Financial systems are often designed under the quiet assumption that individuals make rational decisions, carefully weighing options, comparing costs and selecting the optimal choice that serves their long-term interests. In an ideal world, this theory seems reasonable; however , in practice, financial decisions are rarely made under ideal conditions. 

People make financial decisions when they are stressed, uncertain, distracted or under time constraints. They navigate complex products, unfamiliar terminology and digital interfaces that can feel overwhelming. Even when individuals understand what they should do, the structure of the decision environment can make those choices difficult to execute. 

This raises an important question: What if financial systems were designed for how people actually think, rather than how we assume they think?

This question sits at the heart of behavioural science and increasingly shapes conversations about financial literacy, inclusion and policy – particularly in the UK, where financial complexity is ever changing alongside digitalisation and cost-of-living pressures. 

The Gap Between Rational Design and Real Behaviour 
Traditional financial systems often reflect what behavioural scientists describe as a rational actor model – the idea that individuals consistently make decisions that maximise their long-term welfare. Yet, decades of behavioural research demonstrates that decision-making is influenced by cognitive biases, emotions and context. 

Examples of this are:
Present Bias: this leads individuals to prioritise immediate needs over long-term benefits
Choice Overload: causes people to disengage when presented with too many options
Loss Aversion: individuals are more sensitive to potential losses than equivalent gains
Status Quo Bias: encourages individuals to stick with default options, even if alternatives are better

These behavioural tendencies are not signs of irrationality; they aure predictable features of human decision-making. When financial systems fail to account for them, individuals are left to navigate environments that unintentionally make optimal choices harder.

Research from the UK suggests that mant adults struggle with fiancial condfidence and decision-making, despite increased access to financial information. The UK Finaical Capability Survey found that a significant proportion of adults report low confidence in managing money and making financial decisions, especially when using complex products or faced with uncertain times (Money and Pensions Service, 2022). 

This highlights an important point: access to information does not translate into confidence or action. 

Designing for Behaviour, Not Just Information
Behavioural science adds an additional dimension to this. Instead of concentrating on improving knowledge, it explores how decision enivoroments shape outcomes. In this context, decision environments refers to structure, timing and presentation of choices encountered by individuals. 

When systems take behavioural insight into consideration during the design process, small changes can produce meaningful differences. Examples of this are:
– Simplified language to improve comprehension 

– Clear defaults to increase participation in savings schemes 

– Timely prompts to encourage engagement at vital moments 

– Structured choices that reduce decisions fatigue 

– Visualc ues that improve understanding of long-term outcomes 

These interventions do not remove individual choice; instead they support individuals to act with intention. 

The UK has already seen the benefits of applied behavioural insights through policy – specifically the Behavioural Insights Team, who demonstrated that small design changes – such social norm messaging – can influence behaviour in areas including savings and debt repayment (Halpern, 2015).

However, behavioral design has not been systematically embedded across financial literacy initiatives, financial products and policy frameworks. This is where a more integrated approach becomes valuable. 

The 4M Lens
At Relm, financial decision-making is explored through the 4M Framework, which considers how behaviour emerges from the interaction between Money. Mindset and Moment, that leads to Movement. 

Mindset
Mindset refers to how individuals think and feel about money. This includes confidence, trust, past experiences and perceived capability. In the UK, financial anxiety and uncertainty – especially during times of economic volatility – can shape engagement with financial decisions. 

Even when information is available, low confidence can discourage action. Behaviourally informed systems acknowledge this and design for reassurance, clarity and gradual engagement. 

Money
Money refers to how financial systems and products are structured. Complexity, jargon, hidden fees and digital navigation barriers can all influence decision-making. Behavioural design focuses on reducing friction, improving transparency and structuring choices in accessible ways. 

This is particularly relevant from a UK perspective – where financial services continue to digitise rapidly, increasing both opportunity and complexity. 

Moment
Moment refers to the context in which decisions are made.
Financial choices often occur during life transitions – starting work, moving home, managing debt or responding to unexpected costs. These moments are shaped by emotional stress, time constraints and competing priorities. 

Behavioural science highlights the importance of delivering support at the point of decision, rather than relying on earlier education alone to drive decision-making.

Movement
Movement represents the shift from intention to action.

It is the outcome of systems designed to support behaviour. Movement might include auto-enrolment into savings schemes, uptake of appropriate products or engaging with financial guidance. 

In this sense, behavioural design is not about directing decisions, but about enabling individuals to act in ways that align with their goals. 

A UK Specific Opportunity 
The UK is well positioned to adopt behaviourally informed financial system design. There is already strong infrastructure in place:
– Established financial education initiatives 

– Regulator emphasis on consumer understanding 

– Growing fintech innovation
– Increasing interest in financial education 

– Behavioural policy expertise 

However, these elements often operate in parallel rather than in coordination. A behaviourally informed approach offers a way to bring them together – connecting financial literacy, product design and policy development. 

This is where collaborative research becomes particularly valuable. Testing behavioural interventions in real-world settings allows organisations to understand what works, for whom, and in which contexts. 

The Role of Relm 
Relm was created to support this shift – from information-focused financial literacy to behaviourally informed financial systems.

Through applied research, pilot studies and collaborative partnerships, Relm explores how behavioural insights can improve:
– Financial Literacy Programmes 

– Customer Engagement

– Product Communication and Design 

– Policy Design 

– Financial Inclusion Initiatives 

The goal is not to replace existing efforts, but to strengthen them –  ensuring that financial systems reflect how people actually make decisions.

Rethinking Financial Design 
Designing financial systems for how people actually think does not mean lowering expectations. It means recognising that capability develops through supportive environments, not just information.

When systems are aligned with behaviour:
– confidence increases 

– engagement improves 

– decision-making becomes consistent 

– outcomes become more equitable 

This is not exclusively a behavioural science challenge – it is a design challenge, a policy challenge and a collaboration opportunity. 

The question is no longer if behavioural insights matter, but how they can be meaningfully embedded into financial systems.

Relm exists to explore that question – and to work with organisations ready to design financial environments that support real decision-making. 

References:

Halpern, D. (2015). Inside the nudge unit: How small changes can make a big difference. WH Allen.

Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.

Money and Pensions Service. (2022). UK financial capability survey 2022. Money and Pensions Service. https://www.moneyandpensionsservice.org.uk

Organisation for Economic Co-operation and Development. (2018). The application of behavioural insights to financial literacy and investor education programmes and initiatives. OECD Publishing. https://doi.org/10.1787/0b5f985d-en

Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.