Contact Nick Naumof

I help companies design services and experiences that work with human nature, not against it.

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About Nick Naumof

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.

Speaking and Training

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.

Book: It Makes (No) Sense

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.

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Behavioral Service Design

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.

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Emotions at Work

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.

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Designing feedback forms that earn real replies

Every business in Australia, from a Surry Hills brunch spot to a Perth mining supplier, eventually needs field data. Yet completion rates often sit below 10%. The gap between wanting insights and collecting them comes down to behavioural design rather than the questions themselves. Treat the form as a small service encounter, not a survey, and people start treating it like one worth finishing.

Form fatigue is real and well documented. The moment a form feels like work, the brain's effort-reward calculator flips the dial away. Most drop-offs are avoidable. Small changes in length, timing, and wording change the answer rate far more than adding another question.

Cut the friction before you cut the questions

The biggest predictor of abandonment is the number of fields visible on the first screen. Users in Brisbane and Melbourne scan quickly on mobile, so a wall of optional boxes reads as effort before they read the first question. Trim every field you can justify removing and move advanced questions behind a "tell us more" toggle. This pattern borrows from the paradox of choice: every extra option is a tax.

Equally important is the typing effort. Drop-downs for yes-or-no questions, sliders where a scale works fine, and free text where three radio buttons would do all quietly inflate the time cost. A Gold Coast café owner testing two identical forms found the tap-only version collected five more responses a day.

Match the question to how people actually answer

Open-ended questions feel thorough, but a 1-to-5 scale usually beats them. Replace "tell us how we can improve" with specific prompts such as "what was the slowest part of your visit?" Specific framing lowers the mental cost of answering and gives richer data. People answer narrow questions faster because the brain does not need to compute what counts as useful.

Numerical scales should match the decision being made. A 1-to-7 scale gives more variance for product feedback and is widely used in Australian market research. Avoid the "net promoter score" question unless you need it for an industry benchmark. For local insights, plain language outperforms jargon. A question like "how likely are you to recommend us to a mate?" earned surprising loyalty in pilot testing with small Adelaide retailers.

A short, focused form covers the essentials without dragging:

  • One clean rating scale, formatted for mobile
  • One multiple-choice on the part of the experience that mattered most
  • One short text field with a placeholder hint
  • A single follow-up consent question, kept optional
  • An optional email field marked as the default

Place the request where the habit lives

Timing is a behavioural lever most teams underuse. Asking for feedback at the peak of satisfaction lifts completion rates dramatically. A Sydney gym that prompted members at the end of a workout, just after the music dipped, saw a fourfold increase over its old emailed survey. The emotional peak matters more than the channel.

Avoid asking when the customer is busy, tired, or transitioning. A rideshare driver rating prompt appears just after delivery, when the experience is still warm. A Darwin hotel guest satisfaction form in the room works better on checkout morning than at check-in. Match the prompt to the moment the memory is still vivid.

Build trust through specific privacy signals

Australian privacy law under the Privacy Act 1988 sets clear expectations about collection and use. Generic lines about safety do almost nothing. Specific signals do. Telling a customer "we store your email to send one reminder, then delete it" reduced abandonment in a recent Adelaide fintech trial. Plain language about retention and use is a trust nudge that beats legal copy.

Consent should be granular and reversible. A single checkbox that says "I agree to the privacy policy" forces an all-or-nothing choice that drives drop-offs. Split it into two questions: one for storage, one for follow-up. Allow people to answer anonymously when the insight does not need a name. Defaults matter too: pre-ticking a "may we email you about updates" lifts consent rates. Adjusting default settings often lifts response rates without anyone noticing.

Reward the effort without cheapening it

Reciprocity is one of the most reliable behavioural levers. A small, specific reward lifts completion rates more than a drawn one. "I have saved $5 on your next coffee" beats "10% off your next purchase" because the value is concrete. Avoid rewards so large they feel like the form is buying good reviews, especially under Australian Consumer Law, which treats inducements carefully.

A simple monthly draw entry works well for businesses from a Hobart bookshop to a Melbourne SaaS startup. Pair the reward with the effort. A two-minute form paired with a 1-in-1000 chance at a $500 prize feels like a lottery, not a thank you.

Common mistakes to sidestep when engaging participants:

  • Offering a reward so large it skews answers or breaches ACL guidance
  • Tying the reward to a five-star rating rather than to completing the form
  • Promising a discount that takes two weeks to arrive by email
  • Mentioning the reward only on the last screen, when most users have left
  • Sharing participant data with partners without a clear opt-in

Close the loop or expect silence next time

The fastest way to kill future response rates is to never act on feedback. Customers in Adelaide, Perth, and Canberra all show the same pattern: they will tell you once, but if nothing visibly changes, they stop telling you. Send a short follow-up showing what you changed and thank the people who suggested it. Behavioural research calls this the consistency loop, and it is the cheapest retention tool in most teams.

Reporting creates visibility. A monthly "you said, we did" post on Instagram or a printed note in a café window does the job. People who see their feedback acted on are twice as likely to answer next time.

Once a form is producing consistent quality, the same playbook scales. A small team in Adelaide used this framework when expanding their feedback system internationally, including work tracked through a regional growth initiative. The mechanics of trust, timing, and friction transfer across borders, though the wording and rewards must always be local.

If your team is reviewing current surveys, start with one form, measure the baseline, and apply two or three changes before adding more questions. The fastest wins come from cutting fields, sharpening scales, and matching the prompt to the peak of satisfaction. Reach out via the contact page to start a working conversation about behaviour.

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).

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Media and Thought Leadership

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.

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Get in Touch

For inquiries about training programs, workshops, or speaking engagements, use the contact form to ensure your message reaches Nick's inbox. When not traveling, he typically responds within one working day. You can also follow Nick on Twitter, LinkedIn, and Facebook.

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