
Jonas Berggren,
guest blog,
Published on Thu May 15 2025
Updated on Fri Aug 08 2025
3 minute read
Why do people behave the way that they do? It’s not always an easy question to answer, but it’s important for anyone involved in designing customer service processes. The difference between a great and poor customer experience can be a customer that is lost forever. In classical economic theories, the consumer is always rational and will take decisions based on the best possible outcome, but life is not really like this. People have biases, limited time, poor information, loss aversion, and many other behavioral traits that influence their decisions. This reality check on “homo economicus” and the classical view of how economic systems work is often called behavioral economics. This is a field that explores the psychological, cognitive, emotional, cultural, and social factors that influence the decisions of individual people (or institutions) and how these decisions can diverge from what might traditionally be called rational. So we need to explore a model of how consumers reach rational decisions when their baseline for making a decision may be flawed - that’s real life. Some of the cognitive effects studied in behavioral economics have a clear application in the design of improved customer journeys: • Anchoring: basing a decision or feeling on a specific anchor. For example, if you go to see a theater show expecting it to be bad, because you read some poor reviews, but it is actually enjoyable then it will feel far more enjoyable than if you had neutral expectations. A lot like enjoying the sun more than usual because the weather forecast said it would rain. • Herding: people often follow the behavior of others and can feel very uncomfortable if their behavior differs from the crowd and stands out. • Framing: stereotypes or anecdotal evidence can frame a statement and give it substance without real evidence. • Present bias: people prefer to have something now rather than later. This is very clear with addictive substances. We know that smoking and drinking is bad for our health in the long term, but in the present it feels good so we continue to ignore the future. • Confirmation bias: consumers often suffer this bias when using social networks. They only listen to news or information that confirms their existing view - anything else is filtered out or blocked, creating echo chambers only supporting and confirming what they already believe. • Familiarity bias: we like familiar people, objects, places, and brands and are often wary of trying something new. Think about a customer journey. It begins with an initial awareness of a product then matures as the customer learns more about the product and becomes interested enough to request more information and even make a purchase. Then there may be follow-up interactions and hopefully the customer begins to start building a long-term relationship with the brand. At each interaction, there will be several areas of behavioral economics that can be applied to make the customer more comfortable. I have only mentioned a few of the theories within a very broad subject, but it’s clear that many areas apply. Can you make your brand feel more familiar faster? Can you present your brand in a way that reinforces the consumers’ confirmation bias? Can you demonstrate that others support your brand and therefore the customer should give you more attention? This is a field that is rich in data and theories and I believe it has not been applied often enough to the entire customer journey. It’s time to consider how we can use these tools to support customers and the brands they love. First published on LinkedIn by Jonas Berggren, February 16, 2021

Created at Thu Sep 17 2026
6 min read
Something happens when a technology concept outpaces the terminology we have to describe it. Across the customer experience landscape, vendors start applying the same label to wildly different things. For instance, industry leaders start buying into the AI label instead of its real operational capability. And somewhere between the pitch deck and the production environment, the real question gets lost: does any of this actually address a real operational need? Agentic AI has reached that stage.

Created at Fri Sep 11 2026
3 min read
This is an interesting thought experiment that is worth exploring for anyone involved in buying or selling enterprise services. Think about two companies in your industry that essentially offer the same services, but in an entirely different way. Banking is a good example. There are several European banks that have been continuously operating for almost 300 years. You can imagine how some of these bank branches look. I

Created at Fri Sep 11 2026
16 min read
When a single negative interaction sends more than 50% of customers to a competitor, CX is make-or-break for every brand. From goal and lever metrics to leading and lagging indicators, experience stats like customer satisfaction (CSAT) and net promoter score (NPS) to efficiency measures like average resolution time, team health factors, and even AI-powered customer service KPIs, learn everything you need to track to assess your customer