Today’s most popular intelligent products may seem like one-off innovations with somewhat narrow applications. Amazon’s Alexa is just a voice-activated speaker that can help you play music or shop for groceries. Apple’s Siri is just a virtual assistant you can use to call a loved one. Google’s DeepMind is just an unbeatable Go! champion.
While these technologies are specialized in their use, they signal new relationships between customer and product. These interactions are just the beginning of ongoing conversations between business and consumer about what artificial intelligence (AI) can and should be able to do for our products and services.
These conversations quickly lead to matters of privacy, data governance and other questions of ownership. They spark discussion around the opportunities and limitations of intelligent products and services—questions that individual industries, entire markets and even legislative bodies are still collectively sorting out in real time. The difference that designers bring, and indeed how business will succeed with AI, is to provide necessary empathetic context for innovation.
Generally speaking, if a data product provides real, personalized value, we as consumers can instill some level of trust and will opt into sharing information. The moment an intelligent system seems to know more than it should, we rightfully get suspicious. Cultural appetites for data sharing, along with the level of transparency into data sources, play a role in how intelligent products are received in the market.
Designing for intelligence is a fine line to walk, but also a human problem to solve. What’s for certain is that in order to truly use artificial intelligence in service of advancing the human experience, human-centered design needs to be at the center of the development of all intelligent systems. As we work with clients to create intelligent systems and AI-enabled experiences, we consider them on a spectrum:
With this in mind, here’s a look at how AI is helping to evolve customer experiences—and how frog can help.
With capabilities like voice, image and pattern recognition, machine learning and gesture control, we are seeing an evolution in human and machine interaction. In addition, the current AI landscape relies on fairly democratized tools, meaning there’s plenty of opportunity for experimentation.
Combining any number of AI capabilities can unlock so many wholly new experiences that it can be difficult to know where to start. To ensure individual AI efforts become a relevant, cohesive experience for every customer, frog often helps clients develop a Customer Experience Design strategy to align the organization and focus initiatives.
By applying technology in service of human needs, entire ecosystems of products and services can deliver on creating exceptional customer experiences. With frog’s Growth Strategy service, we partner with clients to uncover the right AI opportunities. Through our Venture Design service, we partner with companies of all sizes looking to drive growth through new technology and services using lean, agile methods adapted to meet the design process. frogVentures helps specifically startups and entrepreneurs forge new frontiers with AI and other emerging technologies.
Implementing AI is a spectrum, not a single focal point. Flexible, intelligent systems grow and learn with each interaction. Because they can process such complex data, they can be designed to take on layered cues and adapt at incredible speeds.
‘Adaptive Design’ is personalization in action with endless use cases. For example, soon your family car could learn to change the interface of its dashboard to best suit the skill level and preferences of each driver in your household, simply based on how each driver greets it from behind the wheel.
In a different use case, adaptive design could mean being recommended programming on a streaming service that reflects your history as a user in context with the region you’re in, overall user trends, cultural shifts, history of interaction patterns, still more unlikely patterns hidden in the content itself.
AI is shaping experiences for customers, often in ways they cannot see. Behind the scenes, businesses are experimenting with using AI in internal processes and tools.
Intelligent organizations are learning organizations, able to act on AI insights and opportunities. With Org Activation, frog helps clients understand their readiness to deploy AI by assessing their available datasets and internal capabilities. We work with clients to uncover their customer’s unmet needs, or opportunities to influence change that creates value for the organization. We also use intelligence to iterate on existing offerings and processes so everyone involved with an organization is positioned well to generate value from the inside out.