AREA Thesis Statements

Navigating the Gray AREA 25 The AREA Method AREA is a decision-making process focused on mining the insights and incentives of others to help you manage mental shortcuts. The steps build upon one another, radiating out from the center, and also serve as a feedback loop. The views and insights of other stakeholders are integrated until you fit them together. AREA helps you make smarter, better decisions by improving upon clas- sic research and decision-making pedagogy in four important ways: 1. AREA recognizes that research is a fundamental part of decision-making. 2. AREA solves the problem of mental myopia—assump- tion, bias, and judgment in particular—through its con- struction as a perspective-taking process. 3. AREA addresses the critical component of tim- ing so that you have time for calculated and directed 26 Problem Solved reflections that promote insight, that is, slowing down to speed up the efficacy of your work. 4. AREA provides a clear, concise, and repeatable process that works as a feedback loop in part or in its entirety. Advantages of the AREA Method The AREA Method helps you bring greater CARE to making smarter, better decisions. • Your Critical Concepts focus your research and ad- Craft Critical dress the driving purpose behind your decision Concepts • Advantage: Keeps you focused on what matters the most. • We bring our assumptions and judgements to the Address way we view the world. biases • Advantage: AREA pre-empts and controls for our mental shortcuts. • Breaks down the research process into a series of Reveal easy-to-follow steps. perspectives • Advantage: Helps you make sense of the insights and incentives of others. • Cheetah Pauses “slow down time” to acceler- ate your work—“strategic stops” in the research Extract process. learning • Advantage: Chunk your learning to either forge ahead or loop back into the AREA process. 2 AREA = A: Absolute We don’t see things as they are. We see them as we are. —Anais Nin The AREA Method is constructed to help you make your unique high-stakes decision, but it does this in part by ask- ing you to step outside of yourself and think from other people’s perspectives. This may seem counterintuitive. After all, you’re trying to figure out what matters to you. Why care about what matters to others? By focusing on others’ motivations and incentives, you will not only better understand their behavior, but also reflect a mirror back to how you are thinking, feeling, and acting. This perspective-taking helps you move from bias to objectivity and relates decision-making with behavior—both other stakeholders’ and your own. By standing in someone else’s perspective, you are also better able to grasp your own. The first “A” in AREA stands for Absolute information, meaning information that represents the perspective closest to the entity or entities at the core of your decision. It is primary source information, unfiltered by outside, secondary sources. 53 56 Problem Solved Cheetah Sheet 1: Getting to Know Your Target 1. What are your critical entities and your Absolute targets? Why? 2. Who are the critical people at those entities? What is their involvement and impact? 3. What does it mean as it relates to your decision? Write out the answers in your AREA journal. Compose a list of unanswered questions for further study and make a list of sources you can go to for answers. Numerical Data Once you’ve identified your Absolute targets, begin your research by looking at the kind of numerical data they provide. All high-stakes decisions have numbers involved. Many have a financial or eco- nomic ramification to them. Although not all high-stakes decisions should be made based upon numbers, it’s useful to know what numerical data your target makes available. How your target conveys its numerical data can tell you a lot about how the entity views itself and wants to be understood by others. For almost all of us, research begins on the computer. To get your numbers, you’ll go to your target’s website. But stay focused on finding your target’s relevant numerical data even though it may seem enticing to browse the whole site. You’ll get to websites later in your Absolute work, but by beginning with the numbers, you can get 58 Problem Solved Cheetah Sheet 2: Just the Numbers 1. What kind of numerical data is available? 2. Does the numerical data make sense? a. Does it seem reasonable? b. Is there a connection between, or among, the data? 3. Are the numbers complete? Are they readable without a narrative? 4. Are they labeled and explained? If they are hard to understand, you’ve already exposed an inadequacy. If the numbers don’t make sense, the story might not either. 5. What is the story that the numbers’ charts and tables tell about your target? 6. Consider whether there are possible calculations that can help you derive value. For example, Bill might want to consider a ratio of staff members to resi- dents when looking at continuing care facilities. 7. What is the significance for the target and for you? Figure out the numbers on your own and then write it down in your AREA journal. Reading the tables is a good test of how well your target communicates. If you’re looking at a chart that shows a correlation between two things, consider whether the correlation is meaningful or not. For example, the following chart shows a very high correlation between per capita cheese consumption and the number of people AREA = A: Absolute 59 who died by becoming tangled in their bedsheets, but logically we know that this is spurious. We tend to assume that data is accurate and meaningful, but it isn’t always. As you conduct your research, remember not to eat too much cheese in bed, and to question all data. Courtesy of Tyler Virgen There are many ways that data may be flawed. We’ll touch on this again in the Analysis chapter, but for now, consider this point when reviewing data sets: always make sure you understand how a study was designed and conducted. As Micah began the AREA research on his two university op- tions, he knew that Hopkins was a top school with a national reputation. He was leaning heavily toward accepting Hopkins over Pitt based on that national reputation. But he decided that this was not a decision to make lightly, or upon social proof, in which we make decisions based upon what others think. With tens of thousands of dollars and Micah’s future at stake, his parents felt this decision needed a rigorous and methodical process. Micah started to gather numerical data about the colleges from his Absolute targets: the colleges themselves. He saw that Johns Hopkins’ fact book advertised that its education, public health, and biomedical engineering programs were ranked number 1, according to U.S. News & World Report. Pitt’s fact book didn’t list its ranking. AREA = A: Absolute 63 John found this map on Nepal’s government website, which dis- plays the geographic layout of the Kalikot District. He added his “co- ordinates” to the map. He drew a star where the Oda clinic is located and a square at the proposed location of the roadside clinic. Then he shaded in the catchment areas for each clinic. If Oda were to open a second clinic, it would need to be on the same southern side of the mountain where his existing clinic is located. John found the following population data from his Absolute target, the Nepalese government, on its website for the Kalikot District. It indicated the population density of each Village Development Community (VDC) so that he could see how many people lived by each facility. 64 Problem Solved Population With Roadside Access VDC Population Percent of District Institutional 431 0.23% Jubitha 3,279 1.72% Ranchuli 3,334 1.75% Mugraha 3,925 2.05% Phoi Mahadev 4,818 2.52% Chhapre 5,089 2.66% Odanaku 5,223 2.73% Kotbada 5,435 2.85% Gela 5,513 2.89% Pakha 5,899 3.09% Chilkhaya 6,451 3.38% Sukataya 7,095 3.71% Dahafatgaun 7,084 3.71% Lalu 8,265 4.33% Marta 9,958 5.21% Manma 12,884 6.75% Total 94,684 49.57% Gela, Pakha, and Chilkhaya are the three catchment areas currently served by Oda. He identified Manma, Marta, and Dahafatgaun as part of the catchment for a new second clinic. He was excited to find this specific data, but he wasn’t sure the data was reliable. He also missed its import: the larger population that a new clinic might service could turn out to be too many patients for Oda to handle. Like John, you may collect data from your target that you don’t fully understand. Or the data the data itself may be unreliable. AREA = A: Absolute 67 Cheetah Sheet 3: The Story of Your Target’s Website 1. Who is the website targeting? How do you know? a. What does the target’s homepage convey? b. How is the website set up and oriented? What tabs does it have? 2. What kind of content and language does the entity use on its site? Is it updated frequently? 3. What does the target advertise as its key accomplishments? 4. How does your target communicate its value? How does it back up that message? Is it relevant to you? 5. What is the narrative that the website tells? 6.

Load more