What is hyper-personalisation?
Hyper-personalisation describes the ability to adapt digital products in real time to the individual needs and behaviour of each user. Traditional personalisation – such as displaying recommendations based on past purchases – is no longer sufficient today. AI makes it possible to analyse far more complex data points: for example, a user’s location, time of day, device type, usage behaviour or mood can all influence the appearance and behaviour of the interface.
Materna has also successfully implemented hyper-personalised projects: for the energy supplier enercity, multilingual interactive videos were created to explain customers’ personal annual bills to them. A system was developed for various ports that triggers context-sensitive workflows based on image-based recognition of different container types, whilst AIDA is an intelligent, AI-powered development assistant that automates and supports various aspects of software development.
These examples illustrate that products are no longer static entities. They are living systems that are constantly evolving – and this is precisely what is changing the role of designers.
How hyper-personalisation is redefining the role of designers
Traditional design processes are based on fixed layouts and clearly defined user journeys. However, AI brings a new dimension into play: content and interfaces are no longer static, but dynamic. Designers must ask themselves: How do you design concepts that are constantly changing?
Hyper-personalisation is shifting the role and responsibilities of designers from purely creative work towards strategic and technical tasks:
- Data analysis is becoming part of the design process. Designers must understand what data is available for personalisation and how it can be utilised.
- Rule-based logic is part of the concept. It is no longer enough to design an attractive layout. Designers must document how the UI behaves in different scenarios – for example, ‘If users are active at night, dark mode is used’.
- Iterative optimisation is becoming the norm. Designs are no longer ‘finished’. They are continuously adapted using real-time data, A/B testing and AI analytics.
In short: designers must think even more strategically, be even more technically proficient and work with AI tools that support dynamic variations.
How do you design dynamic products?
The path to hyper-personalisation begins with a clear understanding of the data. Location, behaviour, preferences, usage time and device type are just some of the parameters relevant to personalisation. On this basis, dynamic personas emerge – adaptive profiles such as ‘price-conscious’ or ‘premium customer’, which help to define rules for layout variants.
The design itself requires a modular approach:
- Flexible UI components such as cards, buttons and layouts must be designed to suit different content and states.
- Integrating AI tools: Figma plugins such as Google Sheets Sync enable dynamic content, whilst tools such as Framer AI, Galileo AI, Uizard or Adobe Firefly test AI-powered layout generation.
- Documentation is crucial: rules for AI integration must be clearly outlined for developers.
- Continuous optimisation: A/B testing, AI analytics and usability testing with dynamic variants are essential.
And last but not least: iterations based on real-time data are not just a ‘nice-to-have’, but a core component of the process.
Ethics and trust: the underestimated challenge
As AI-powered systems become increasingly widespread, so too does the responsibility borne by designers when creating hyper-personalised products. To ensure these products are not perceived as opaque, invasive or discriminatory, designers must consciously take steps to build trust and reduce ethical risks.
Designers can make hyper-personalised products trustworthy by taking the following steps:
- Make personalisation unobtrusive: Implement customisations in such a way that they are perceived as helpful, not intrusive.
- Ensure transparency: Provide users with clear information on how and why content is personalised.
- Provide control: Offer settings that allow users to adjust or disable personalisation.
- Ensure data protection: Operate in compliance with the GDPR and use data sparingly and securely.
- Avoid discrimination: Regularly check algorithms for bias or unfair outcomes.
Conclusion: Hyper-personalisation as an opportunity for better user experiences
In a complex world, hyper-personalisation is the logical next step to enable users to interact with their digital environment without feeling overwhelmed. Hyper-personalisation is not an end in itself, but a means of creating genuine added value. That is why Materna relies on AI innovations to deliver a user experience that empowers users rather than disempowering them.
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