As groundwork to represent a full financial profile, the challenge was to design a account dashboard, which can be used by anyone, disrearding their financial situation.

ROLE
CPO, UX Designer, User Researcher, UI Designer, Interaction Designer
CUSTOMER/CLIENT
Pigtie
TOOLS
Figma, VSCode, Tally
METHODS
Co-Creation, Usabilty Testing, User Stories, Affinity Mapping
Pigtie is a micro-investing app on a mission to help younger users (18–32) take meaningful steps toward long-term financial planning and self-directed wealth accumulation. The product started with a round-up service — automatically routing small amounts from a connected checking account into a custodian account — as a low-friction entry point into private retirement provision.
But investing consistently is only one side of the equation. To genuinely support users in building financial confidence and making better decisions, the team recognized a need to expand well beyond saving. This project was born from that ambition: an exploratory, full-cycle UCD initiative to identify and build new features that would give users a richer, more actionable view of their finances — powered by the existing PSD2 interface.
There was no predetermined design direction beyond the mission statement, which made this one of the most open-ended and multi-layered projects I have worked on. It moved through exploratory research, iterative concept development, a closed beta, and a full release — and as of 2026, the resulting feature has become the core concept of the entire app (see www.pigtie.de).
Core technical and product constraints:

Given the open scope, the research phase was extensive and intentionally broad.
Competitive audit — A thorough review of the personal finance app landscape: finance managers, banking apps, financial literacy tools, trading platforms, and other PSD2-based products. This provided a map of existing approaches, common patterns, and gaps worth exploring.
Online questionnaire — An open-ended survey covering what users wished existed in apps aligned with Pigtie's mission, what problems they encountered with current tools, and what they felt was missing from the market entirely. Screen concepts were included at the end of the survey (not the beginning) to avoid priming bias, and were rated on a Likert scale.
Co-creation workshops — Three full-day workshops, each with five participants, all facilitated by me. Each session followed a structured arc.


Research outcomes:

With the research outputs and paper prototypes as a foundation, multiple design directions and concepts were developed and evaluated.
The central challenge was individualization. The research had made one thing very clear: financial profiles vary enormously between users. A one-size-fits-all dashboard would inevitably feel irrelevant to large parts of the user base. At the same time, the feature needed to remain self-contained within a single tab, and could not interfere with the round-up feature already in use.
After exploring several approaches, a widget-based dashboard emerged as the most promising solution — and became the concept taken forward into A/B testing. Its key advantages:

The initial designs were tested through a combination of methods:
A/B testing — Conducted in controlled one-on-one interview sessions using a Wizard of Oz approach, with high-fidelity Figma click-prototypes. Tasks were assigned and experience quality was measured with the UEQ (User Experience Questionnaire).
Online questionnaire — Included screen versions of the concepts alongside qualitative questions about features and user preferences.
Following a clear decision on the overall UI direction, more focused usability testing addressed specific interaction patterns: adding and removing widgets, the UI of widget detail screens, and various data visualization approaches. The starting set of widgets for the initial launch was determined based on a combination of usability test findings and the earlier research data.
A closed beta was then planned and executed, using an MVP implementation of the final design. Feedback was collected across multiple channels, including dedicated WhatsApp groups.
Road to release:
Post-release results:
The project was considered a success against its goals:
This was one of the most ambitious projects I have worked on — building a complex, multi-feature system from scratch, navigating an open brief through research all the way to a live product. It taught me a great deal about designing and shipping large-scale feature systems.
What I would do differently: