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The full project definition: the problem, evidence, principles and hypotheses I set before designing. For the short version, see the main Strom page.

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Project AI-powered neobank: reducing financial overwhelm through adaptive intelligence
Type Solo concept project, product design and UX case study
Duration 1 month
Role Solo product designer: strategy, research, IA, flows, interaction design, visual design, prototype
Approach Secondary research, benchmark analysis, opportunity mapping. No primary user research.

1. Summary

Banking apps have grown from simple tools into ecosystems that combine budgeting, subscriptions, analytics, investments, insurance, savings and lifestyle services. More functionality brings new friction:

I looked for targeted interventions at these three points instead of redesigning a whole banking experience.

2. Problem areas

These three problems are connected. Each one affects how people understand information, make decisions and trust a financial product.

Problem area 1: Feature overload

Context

Banking apps now put budgeting, subscriptions, investments, analytics, cashback, insurance and savings into one interface. As it grows, people face information overload, hidden features, confusing navigation and more mental effort.

Evidence: 77% of respondents in a mobile banking study had problems with the apps they used, most often navigation, unclear terminology and difficulty using existing features.

UX principles

Principle Current pattern Design implication
Hick's Law: decision time grows with the number and complexity of choices More features → more decisions → higher effort → slower tasks Surface relevant actions at the right moment instead of showing every feature equally
Tesler's Law: some complexity can't be removed, only managed More products → more information → more complexity → overwhelm Distribute complexity: keep what matters now in front, the rest a step away

Move from static, feature-heavy dashboards to adaptive experiences that surface relevant actions.