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.
The Availability Heuristic And Distorted Risk Perception
A dramatic event can change what people believe is likely, even when the underlying probability has barely moved. The availability heuristic is the mental shortcut that makes vivid, recent or easily recalled examples feel more common than they really are. A single bushfire, cyberattack or product failure may therefore influence decisions more strongly than years of quieter evidence.
This matters wherever organisations design services, products and experiences. Customers may avoid a useful service after one alarming news story, while employees may overestimate a rare workplace danger because an incident was discussed repeatedly. Behavioural science helps teams separate emotional salience from actual risk and create environments that support better judgement.
Why Salient Events Feel Probable
Human attention is drawn to events that are surprising, emotional and easy to imagine. When an example comes quickly to mind, the brain often treats that mental availability as a signal of frequency. The question shifts from “How often does this happen?” to “How easily can I remember it happening?”
Recency strengthens the effect. After major flooding in Queensland or a widely reported shark incident near a popular New South Wales beach, people may temporarily overestimate related dangers. Their behaviour can change immediately: cancelling plans, demanding extra safeguards or choosing a more expensive option that feels safer.
This shortcut is not inherently irrational. In fast-moving situations, using memorable evidence can help people respond quickly. The problem appears when a vivid case overwhelms base rates, representative data and the difference between possibility and probability.
How Risk Perception Changes In Australia
Australian consumers regularly encounter strong examples that shape perceived risk. Bushfire footage during a severe season can make smoke, evacuation and property loss feel imminent even for households far from the most exposed areas. During Melbourne’s lockdowns, recent experience also changed how people interpreted everyday contact, queues and public-health messages.
The same pattern appears in commercial settings. A customer who hears about a payment scam may distrust digital transactions, while a worker who sees one delivery injury may become highly concerned about a rare hazard and overlook more routine risks. In a market spanning Sydney, Melbourne, Brisbane, Perth and regional communities, local experience can be more influential than national averages.
Service designers should therefore treat risk perception as part of the customer experience. Clear signage, timely explanations and visible safeguards can reduce uncertainty. Even simple environmental cues, such as welcome office signage, can make an unfamiliar setting feel more navigable when people are already alert to possible problems.
When Memory Distorts Business Decisions
Availability bias affects decisions inside organisations as well as customer behaviour. A recent complaint may lead a team to redesign an entire journey around an unusual edge case. A memorable failure in a call centre can prompt excessive scripts, unnecessary approvals or friction for every customer.
Leaders may also confuse attention with importance. The issue discussed most often in meetings is not automatically the issue causing the greatest harm. A low-frequency event with dramatic consequences deserves consideration, but it should be assessed alongside exposure, likelihood, severity and the cost of preventive action.
Behavioural research can reveal where emotional reactions are driving design choices. Interviews, diary studies, behavioural data and controlled experiments help distinguish a genuine pattern from a memorable exception. Combining qualitative insight with base-rate information gives decision-makers a more reliable view of what customers and employees actually experience.
Designing Services Around Better Judgement
Good service design does not dismiss people’s fears. It acknowledges them while making relevant information easier to find and interpret. A bank can explain how fraud monitoring works, a hospital can show what happens next, and an online retailer can clarify delivery protections without using alarming language.
Choice architecture is useful here because the surrounding environment influences attention, defaults and action. Teams can explore choice architecture to structure options, prompts and feedback in ways that support proportionate decisions. For example, a service might present a common risk beside its actual frequency, rather than giving disproportionate prominence to a rare but frightening scenario.
Messages should also be timed carefully. Repeating a warning may increase familiarity without improving understanding. A better approach is to pair a concise explanation with a concrete action, such as checking account activity, following an evacuation plan or selecting an appropriate level of cover. This turns anxiety into informed behaviour.
Practical Safeguards For Teams
Organisations can reduce the influence of recent events by building a deliberate pause into research, planning and review processes. Before changing a service in response to a dramatic incident, teams should ask what evidence supports the change, which users are affected and whether the proposed response creates new friction.
A practical set of safeguards includes:
- Compare memorable examples with base rates, trend data and the full customer journey.
- Separate probability from severity when assessing operational, safety and reputational risks.
- Test whether a proposed warning improves decisions or simply increases anxiety.
- Review incidents after the immediate response, when emotions and media attention have settled.
- Use representative customer research instead of relying only on recent complaints or vocal stakeholders.
- Train teams to recognise salience, recency and confirmation bias in planning sessions.
Training can make these habits part of everyday practice rather than a one-off exercise. Nick Naumof’s learning programs connect behavioural science with practical applications for products, services, customer experiences and employee experiences.
| Decision context | Availability-driven reaction | More reliable response |
|---|---|---|
| A recent scam receives media coverage | Make every digital step harder | Show verified security measures and proportionate prompts |
| One customer complaint becomes memorable | Redesign the whole journey immediately | Check frequency, severity and customer segments |
| A workplace incident is discussed repeatedly | Add broad restrictions for everyone | Target controls to the actual hazard |
| A disaster dominates public attention | Communicate only worst-case scenarios | Explain likelihood, preparation and available support |
When teams understand how the availability heuristic shapes risk perception, they can design calmer and more credible experiences. The goal is not to eliminate emotion from decision-making, but to prevent one vivid event from becoming the only evidence that matters.
For research, workshops, behavioural strategy and service design support, connect with Nick Naumof to turn behavioural insights into clearer choices and more resilient customer and employee experiences.
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.