Web Paging transformed paging from a hardware-dependent workflow into a flexible browser-based experience. Operators could select devices and zones directly within the interface and initiate announcements using live speech, text-to-speech or audio file playback, removing the need for dedicated paging consoles and simplifying deployment for customers.
‍
I led the end-to-end design of the feature, from early discovery and workflow definition through to detailed interaction design and delivery. A key focus was making paging accessible to operators who may have little or no technical expertise, allowing staff such as teachers, receptionists and retail employees to deliver announcements through a simple web-based workflow.

The original scanning application focused exclusively on ingredient scoring, helping users evaluate products based on the quality and naturalness of their ingredients. While useful, this only provided part of the picture. Users with different skin types, sensitivities and conditions often require very different products, and ingredient quality alone could not determine whether a product was actually suitable for an individual user.
‍
To address this, we introduced a personalised skin assessment. By asking users a series of questions about their skin type, concerns, sensitivities and overall skin health, we were able to build an individual skin profile for each user. This profile was then used alongside ingredient analysis to generate personalised compatibility scores and recommendations, helping users identify not only the highest-rated products, but also those most likely to support their specific skin needs.

One of the primary challenges was balancing the depth of information required to generate accurate recommendations with the risk of users abandoning the process altogether. Unlike the original scanning experience, which delivered value almost instantly, personalised matching required users to complete a detailed skin profile that could take several minutes to finish.

To minimise drop-off, I designed the onboarding flow around progressive commitment. Users were gradually introduced to the benefits of personalisation throughout the application, with personalised scores and recommendations remaining partially locked until a profile had been completed. Recognising that many users would not complete the survey in a single session, I also introduced automatic progress saving and clear prompts encouraging users to return and finish their profile later.

As WeWell evolved beyond simple ingredient scoring, the amount of information available to users grew significantly. In addition to ingredient quality, products now included personalised compatibility scores, ingredient breakdowns, usage recommendations and supporting explanations. Presenting all of this information on a mobile device without overwhelming users became a key design challenge.

Session recordings, and user testing revealed that people approached product evaluation very differently. Some wanted a simple answer to whether a product was suitable for them, while others wanted to dive into much more granular detail. To support all types of user, I designed the experience around progressive disclosure, showing high level summaries first whilst allowing users to drill down into more detail if they were interested.

This approach enabled users to quickly browse and compare products at a glance, while still providing transparency into how scores and recommendations were generated. The result was an experience that balanced simplicity for casual users with depth for those who wanted to make more informed purchasing decisions.

The introduction of personalised skin profiling allowed WeWell to move beyond product analysis and into product discovery. Users could receive recommendations tailored to their individual skin needs, explore alternatives to unsuitable products and discover new skincare products with greater confidence.
‍
Building on this foundation, we expanded the platform into a cosmetics marketplace. Users could browse and purchase recommended products directly within the application, supported by features such as favourites, order tracking and personalised discounts.
‍
The marketplace established a new revenue stream for the business and helped secure partnerships with several of Central Europe’s leading cosmetics retailers.

Over several years, WeWell evolved from a simple cosmetics scanner into a personalised skincare platform and marketplace. The project explored how ingredient analysis, skin profiling and commerce could be combined to help users better understand their skin and discover suitable products.
‍
While the product ultimately did not become commercially viable, it attracted hundreds thousands of downloads, ranked as the most downloaded health app both in Slovakia and Czechia, and received consistently positive user feedback.

From a personal perspective, owning the product throughout its evolution was an invaluable learning experience. It gave me the opportunity to help shape product direction, balance user and business needs, and take responsibility for a growing ecosystem spanning discovery, personalisation and e-commerce.