professionals work through ethical dilemmas. Professional decision-making strategies comprise the acronym “SMART”, and encompass five domains: Seek help, Manage emotions, Anticipate consequences, Recognize rules and context, and Test assumptions and motives. Table 1 depicts key dimensions of each strategy and reflection questions that can be used to apply each strategy. While these strategies have distinct components, they are related to one another and conceptually overlap. Each professional decision-making strategy is described in detail below.

SMART strategies

Seeking Help

This strategy is characterized by 1) gathering information such as facts, options, and potential outcomes, 2) requesting the mediation of an objective third party, and 3) asking for and welcoming feedback and correction. By deliberately processing context-relevant information and consulting with objective others, it is possible to correct for biases and challenge initial assumptions ( Sonenshein 2007 ). This allows the information that may have been formerly disregarded or misconstrued to be revealed and utilized effectively ( Mumford et al. 2008 ). When attempting to apply this strategy, professionals should reflect on questions such as, “Do I welcome feedback or input from others?”, “Where could I seek additional unbiased, objective information or opinions?”, or “Have I owned up to mistakes and apologized to all involved to move forward?”

Managing Emotions

The strategy of managing stress and emotion is characterized by 1) identifying the emotions being experienced, 2) managing those emotions, and 3) acknowledging both positive and negative emotions such as excitement and anxiety. When attempting to apply this strategy, professionals should ask themselves questions such as, “What are my emotional reactions to this situation?”, “How are my emotions influencing my decision-making?”, “Would taking a timeout or a deep breath help the situation?”

Anticipating Consequences

The strategy of anticipating consequences is characterized by 1) anticipating consequences to both oneself and others, 2) anticipating both long-term and short-term consequences, 3) anticipating both positive and negative consequences, 4) considering formal and informal responses, and 5) managing and mitigating risk. When attempting to apply this strategy, professionals should reflect on questions such as, “What are the likely short- and long-term outcomes of a variety of choices?”, “Who will be affected by my decisions and how?” and “How can risks be minimized and benefits be maximized?”

Recognizing Rules and Context

This strategy is characterized by 1) recognizing formal rules, such as laws and policies, 2) recognizing informal rules, such as social norms, and 3) recognizing the power dynamics of individuals involved in a given situation. Professionals attempting to apply this strategy should ask themselves, “What are the causes of the problem in this situation that I can change?”, “What ethical principles, laws, or regulations apply in this situation?”, and “Who are the decision-makers in this situation?”

Testing Assumptions and Motives

This strategy is characterized by 1) addressing the possibility you might be making faulty assumptions, 2) examining your motives compared to the motives of others, and 3) comparing your assumptions and motives with those of others in an empathetic manner. When attempting to apply this strategy, professionals should reflect on questions such as, “Could I be making faulty assumptions about the intentions of others?”, “What are my motives?”, and “How will others view my choices?”

Not only have compensatory strategies been demonstrated to be a helpful tool for high-quality professional decision-making, but these strategies are also learnable, trainable, and applicable to a wide variety of challenges and situations ( DuBois et al. 2015b ; Kligyte et al. 2008 ). The generalizability of strategies is noteworthy because they apply across contexts (e.g., human subjects research, animal research, translational research) and challenges faced by professionals (e.g., compliance, personnel management, integrity, bias). Moreover, these compensatory strategies, when applied correctly, can facilitate more critical analysis of a problem, improve information gathering and information evaluation, and contribute to better decision-making that leads individuals to make more professional and ethical decisions ( DuBois et al. 2015b ; Thiel et al. 2012 ).

Compensatory Strategy Case Application

Below we present a case with an ethical, professional dilemma and discuss how each SMART strategy can be properly applied in this example. We then caution against flawed application of these SMART strategies and highlight potential pitfalls to effective strategy application. It should be noted that, while the main character in the following case is a research assistant, applying the SMART strategies is a skill that can be learned and utilized by individuals across career stages and professions. The dilemma is as follows:

Sara is a new research assistant in the social science lab of Dr Jackson. She recently emigrated from China. Knowing that Sara is great with quantitative data analysis, Dr. Jackson asked her to run some statistics on data gathered by other research assistants on a National Science Foundation (NSF) grant that Dr. Jackson received two years ago. She ran the statistics, but none of Dr. Jackson’s hypotheses were confirmed. She thinks the study was simply under-powered. When she speaks with Dr. Jackson, he tells her she is mistaken and he asks her to run the tests again. She does so with the same results as before. This time, Dr. Jackson is angry, calls her incompetent, and says he will give her one more chance before he hires a new research assistant to run the statistics. Sara is fearful that she will lose her student visa if she loses her funded position. She drops several outliers and changes the data for several subjects and produces results that Dr. Jackson likes very much.

