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.
Decoy pricing as a strategic lever for service packages
Most service businesses spend considerable time refining their core offering, then wonder why conversion rates stall. The missing ingredient is often psychological rather than operational. When two options are presented side by side, customers hesitate, defer decisions, and quietly move on. Adding a third option can change that dynamic entirely, especially in competitive Australian markets where buyers in Sydney, Melbourne, and Brisbane compare providers daily.
Decoy pricing is the deliberate placement of a less attractive third option to nudge customers toward a preferred choice. Rooted in the asymmetric dominance effect studied in behavioural economics, it works because humans evaluate options relative to one another rather than in isolation. A well-designed decoy becomes a reference point that makes the target offer look disproportionately valuable, without the buyer needing to calculate anything consciously.
The psychology behind the asymmetric dominance effect
When a customer scans three service tiers, they rarely weigh each feature independently. Instead, they use one option as a lens through which to judge the others. A decoy that is clearly inferior to the target on almost every dimension makes the target's advantages visible at a glance. This is the same mechanism that drives anchoring in negotiations and reference pricing in retail.
The effect is robust across cultures, but its intensity varies with decision fatigue. Australian professionals balancing long workdays with family commitments often take the path of least cognitive resistance. A decoy reduces that friction by offering a clear default, which means even sophisticated buyers respond to it. The trick is that the decoy must be obviously worse than the target, yet close enough in price to feel relevant.
Building a three-tier package that actually converts
Service packages typically take one of two shapes. Either there is a basic and a premium with a yawning gap between them, or there are too many tiers that fragment attention. The decoy approach resolves this by centring the architecture on a single decision: which of two remaining options do you prefer, once the third is in the room.
A practical way to apply this is to design the decoy first. Decide which package you most want to sell, then craft a neighbouring option that loses on every meaningful attribute but loses most obviously on price-to-feature ratio. The decoy should look like a real choice, not a straw man. Buyers in Adelaide's growing fintech corridor, for example, can spot a token gesture instantly, and the credibility of the whole menu drops with it.
| Tier | Monthly price (AUD) | Included features | Psychological role |
|---|---|---|---|
| Essentials | 1,200 | Two strategy workshops, monthly report | Entry point |
| Standard | 2,400 | Four workshops, quarterly roadmap, email support | Decoy |
| Growth | 2,900 | Everything in Standard plus a dedicated analyst and priority access | Target |
The Standard package in this structure offers fewer workshops and weaker support than Growth, yet costs only AUD 500 less. The asymmetry makes Growth look like an obvious upgrade, and the decoy quietly raises the perceived value of the higher tier without inflating its headline price.
Local realities that shape decoy design in Australia
Currency matters. Expressing prices in Australian dollars without an international comparison can anchor expectations below their real worth, particularly when buyers are familiar with global SaaS pricing quoted in USD. A decoy positioned near the AUD 3,000 mark behaves very differently from one near AUD 30,000, and the surrounding tiers must be calibrated accordingly.
Geography also shifts the calculus. A consulting package aimed at Perth's mining and resources sector will carry different travel, compliance, and stakeholder demands than one aimed at Melbourne's creative agencies. The decoy can absorb some of those differences by exaggerating a service component that matters less in that market, such as on-site workshops for remote resource clients in the Pilbara.
There is also a cultural texture worth respecting. Australian buyers tend to be direct and sceptical of hard-sell tactics. A decoy that looks too obviously manipulated can backfire, generating the kind of dry commentary that travels fast on LinkedIn. The aim is to make the preferred offer genuinely better, not just framed better.
Design choices that strengthen the decoy effect
A handful of design decisions reliably amplify the asymmetric dominance pattern.
- Make the decoy lose on the attribute your target buyer cares most about, rather than on everything at once.
- Keep the price gap between the decoy and the target narrow enough that the better option feels like a small upgrade, not a leap.
- Mirror the naming convention of your strongest tier across all three options to reinforce that they belong to the same family.
- Use consistent visual weight in menus and proposals so the decoy is not dismissed before it has done its work.
- Avoid adding real value to the decoy in pursuit of fairness, since the goal is asymmetric comparison, not equal treatment.
Testing and iteration before the decoy goes live
Behavioural design is rarely right on the first attempt. A few disciplined checks help refine the structure before committing to a public menu.
- Run a small conjoint analysis with current and lapsed clients to confirm which attributes dominate their decision.
- A/B test headline price points in proposal templates rather than in live offers, to avoid confusing the sales pipeline.
- Interview two or three recent buyers and ask them to describe each tier in their own words, then compare those descriptions to your intent.
- Monitor not only conversion to the target tier, but also the share of buyers who choose the entry option, since a decoy can lift overall conversion.
If you are refining a service menu and want a second pair of eyes on the structure, arrange a working session to walk through your specific tiers. Behavioural science works best when grounded in the actual choices your customers face, and a short consult can surface the asymmetries that are easy to miss from inside the business.
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.