Solving user problems with empathetic solutions Since 2022 CE
Human-Centered AI Agent Framework
For CareerCoachingPror
This case study was conducted within a
2-week Agile sprint to validate the value of an AI agent for CareerCoachingPro in July 2025.
The results highlighted common themes with the challenges of networking, as well as the opportunity for an AI experience to help users practice networking in a risk-free environment.
The next steps include selecting the proper model and LLM training using materials from the Product Owner.
Directions for navigating the Mural Board:
-
Available on desktop, using your mouse or trackpad, zoom in to at least 20%.
(Tip: 25% to 30% for best readability) -
Move from left to right to follow my process within product discovery
Key Findings:
​
-
"Rose, Thorn, Buds" with "Affinity Clustering" help create thematic solutions that are human-centered.
-
Using Human-Centered Design methods for AI experiences gives confirmation to business stakeholders that this product is worthwhile to explore and invest time and resources.
-
Human-Centered Design opens new perspectives to problem solving that places people at the center of the design process.
-
User research showed that the cost of a product can impact the behavior of users.
Key takeaways:
​​
-
Applying Human-Centered Design strategies adds value to AI-driven products in connecting them to actual user needs with innovative solutions that are tailored to individual users.
-
Users might not say what they want, but their behavior shows their true needs.
-
Having a Human-Centered Design framework allows for greater cross-functional collaboration between UX, engineering, design, and marketing.
-
Human-Centered Design is a problem solving strategy that brings value to users and can be adapted both in-person and remotely.