
Customer experience,
customer journey,
Published on Thu May 15 2025
Updated on Fri Aug 08 2025
4 minute read
Have you ever heard of the “nudge concept”? Two American academics at the University of Chicago, behavioral economist Richard Thaler and legal scholar Cass Sunstein, wrote a seminal book in 2008 that took an obscure economic concept into the mainstream. The book was called “Nudge: Improving Decisions About Health, Wealth, and Happiness” and it outlined how very small behavioral changes can lead to enormous differences in behavior and outcomes. Ten years ago, the British Prime Minister, David Cameron, insisted that all his cabinet read the book. He created a “nudge unit” inside his government tasked with changing citizen behavior in ways that would increase health or reduce alcohol consumption. Since then, the British experiment has gone on to improve the rates of organ donation and citizens signing up for employer pension contributions. The reason this theory works so well is because it only requires a very small change to influence how people behave. Some examples of the nudge theory in action are: • Organ Donation: assume that citizens are happy to donate their organs after death unless they explicitly sign a document saying they refuse. • Pension contribution: when a person joins a new company the company should start paying into their pension automatically without the need for the employee to complete application forms or documents. • School lunches: make fruit and other healthy options easier to reach, so it’s just slightly more effort to reach out for a chocolate brownie. It’s clear how nudge theory works, people don’t want to spend time and effort searching for alternatives when the default choice is easy. By making a default choice the most desirable or healthy it will usually be the most common choice as people actively need to think about an alternative. Nudge theory is extremely powerful and despite being the subject of a best-selling book, I still find that I often need to explain it. I believe that in our industry it should be a mantra, a completely standard component of how we design a fantastic customer experience. Just imagine if we could use some very small nudges to influence how a customer uses self-service, chatbots, or interacts with an agent. The Obama White House in the US found that they could nudge citizens through the application of peer pressure. When federal tax documents were sent to citizens they included clear statistics on how many people paid on time - “9 out of 10 people will return this document on time” - and they found that it did improve the number of tax documents being returned on time. Critics of nudging argue that it is manipulative, but then a true nudge does not pre-determine or force a person to behave in a certain way - they always have the option to not follow the default. This is why I believe it is so powerful. You are not forcing a customer to buy an apple instead of a chocolate bar, but if the apple is located closer to the cash register then more customers will choose the apple - even if the chocolate bars are also displayed nearby.

Created at Fri Oct 09 2026
10 min read
Customer satisfaction might be key to long-term business success, but satisfying today’s CFOs and board members to secure the necessary investments takes hard financial evidence. Discover what CX ROI really means in financial terms and why it’s so critical to your bottom line. We break down the four-step framework you’ll need to measure it in practice - from establishing baselines and determining CX levers, to linking them to financial outcomes and calculating net returns. We’l

Created at Mon Sep 28 2026
4 min read
DeepSeek was only founded in 2023. The company is based in Hangzhou, an important port city in Eastern China that has been a strategic hub along the Silk Roads for thousands of years. DeepSeek has been building large language models (LLMs) since the company was created, but the[ 2025 release of their R1 LLM challenged](https://www.techtarget.com/whatis/feature/

Created at Fri Sep 25 2026
5 min read
An automated system has answered a customer’s question. The answer is accurate in itself, but it has missed the true reason for the contact. The customer has to explain the situation again, this time to human support. The support representative resolves the issue, but notices something else: the same misunderstanding keeps appearing across multiple customer journeys. When a mistake repeats at scale, who owns the lesson? And what should a global enterprise expect from a CX partner whose job inclu