AI-Based Key Product Characteristics

Influencing prompting logic & early statge strategy in an AI-based project via quick prototyping · 2025 · Allegro

AI

UX

Project goal:

Support key user tasks on the product list and improve the experience for a specific type of visit (which type - NDA).

My role & process:

I supported this project through its define, ideate, and prototype phases.

• Shifted focus from front-end delivery to improving data quality as the foundation of the experience by quickly initiating the research process. I prepared and tested prototypes built on four real data sources, combining usability testing with in-depth interviews.
• Brought UX–AI design principles and references (such as the Google PAIR framework) into our discussions, helping shape how we framed the research outcomes, which - on the other end, influenced prompting logic.
• Including the front-end stream of the project, I iterated this project during usability 3 times within ca 1,5 month - preparing rapid prototypes every time, gathering stakeholders, building shared understanding and finally shortening decision time.

Project delivered as part of my full-time role at Allegro (internal product work). 

What the project gained:

• A shared shift of focus from surface design to underlying data quality.
• Input for reprioritising project phases, ensuring data improvements preceded interface work.
• Actionable design and prompt principles that informed both system logic and model prompting.
• Early product decisions — influenced by UX input — already show measurable improvement in preliminary metrics.

What I have learned:

• Never lose hope that UX can — and absolutely should — influence backend logic.

Tell me about your idea.
Let's make it real together.

Tell me about your idea.
Let's make it real together.

Tell me about your idea.
Let's make it real together.