
Based on an expert review of the current platform, several testable hypotheses were formulated to guide the heuristic evaluation and subsequent user research. These statements indicate potential usability issues that require validation.
The platform was evaluated using Nielsen’s 10 usability heuristics, combined with basic accessibility and e-learning UX principles. For each key screen, the most critical issues were identified and rated on a severity scale from 1 (minor) to 4 (critical). Below, each screen highlights three prioritised issues, ordered from high to low severity, to illustrate the main usability risks and opportunities for improvement.
To complement the heuristic evaluation, this case study draws on the results of a user survey conducted in 2025 by the ErfgoedAcademie, with a parallel survey run by the joint platform VBNE (Leer je Groen). The combined response reached over 270 users, consisting primarily of volunteers and a substantial group of heritage professionals.
The survey aimed to understand overall user experience, perceived usefulness, and future relevance of the platform. The survey did not focus on detailed usability issues or task-based testing, but instead captured users’ general perceptions of learning experience, accessibility, and value.

Based on the prioritisation outcomes, a set of before/after mockups with annotations was created to translate usability findings into concrete, implementation-oriented suggestions. These mockups are exploratory rather than final and are intended to support discussion with developers by clarifying layout, hierarchy, and interaction improvements within the existing platform constraints.
Annotations highlight what should change and why, indicate which elements are intended as global updates, and help estimate technical effort without prescribing specific technical solutions.
The proposed improvements focus on clarity, accessibility, and consistency, prioritising changes that can be applied across multiple screens and deliver the highest user impact within a limited timeframe.
The evaluation showed that while incremental usability improvements are possible within the current platform, fundamental limitations of the legacy codebase make deeper redevelopment costly and difficult to scale. For this reason, the strategic focus shifted toward rebuilding on a new, AI-powered e-learning platform with greater flexibility and long-term potential.
These insights now serve as design and UX requirements for the new platform, helping ensure that future development is grounded in real user needs rather than assumptions. In this way, the evaluation becomes a strategic bridge—connecting a trusted but constrained legacy system to a more flexible, scalable learning environment designed to support long-term user growth and evolving educational goals.