I help companies design services and experiences that work with human nature, not against it.
Nick Naumof is an applied behavioral science thought leader and researcher. He studied people from different scientific perspectives — economics, consumer behavior, behavioral economics, and evolutionary psychology — and helps companies bridge design and psychology to create better experiences for customers and employees.
Originally from Romania, Nick lived in The Netherlands for five years and has been based in the Washington D.C. Metro area since 2015. He has been married to Cornelia since 2011.
With over ten years of experience designing and delivering public presentations and training programs, Nick has led workshops, masterclasses, and conference talks on four continents. His project experience spans financial product design, fast-moving consumer goods, health and wellness, and human resources.
Masterclasses include Designing Decisions (choice architecture), Thinking Money (financial services), Nudge Design, and Behavioral Design for Incentives and Rewards. In February 2017, he delivered a talk on behavioral design for incentives and rewards at Action Design Washington DC.
Nick is the author of It Makes (No) Sense, a book that explores how behavioral science applies to real-world scenarios. The book is part of a broader resource library available on the site, complementing the blog and learning programs.
Nick's approach integrates behavioral science into service design, creating experiences that align with how people actually think and decide. This work applies across industries — from finance and retail to health and employee engagement — always with the goal of designing services that respect human nature.
Understanding emotional drivers in professional settings is central to improving employee satisfaction and engagement. Nick's work on emotions at work connects emotional design principles with measurable service outcomes, offering strategies for leveraging emotions constructively in the workplace.
Behavioral Mapping For A Clearer Customer Journey
Customers rarely follow the neat sequence shown in a conventional journey map. They skip steps, hesitate, switch channels, ask friends for advice and abandon tasks when the mental effort feels too high. Behavioral mapping makes these actions visible by connecting what people do with the context, motivation and friction surrounding each decision.
For service designers, the value lies in moving beyond stated preferences. A customer may say speed matters most, yet spend several minutes checking fees, reviews or cancellation terms. By studying the journey step by step, organisations can identify the moments that shape trust, conversion, satisfaction and loyalty.
Why Journey Mapping Needs Behavioural Evidence
A standard customer journey often records touchpoints such as advertising, website visits, purchase and support. A behavioural map adds the decisions and coping strategies between those touchpoints. It asks what the person notices, what they ignore, which option they choose and what they do when the process becomes difficult.
This approach combines observation, interviews, diary studies, analytics and usability testing. The goal is not to label customers as rational or irrational. It is to understand how attention, memory, social proof, defaults, uncertainty and perceived effort influence real behaviour.
A useful map can include the customer’s goal, emotional state, environmental cues, barriers, workarounds and the organisation’s response. These details reveal service gaps that satisfaction surveys frequently miss.
From Intent To Observable Action
Customer intent is an important starting point, yet it does not predict behaviour on its own. Someone intending to open a bank account may delay when identity checks are unclear. A person planning to compare energy providers may abandon the task after encountering unfamiliar terminology.
Researchers should separate what customers say from what they do. Interview questions can uncover beliefs and expectations, while screen recordings, clickstream data and field observation show how those beliefs operate under time pressure. Practical behavioural research notes can also help teams connect academic concepts with everyday service decisions.
The resulting map should show micro-actions: scanning a headline, rereading a price, opening a new tab, seeking reassurance or asking a colleague for help. These small behaviours often identify the precise point where confidence rises or falls.
Where Friction Changes Decisions
Friction is not limited to a slow website. It can be a confusing form, an unexpected fee, a lack of progress feedback or the need to repeat information across channels. Even a short delay can become significant when customers are distracted, using a mobile device or completing a task outside business hours.
Behavioural mapping distinguishes productive effort from wasteful effort. Verification may reassure a customer when its purpose is explained, while an unexplained request for documents can feel intrusive. A detailed comparison can support choice, but too many similar options can create decision paralysis.