The above illustration is a great teaching case because, at first glance, Sara appears to be a victim: Dr. Jackson did not help her to do good work; rather, he bullied her to get the results he wanted. At the same time, the case perfectly illustrates a failure to use good decision-making strategies in a stressful situation with competing interests where few good options readily present themselves. Sara made a very bad decision: she committed research misconduct through her data falsification, the project was federally-funded, and now she and her institution could be prosecuted for this federal crime. While not every difficult situation requires the use of every one of the SMART strategies, Sara may have benefited from using each of them.

Sara could have asked other research assistants, graduate students, or postdocs for help with addressing problems with analyses and strategies for approaching and communicating with Dr. Jackson. If issues with Dr. Jackson had been persistent overtime, Sara could have sought support from colleagues or other faculty members who could provide advice for navigating the troubling work relationship. Ideally, the environment in the department would allow Sara to feel comfortable approaching another faculty member or others for help. Sara could have referred to objective field standards for conducting the analyses and determining how to proceed after unsuccessful analyses. After conducting the initial analyses, Sara could have asked a member in her lab to re-run the analyses with her in attempt to address any potential mistakes. Doing so may have affirmed her initial findings and assuaged concerns that she had approached the analyses incorrectly. Sara could have involved a mediator, such as a university ombudsperson, to help find a viable solution if she was unable to do so after exhausting the aforementioned options. A more complete picture presents itself after seeking help and additional information, and more ethical and professional courses of action become more apparent.

Because of the threat the situation poses to Sara’s personal and professional goals, emotions run high in this scenario. Sara wishes to be successful in her career and education, maintain her position in the United States, and earn Dr. Jackson’s approval. Sara is also likely aware that Dr. Jackson wishes to maintain a successful reputation in his field, publish interesting findings, and be productive throughout his career. She should introspectively identify her emotional reactions of anxiety, fear, frustration, and stress. When Sara was chastised by Dr. Jackson, she could have taken a “time out” to calm down and acknowledge how her emotions could override taking a more rational approach to addressing the problem instead of hastily reacting to Dr. Jackson’s response. At a broader level, taking time to manage stress each day would help Sara cope with the pressures and day-to-day stressors of her work. By identifying and managing the range of emotions experienced when faced with ethical and professional situations, clearer and more thoughtful judgment is likely to result.

Considering both the long-term and short-term consequences for all possible individuals is central to making a quality professional and ethical decision. Specifically, Sara should consider how falsifying data could end up negatively impacting not only her career trajectory and her immediate ability to work in the United States, but the careers and reputations of Dr. Jackson, her fellow lab mates, and the university where she works. Data falsification also undermines public trust in the field and scientific enterprise more broadly. In addition to attempting to minimize risk, Sara could have also considered how to maximize the benefits of, or make the best of, the situation. Perhaps by addressing the limitations of the analytical approach and bringing the analysis issue to light, a learning opportunity for everyone in the lab could have presented itself, paving the way for smoother management of similar situations in the future. Forecasting downstream consequences for all individuals that could be impacted by a given course of action is essential to maximizing benefits and minimizing harm to oneself and others.

Taking time to identify formal laws and policies and informal professional and social norms will help elucidate the context in which an ethical or professional dilemma unfolds. Sara could have identified the causes of problems and tensions in the situation, including publication pressures, Sara being new to the job, job stressors, and the like. By doing so, she could have more concretely comprehended the factors that limit her choices and could have avoided tunnel vision or narrow-mindedness in approaching the problem. Sara could have taken time to reflect on relevant ethical principles and regulations as they relate to falsifying data. Doing so may have cued her to not manipulate the data to obtain certain findings.

For better or worse, Dr. Jackson is her supervisor, and she must figure out a way to navigate the interpersonal problem in the case: He is upset and has threatened to fire her. Some of the strategies described above under “Seeking Help” might assist her in navigating the political dimension of this situation. Additionally, if these strategies fail, she should recognize that Dr. Jackson’s lab is situated within a larger institutional context. She could have reached out to other individuals within the university (e.g., department chair, research integrity officer) who prioritize responsible research and mentoring after exhausting alternative courses of action. These individuals, in turn, could have provided support and helped Sara navigate a path forward. Realizing the entirety of the context opens up a wider realm of options in navigating this challenging and threatening situation.

