I'm UX

I ensure that business goals are align with the desired user experience at every customer touchpoint. My responsibilities lies in foreseeing the right strategy and coming up with the best plan to achieve it successfully.

Having a solid design strategy will enable your design teams to channel their efforts and resources to solve the right problems.

Good design is evidence-based design

My responsibilities combines both business, design, and technology. As a UX strategist, my primary focus is to discover the necessary points of alignment between end-users needs and motivations with business outcomes and work towards that. I do that though a data-driven design approach.

With the current economic pressures on business performance and higher customer expectations, we need to evolve from our previous adoption of design thinking. With the rise of Artificial Intelligence, Machine Learning, and Big Data, end-users don't expect less than outstanding and differentiated experiences.

Experiences are becoming more complex

There are two types of data - Perceived data and actual data. This means that the user experience field is evolving from asking someone about their experience (perceived), to moving to customer insights that businesses can fetch in real-time (actual data). This allows real-time insights that can shape the future of customer experience measurements. Getting feedback in real-time along with asking for questionnaires or interviewing users will allow businesses to have the data they need to make decision-making faster and better. This is the forthcoming key that ensures their users will have an optimal experience. And we need this shift in the UX field to support the evolving and anticipatory experiences. For an experience to adapt to the users' needs and expectations we need to collect data as a process in real-time, so we can take that information and modify the service as they occur in real-time for the user.

I lead the UX vision & implementation across the organization ecosystem.

UX ∩ Data

UX ∩ Business

I'm a data-driven designer with a huge curiosity for how futures technology will shape the design creation process.

I consult companies to create successful digital products. I strive to help stakeholders understand what's required to achieve problem-solution-fit based on real user insights.

I look up for:
// Design for and with AI
// Human-centered AI (HCAI)
// Data-centered Design
// Human-machine Leaning
// Human-in-the-Loop

I look up for:
// Design Transformation
// Experience Design in Agile
// Customer Experiences (CX)
// Measuring Experiences
// ResearchOps

Designing for Humans with AI

Interaction Design (IxD) ∩ AI

I design interfaces and interactions that provide a useful and usable AI system based on system feedback and transparency.

Participatory Design ∩ AI

I have a preoccupation with democratizing design and development of AI systems by including different user groups.

Human-centered Design ∩ AI

I bring focus on the human experience when data scientists are distracted by technological achievements.

Human-centered AI is defined by systems that are continuously evolving as a result of human input or behavior. My focus is to design effective experiences between humans and algorithms. Thus, my purpose is to bridge the gap between machines and human beings by designing responsive AI-driven solutions that can augment humans' capabilities. Human-centered AI includes:

Human + Technology + Design

The success of AI is ground on user engagement. Which in its turn relies on seamless cognitive augmentation that meets its goals and their trust in the system.
Trust is a relatively new design component in interactive intelligent systems and is especially important in building AI and ML solutions.

When it comes to the adoption and reliance on these technologies, trust is essential to support the relationship between the user and the system — even one breach of trust can highly influence user perception of that technology.

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