Experience Design Across the Platform

Experience Design teams don’t just put a couple of nice new UI levels on top of applications. They design the application experience top to bottom for simplicity, mobility, and extensibility.  Today, customers move across devices. Depending on the task that they need to do: a simple task that they can complete on their wearable or phone, a … Read more

Augmented Reality Artificial Intelligence Experience Design

Experience design (XD) plays a crucial role in leveraging the capabilities of artificial intelligence (AI) and augmented reality (AR) to create engaging, intuitive, and human-centered experiences. Here’s how XD principles intersect with AR and AI: Contextual Awareness AI can help AR applications understand and adapt to the context of the person wearing the headset. By analyzing … Read more

Virtual Reality Artificial Intelligence Experience Design

Designing experiences for virtual reality (VR) artificial intelligence (AI) involves considering several key factors to create immersive, intuitive, and engaging interactions. Here’s a breakdown of important aspects to consider: Understanding Needs and Goals Start by understanding the needs, goals, and preferences of your target audience. What are they trying to accomplish in the VR environment? … Read more

Deliver the Right Message at the Right Moment with Artificial Intelligence Experience Design

message in a bottle on the beach shore

Designing artificial intelligence experiences (AIXD) to deliver the right content at the right moment requires a thoughtful approach that combines research, data analysis, and smart algorithmic decisions. Here’s a guide on how to achieve this: Research and Understanding Content Personalization Context Awareness Real-time Data Analysis Dynamic Content Delivery Feedback Mechanisms Transparency and Control Ethical Considerations … Read more

The Return on Investment of Artificial Intelligence

The return on investment of artificial intelligence is multifaceted and extends beyond mere financial metrics. While the cost efficiency and operational optimizations are tangible and quantifiable benefits, the enhanced decision-making, personalized customer experiences, revenue growth, and risk mitigation contribute to the holistic value proposition of AI adoption.  Innovation that Drives Revenue Growth and Market Expansion … Read more

Artificial Intelligence Experience Design Discovery Process

The Artificial Intelligence (AI) experience design (XD) discovery process involves understanding and defining your target customer’s interaction with your AI systems to create meaningful and effective experiences. Here’s a general guide to the discovery process for AI XD: 1. Define Objectives and Goals:    – Clearly outline the objectives of the AI system and the goals … Read more

Chatbot User Experience Guidelines

chatbot

Creating an effective and user-friendly chatbot experience involves considering several factors, including human-centered design principles and conversational flow best practices.  Here are some guidelines to enhance the user experience of your chatbot: 1. Understand Your Audience    – Identify your target audience and tailor the language and tone of the chatbot accordingly.    – Consider user demographics, preferences, … Read more

Contextual Inquiry

Contextual inquiry is a semi-structured observational and interview (inquiry) method to understand how and why a prospect or customers uses (existing) or may use (prototype) your solution in the environment that they use it (context). This could be using an appliance in a kitchen, a tool on the shop floor, a device in a lab, … Read more

Customer Segment Profiles and Personas: Data to Insights

According to Greg Chapman, Founder and CEO of The Pocket CMO, ‘customer segmentation provides a comprehensive understanding of your current and potential consumers that produces a variety of rich data including identifying the financially-optimal targets for your brand.’ Greg shares that: “Profiles are built from data. Personas are built from insights. You don’t market to … Read more

Increase Quality and Time to Market with Rapid Prototyping

Markets are changing faster than ever. Driven by expediential changes in technology, customers want more personalized experiences and they want it now. How do you keep up with the ever-changing market landscape and deliver high-quality products and services? No matter how deep our up-front understanding is of our market, we really cannot predict our customers’ … Read more

Mental Models

Mental models are psychological representations of real, hypothetical, or imaginary situations. They were first postulated in the late 1800’s by the American philosopher Charles Sanders Peirce but it was the Scottish psychologist, Kenneth Craik, in 1943, who describes mental models as the mind constructs “small-scale models” of reality that it uses to anticipate events, to … Read more

Artificial Intelligence Experience Design Principles

As was the case with the mobile revolution, and the web before that, machine learning is causing us to rethink, restructure, and reconsider what’s possible in virtually every experience we build. At Google, they call this Human-Centered Machine Learning – staying grounded in human needs while solving for them—in ways that are uniquely possible through … Read more