Understanding the motives of oneself and others provides the opportunity to consider multiple perspectives and take steps to avoid biased decision-making. While it can be challenging when one feels affronted, it can be helpful to consider the perspective and motives of other parties in the situation. For example, Sara could have considered whether Dr. Jackson was having a stressful day and overreacted when she initially approached him. She could have better managed self-serving and self-protecting biases perpetuated by her fear of not being allowed to work in Dr. Jackson’s lab by acknowledging how they may be distorting her perception of the situation. Sara might have questioned whether her analysis was correct; perhaps she did make an error and the study was not underpowered. That is, Sara should have questioned her assumption that, if she did conduct the analyses correctly, falsifying data was the only available option that would allow her to keep her position. Seldom is professional decision-making served well by engaging in simplistic either-or thinking. It is likely that multiple alternate courses of action would have presented themselves if she had engaged these strategies. Being proactive in managing biases by engaging in self-reflection and considering the perspectives and motives of others is beneficial to quality professional decision-making.

Questioning one’s assumptions is also a classic emotion management strategy used in cognitive behavioral therapy. Sometimes just realizing that we are making assumptions about how others perceive the situation and about our limited options can relieve anxiety.

Evaluate and Revise

If one wishes to take these strategies a step further to engage in “SMART-ER” professional decision-making, they can: 1) Evaluate their decision and its outcomes and 2) Revise future behavior in similar situations. By acknowledging what did and did not work well in past situations and attempts at strategy use, modified and improved approaches to professional decision-making can be taken when faced with other professional and ethical challenges in the future.

Considerations for Applying SMART Strategies

While the SMART strategies are an excellent tool for professional decision-making, it is equally important to recognize the several important considerations when utilizing this approach. While a five-part decision-making aid has the opportunity to be highly useful for navigating complex, ambiguous professional situations, it is not a perfect algorithm or panacea for all ethical and professional conundrums. Given situational limitations and available contextual information, it may not always be possible to use each strategy fully, and challenges navigating the problem will still exist. Not all strategies will be equally applicable across all situations and may not be applied in the same order in all situations. However, SMART strategies are generalizable to myriad contexts, professions, and dilemmas and are not limited to major ethical transgressions such as fabrication, falsification, and plagiarism.

An additional consideration for using SMART strategies is that people may have a preference for or tendency to use one strategy over the others. While the SMART strategies are interrelated, over-attending to one strategy may result in biased or incomplete information gathering and information processing and, ultimately, sub-optimal professional decisions. When individuals face emotional, stressful, or ethically-charged situations, it is important that they consider and use multiple strategies to inform well-rounded decision-making. When educating trainees on SMART strategies, educators should encourage trainees to use a balanced approach and consider multiple strategies.

Perhaps one of the most considerable challenges educators may encounter is motivating trainees to use these compensatory strategies regularly. Simply teaching the strategies does not guarantee constructive application of strategies. In situations where individuals are overconfident or rushed to solve a problem that needs to be resolved quickly, immediately turning to the SMART strategies is unlikely to be an automatic course of action. Furthermore, if individuals engage in cognitive distortions in such a way that disengages from compliance or harms quality professional decision-making, they may fail to see the need or utility of SMART strategies ( DuBois et al. 2015a ). Educators should make professionals aware of how they might fall prey to these pitfalls.

A final consideration is that other mechanisms exist aside from training professionals to use SMART strategies that reinforce the recall and application of professional decision-making strategies. Such mechanisms include creating ethical and supportive organizational and departmental cultures, developing and enacting ethical leadership and management practices, and establishing institutional policies and procedures that reinforce the use of professional decision-making strategies.

Training SMART Strategies

Below, we examine practices that are useful in conducting professional decision-making training programs and creating pedagogical tools that can be implemented by a research ethics or professionalism course instructor. We focus on training practices designed for adult learners that support their professional growth and advancement ( Knowles et al. 2012 ). This is not an exhaustive list of considerations for designing and planning for an ethics or professionalism training program, and a systematic approach should be taken when developing any instructional program ( Antes 2014 ; Antes and DuBois 2014 ). Rather, the pedagogical practices described below were selected because of their implications for the transfer of complex skills, such as professional decision-making, to the workplace after training has occurred. That is, facilitating trainee learning, retention, and application of the content learned during training is essential to improving professional decision-making and making the training successful ( Noe 2013 ).