Digital services provide clear examples. When people assess a promotion, they may focus on immediate value, trust signals and perceived conditions before considering the longer-term outcome. An analysis of a bonus choice example illustrates how offer framing, eligibility details and reassurance can affect movement through an online journey.
Research In Australian Contexts
The Australian market adds useful context to behavioural research. Customers in Sydney or Melbourne may move between desktop research, mobile transactions and in-person service depending on commuting patterns and digital confidence. In regional areas, patchy connectivity and longer travel distances can make online support and clear status updates especially important.
Local language and customs matter as well. “No worries” may signal politeness rather than genuine satisfaction, so researchers should examine follow-up behaviour instead of relying on a friendly response. Australians may also compare prices across major retailers, check independent reviews and expect straightforward terms before committing.
Services need to account for differences across states, age groups and communities. A healthcare journey in Brisbane, a public service journey in Canberra and a retail journey in Perth may involve different expectations around privacy, accessibility and channel choice. Contextual research prevents teams from treating a national audience as a single behavioural segment.
Turning Maps Into Service Improvements
A behavioural map becomes valuable when it leads to a testable design decision. Teams can identify the highest-impact moment, form a hypothesis and run a controlled experiment. For example, they might test whether showing delivery dates earlier reduces abandonment, or whether a plain-language explanation increases completion of an application.
Prioritisation should consider customer impact, business value, implementation effort and ethical risk. Nudges should clarify choices and reduce unnecessary effort, rather than conceal important conditions or exploit vulnerability. This is particularly relevant in financial services, health, gambling and other high-consequence settings.
Practical recommendations for applying the method include:
- Define the customer’s task and success measure before mapping touchpoints.
- Observe real behaviour across devices, channels and relevant environments.
- Record moments of hesitation, repetition, abandonment and reassurance-seeking.
- Compare intended journeys with actual workarounds and support requests.
- Test one behavioural intervention at a time where possible.
- Review outcomes for different customer groups, including accessibility needs.
| Journey Stage | Behavioural Signal | Likely Barrier | Design Response |
|---|---|---|---|
| Discover | Scans reviews and headlines | Low attention or weak relevance | Lead with clear value and credible proof |
| Compare | Opens multiple tabs | Uncertainty about price or quality | Provide simple comparisons and total costs |
| Commit | Pauses before submitting | Risk, ambiguity or lack of trust | Explain requirements and show reassurance |
| Use | Repeats steps or contacts support | Poor guidance or broken continuity | Add progress cues and preserve customer context |
| Return | Checks alternatives before renewing | Value has become unclear | Reinforce benefits and offer timely, relevant prompts |
A well-constructed map gives service teams a shared view of the customer’s lived experience. It turns abstract concepts such as cognitive load, social proof and loss aversion into observable evidence that can inform products, communications, employee workflows and customer support.
Behavioural mapping is most effective as an ongoing practice rather than a one-off workshop artefact. As customer expectations, technology and market conditions change, organisations should revisit the evidence and keep testing whether the service still fits the way people actually behave.
If your organisation needs to uncover hidden friction, redesign a customer or employee experience, or translate behavioural science into practical service changes, Nick Naumof’s research, consulting and workshops can help turn journey evidence into better decisions and measurable outcomes.
Nick's blog covers topics including pricing strategies, loss aversion, the peak-end rule, and customer experience design. Notable posts include How to sell a 5¢ product for 1$ (December 2015), How to Reduce the Pain of Payment for Customers (July 2016), The Future of Applied Behavioral Science Will NOT Be About Behavioral Science (July 2014), When Designing Experiences, Think About What Happens After the Interaction Ends (March 2018), and The Email that Plays an Important Role in Customer Experience Without It Being Opened (March 2018).
Nick's work has been featured on platforms including mycustomer.com and behavioraleconomics.com. His media appearances and conference talks showcase applied behavioral science in action, reinforcing his role as a trusted voice in the field.