What was your biggest challenge in the beta phase and what are your tips to solve this?
Kauê Coelho: Our major challenge was an initial information overload in the interface, causing confusion among users. To overcome this, we simplified the interface, focusing on essential features first and providing contextual guidance. Our tips to avoid this is clear communication, maintaining open channels with the development, UX and stakeholders team to ensure seamless integration of design changes. Regarding Dicobot the challenge was striking the right balance between realism and simplicity in the avatar’s expressions. Our tips:
User Empathy: Put yourself in the user's shoes to understand how different expressions might be interpreted.
Cross-Disciplinary Collaboration: Collaborate closely with UX and UI designers, ensuring a cohesive user-avatar experience.
Iterative Prototyping: Prototype various expressions early and test them with real users to catch emotional resonance.
Diana Andalúz: The biggest UX challenge was to align for expectations on the level of accuracy that this initial version of Dicobot would have. Tips to solve this would be to have frequent alignments with the experts involved in the development of the AI solution, for us this was really insightful to better understand how a chatbot is created. In order to align on expectations within and outside the team, another tip is to define a prioritization and progressive rollout of the optimal and end-goal experience.
Selman Özen: Our appeal to all (data) product teams is quite clear: let the lawyers and data protection experts be a part of the project work early on.
In your unit, what are the next steps in the development of Dicobot?
Kauê Coelho: For UI there are lots of possibilities to explore including different viewports, integration with the website and merchandising. Our plan involves enabling the avatar to respond to user using various expressions depending on the content. This means the avatar can adapt its expressions dynamically, creating a more personalized and empathetic interaction.
Diana Andalúz: Next steps would be to work together with development and AI experts on prompts that will support the most common topics and to expand user feedback so that Dicobot can learn even more from each conversation. We will enhance Dicobot’s personality and tone of voice. You can also expect further development on the different viewports and ways to incorporate Dicobot into our company website.
Selman Özen: With the help of determinable business cases and roll outs, we will now check whether the requirements from data protection law – also in relation to the planned EU AI Act – are met.