SMART Training Program Practices

Establish learning objectives.

Prior to presenting training content, provide trainees with stated objectives of the training program that define the expected outcomes of training and what it is they will be expected to accomplish as a result of completing the training ( Moore et al. 2008 ). Doing so alerts trainees to what is important and helps consolidate learning. Learning objectives have three components: 1) a statement of expected performance standard or outcome, 2) a statement of the quality or level of expected performance, and 3) a statement of the conditions when a trainee is expected to perform the skill learned in training ( Mager 1997 ). An example learning objective for a professional decision-making, or “SMART” strategies-focused, training is: Trainees will be able to apply professional decision-making strategies when they are faced with uncertain, complex, and high-stakes professional and ethical decisions in the workplace.

Create Meaningful Content

Explaining to trainees how a SMART strategies-focused training will directly benefit them and describing how training content is specifically linked to experiences in their profession will help garner buy-in from trainees ( Smith-Jentsch et al. 1996 ). Trainee dedication to achieving learning objectives is essential for learning and retention to occur and for transferring knowledge and skills to the work environment ( Goldstein and Ford 2002 ; Slavin 1990 ). To demonstrate the benefits of training, the content of training needs to be practically useful and applicable. This includes presenting content that is relevant to trainees’ professions and that addresses ethical and professional issues they have faced or are likely to face in their careers. Discussing a case or critical incident that the trainees have encountered, or something similar to what they have encountered, is an effective way to get them engaged with and derive meaning from training content.

Engage Multiple Pedagogical Activities

Pedagogical activities that occur during training reinforce key training concepts, help trainees derive meaning from training content, and facilitate active learning of professional decision-making skills. How trainees learn is equally as important as what trainees learn during training. Integrating case studies, individual reflection activities, think-pair-share exercises, and role plays into training fosters learning more than a traditional lecture format ( Bransford et al. 1999 ; DuBois 2013 ; Handelsman et al. 2004 ). These pedagogical activities vary in terms of their complexity and length, resulting in dynamic training content. Engaging trainees with these activities provides them with the opportunity to examine and connect their existing knowledge, experiences, and perspectives to the learning material. Table 2 provides a brief overview of how to implement various pedagogical activities, along with estimated level of complexity and duration.

Pedagogical activities

Case Studies

Applied to professionalism and research, case-based learning consists of using factual or fictional scenarios to illustrate examples of complex and ambiguous ethical and professional situations researchers may face ( Bagdasarov et al. 2013 ; Johnson et al. 2012 ; Kolodner 1992 ). Case-based learning helps trainees link course concepts to realistic, real-world scenarios by immersing themselves in these scenarios and exploring how to apply professional decision-making strategies ( Miller and Tanner 2015 ). The positive effects of case-based learning are magnified when trainees work together in small groups to collectively seek out important information, ask relevant questions, and find solutions to the problem ( Allen and Tanner 2002a ). This enables greater breadth and depth of understanding of decision-making strategies that can be used to address issues related to the case. Trainees can also use what they learned during this practice when applying these decision-making skills to a situation in the future that is similar. That is, trainees can draw upon their case-based knowledge to make sense of future professional and ethical situations and navigate these situations when they arise ( Kolodner et al. 2004 ).

Individual Reflection

Because of the personal and interpersonal nature of ethical and professional problems, reflecting on personal experiences and processing cases individually reinforces the knowledge base that influences ethical and professional decision-making ( Antes et al. 2012 ). Moreover, when professionals are confronted with ethical dilemmas, they are likely to draw upon personal experiences to make sense of the dilemma and generate solutions ( Mumford et al. 2000 ; Scott et al. 2005 ; Thiel et al. 2012 ). Drawing on past experiences allows professionals to consider important aspects of these past experiences such as causes and outcomes, which are essential for effective professional decision-making ( Stenmark et al. 2010 ).

Think-Pair-Share

Think-pair-share activities consist of having students initially think about a solution to a problem individually, then pairing with a neighboring student to exchange ideas, and finally reporting out to the larger group key points from their discussion ( Allen and Tanner 2002b ). Discussion between peers enhances understanding of complex subject matter even when both trainees are uncertain initially ( Smith et al. 2009 ). This may be due to the cognitive reasoning and communication skills needed to relay and justify perspectives about complex subject matter to others. Conversely, similar evaluative skills are needed to appraise the viewpoints of the other and determine if their explanation and rationale make sense in context.

