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How To Use Behavioral Economics Principles to Ensure Software Selection Success

20 de Janeiro de 2023
por Gabriel Gheorghiu

Software selection depends on many factors, such as the functionality of the software, its price, or user satisfaction. Our biases are another important factor that is often overlooked. While a biased selection isn’t the end of the world when buying low-cost software, it can be a deal breaker when purchasing enterprise software like ERP

Let’s take a look at how our biases impact software selection and what we can do about it.

How biases impact software selection 

While we all make mistakes once in a while, we are sometimes prone to systematic and unconscious errors, also known as biases. Biases are often the result of mental shortcuts (or heuristics), which help us process information quickly. For instance, if I want to buy a coffee, I'll go to the coffee shop I already know instead of looking for and comparing all the options in my area. 

Heuristics don't always lead to the best decision. In the example above, I could find cheaper or better coffee, but I'd need to walk more or drive. However, this kind of mental shortcut may have severe consequences regarding software selection. Choosing the wrong software may be disruptive for a company, not to mention costly. Therefore, understanding how our biases impact decision making when selecting software is critical.

Here are some types of biases that may influence our decision making when buying software:
  • Anchoring happens when we rely too much on the first piece of information we get or what comes to mind. For example, managers who previously used certain software products will surely consider these when involved in software selection. 
  • The projection bias, which projects our current preferences to the future, may make the same managers prefer the products they used in the past that they know well. 
  • Furthermore, a confirmation bias could make the same managers find and rely exclusively on information that supports their beliefs and experience. 
  • Finally, ambiguity or uncertainty aversion refers to the preference for known risks over unknown risks, like a software product that we used previously and weren't very happy with, but at least we're familiar with it.

The best way to understand how our biases may impact software selection is to look at some examples. G2 reviewers often share feedback on why they switched from one software solution to another.

Image listing examples of biases that impact software selection

Note:  Beware of the “bias bias,” or the tendency to spot biases where there are none. When in doubt, refer to the definition of a cognitive bias: "A cognitive bias is a systematic (non-random) error in thinking, in the sense that a judgment deviates from what would be considered desirable from the perspective of accepted norms or correct in terms of formal logic."  

Source: Behavioral economics guide 2022.

How to overcome software selection bias

Understanding how biases work leads to a level of sophistication that helps improve decision making. However, to overcome biases, we require more than sophistication. Since they're unconscious, biases may still lead to irrational decisions, even though we rationally know we shouldn't make them.

The good news is that people can be influenced to make better decisions through a concept known as a nudge. Nudging refers to altering people's behavior "in a predictable way without forbidding any options or significantly changing their economic incentives." (from Nudge, by Richard H. Thaler and Cass R. Sunstein)

The bad news is that the same concept can also be used to make buyers choose a product over others. This is a bad nudge or a sludge.

My next blog will describe how to use nudges and avoid sludges to improve software selection. In the meantime, you can learn more about software purchasing behavior from our 2022 G2 Software Buyer Behavior Report.

Edited by Sinchana Mistry

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Gabriel Gheorghiu
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Gabriel Gheorghiu

Gabriel’s background includes more than 15 years of experience in all aspects of business software selection and implementation. His research work has involved detailed functional analyses of software vendors from various areas such as ERP, CRM, and HCM. Gheorghiu holds a Bachelor of Arts in business administration from the Academy of Economic Studies in Bucharest (Romania), and a master's degree in territorial project management from Université Paris XII Val de Marne (France).