Role plays are training activities where trainees take on the role of someone in a hypothetical scenario and model what it is like to have the perspective of that character ( Thiagarajan 1996 ). For example, trainees in a role play can model social interactions between characters faced with an ethical or professional dilemma regarding authorship, human subjects protections, mentor-trainee relationships, or data management ( DuBois 2013 ). Role plays enable trainees to learn how to identify, analyze, and resolve these dilemmas because they provide trainees with the opportunity to practice navigating these situations ( Chan 2012 ; DuBois 2013 ). This technique is particularly effective in trainings that involve exploration and acquisition of complex social skills, such as professional decision-making ( Noe 2013 ). Role play activities have been shown to be effective in ethics instruction ( Mumford et al. 2008 ). They can involve a select few volunteers who perform for the class while the remainder of trainees observe, or involve all trainees divided into small groups of two or three where all trainees take part in the role play activity. Role play activities have been shown to promote a deep understanding of the complexities involved with ethical and professional dilemmas ( Brummel et al. 2010 ).

In order to be effective, however, certain activities must take place before, during, and after the role play ( Noe 2013 ; Thiagarajan 1996 ). Specifically, before the role play, trainees should be provided with background information that gives context for the role play and a script with adequate detail for trainees to understand their role. During the role play, actors and observers should be able to hear and see one another, and trainees should be provided with a handout detailing the key issues of the role play scenario. After the role play has commenced, both actors and observers should debrief on their experience, how the role play relates to the concepts being taught in training, and key takeaways. Trainees should also be provided with feedback in order to reinforce what was learned during the role play experience ( Jackson and Back 2011 ).

Provide Practice Opportunities

Trainees will need multiple opportunities to practice applying the professional decision-making skills they are learning. Practice opportunities can take the form of the various pedagogical tools, as discussed above, including case studies, individual reflection, and role-play activities. These tools promote active learning and create a safe mechanism for trainees to experiment with SMART strategy application ( Bell and Kozlowski 2008 ). Instructors should also have trainees periodically recall the SMART strategies throughout training. This active recall will increase the likelihood of strategy use beyond practice during training.

Give Feedback

Immediately after each practice activity, instructors should provide feedback to trainees by noting what was done well and where there are opportunities for change or improvement. Feedback should be specific and frequent in order to convey to trainees what resulted in poor professional decision-making performance and good professional decision-making performance ( Gagné and Medsker 1996 ). Carefully guiding feedback-oriented discussions can further enhance learning, retention, and application of SMART strategies.

Professionals across various fields, especially in research contexts, encounter complex situations involving multiple stakeholders that necessitate professional decision-making skills. Fortunately, these skills are trainable, and the SMART strategies decision tool helps facilitate professional decision-making skill retention and application. In the present effort, we approach professional decision-making using a compensatory strategy framework and showcase how each of the SMART strategies could be applied to a scenario involving a professional dilemma. We also discuss how to maximize the effects of a SMART strategy-oriented training program and highlight pedagogical tools to guide SMART strategy education.

This paper provides a guide for educators and institutions with the goal of integrating training on professional decision-making skills into their curriculum. We provide educators with a robust understanding of the steps involved in mitigating negative effects of self-serving biases and making sense of complex professional dilemmas. Additionally, we discuss the individual-level and environmental-level constraints that influence the way problems are framed and approached, and the strategies that individuals can use to counteract the negative effects of these constraints on decision-making. Educators can take this understanding, along with the knowledge of effective training and pedagogical practices, to create training content that prepares its trainees to effectively navigate multifaceted professional issues they may face in their careers.

Acknowledgments

We would like to thank John Gibbs, John Chibnall, Raymond Tait, Michael Mumford, Shane Connelly, and Lynn Devenport for their insight and prior work that led to many of the ideas discussed in this manuscript.

Funding/Support This paper was supported by the National Center for Advancing Translational Sciences (UL1 TR002345). The development of the Professionalism and Integrity in Research Program (PI) was funded by a supplement to the Washington University Clinical and Translational Science award (UL1 TR000448). The U.S. Office of Research Integrity provided funding to conduct outcome assessment of the PI Program (ORIIR140007). The effort of ALA was supported by the National Human Genome Research Institute (K01HG008990).

Conflict of Interest The authors declare that they have no conflicts of interest.

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