Maximize ROI on your AI project with user-centric development
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Building AI Products That Users Love for Maximum ROI
Emerging technologies like AI and machine learning are changing modern product development. Today’s users demand immersive, personalized experiences that anticipate their needs and seamlessly integrate into their daily lives.
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The introduction of AI is only accelerating this transformation, pushing businesses to innovate faster and create smarter, more adaptive products that keep users engaged. For successfully building AI products that resonate with users, a user-centric development approach is essential, strategically considering your users’ potential needs, especially throughout the early stages of development.
Understanding your users
User-centric product development begins with understanding your users. Putting users at the center of your planning and early design stages is essential for building AI products that drive higher adoption rates, deliver meaningful user experiences, and promote greater customer satisfaction and loyalty.
The best way to achieve this is by conducting various forms of user research and early validation. Conducting thorough research on your users will help you gain valuable data-driven insights that will allow you to align your product to their specific needs and preferences.
70% of companies that excel in customer experiences rely heavily on customer feedback to guide product and service decisions, helping them maintain high customer satisfaction and loyalty.
Leveraging your internal teams
Your organization’s Sales and User Support teams can be a great place to begin gathering user feedback and insights. Because of their direct interaction with customers, they have first-hand experience and knowledge of common pain points that could lead you to uncover key opportunities. This type of feedback can be crucial in shaping use case features and establishing foundational insights that inform the rest of your user research.
Gaining valuable user insights
Utilizing various user research methods is essential to gaining a complete understanding of your user base. One of the most effective is creating detailed user personas. These personas offer a roadmap to understanding different user groups’ unique needs, challenges, and goals to deliver a targeted, value-driven solution.
Customer journey maps are another great tool that provides a comprehensive understanding of how different users will engage with your product, from the first point of contact to post-interaction. By mapping out the entire user journey, you can anticipate user behaviors and expectations at each step of the user experience, allowing you to identify key touchpoints and opportunities for innovation in the customer experience. This will ensure that every feature in your AI product is integrated to drive valuable user outcomes.
User testing will allow you to see how real users interact with your product in real-world scenarios. This approach will provide instant feedback and validation of your product’s functionality and performance, allowing you to make critical adjustments before starting development.
With this insight, you can refine features early in the development stages, reducing the need for costly changes later – saving your team countless hours and costs.
Integrating AI to maximize engagement
The insights you gather during the research and discovery process will be pivotal in shaping key development decisions, helping you identify the use cases, applications, and features that will drive the most impact and where AI can be integrated to maximize engagement.
According to Forrester, 71% of enterprises are experimenting with generative AI in real-world use cases, emphasizing that AI has transitioned from being a complementary tool to a core aspect of competitive business strategies.
71% of enterprises are experimenting with generative AI in real-world use cases.
Choosing the right AI features for your users
From providing personalized, data-driven insights to automating time-consuming manual tasks to deploying AI chatbots with adaptive learning, AI has a wide range of applications that can elevate and create a more seamless and engaging user experience.
To identify the areas where AI can be leveraged to add value, analyze learnings from your user research, and align these insights with your business goals. Combining user-focused insights and clear business outcomes will help you prioritize the AI features that drive engagement.
Leveraging existing user data
A great resource during this stage is your existing user data. By analyzing historical data like usage patterns, customer feedback, purchase history, churn, and user segmentation data, you can identify trends that enable you to make more informed decisions when determining what features to include in your AI product. Leveraging this data enables more targeted AI integration, ensuring your solutions are tailored to user behaviors rather than assumptions.
User testing is a helpful tool for evaluating your existing user data and understanding the behavior driving the data you see. Implementing user testing when analyzing user data can reveal valuable insight into your user base’s preferences, motivations, and pain points. Leveraging user testing to understand your existing user data will allow you to validate assumptions early and make data-driven decisions as you develop your AI solution.
Building AI products for maximum market reach
When developing your AI product roadmap, scalability should be at the forefront of your decision-making. Developing an AI product primed for scalability will allow you to seamlessly expand your product with growing user demand, minimizing the need for costly changes, additional resources, or complex migrations as your market presence grows.
Accounting for scalability is especially important when building AI products. Because AI models rely heavily on data, as the volume of data your solution is processing increases over time, your AI system must be able to process, analyze, and learn from this data efficiently while maintaining high levels of performance.
Incorporating scalability from the outset saves costs and future-proofs your AI solution, allowing for smooth and sustainable market growth.
Scaling existing products with AI
Improving scalability isn’t just for new products; existing products can also greatly benefit from AI integration. There are unique benefits to modernizing legacy solutions with AI integrations. Not only does it give new life to an established product and allow you to capitalize on an existing solution, but it also results in immediate improvements to the product’s performance and efficiency, while minimizing disruptions for current users.
Additionally, by implementing AI enhancements into a familiar platform, users can experience enhanced features and functionality without additional training or learning a new system. Overall, enhancing an existing product with AI is also a viable way of staying competitive in an evolving technological market and expanding market reach.
Strategic workshops for successful prototypes with 10Pearls
Developing a comprehensive AI product roadmap that considers these factors is essential for reducing unnecessary risks, costs, and ensuring your AI product is built to succeed in an evolving market.
10Pearls offers a Lean Product Accelerator™ (LPA) to help businesses navigate the complexities of building AI products, enabling them to align their AI development strategy with their business goals. A key element of the 10Pearls LPA™ is the strategic workshop, an intensive session that provides a platform for your team to collaborate with our AI and product experts to identify and prioritize the AI features that will deliver the most value to your users. This workshop allows your team to explore potential AI-driven innovations, helping them clarify where AI can resolve critical bottlenecks to streamline operations or enhance customer experiences.
10Pearls: Maximizing ROI with targeted AI strategies
10Pearls is an experienced AI development partner, empowering businesses from various industries to turn AI concepts into tangible, high-impact solutions that create meaningful user experiences. With 10Pearls’ expertise and guidance, your business can make informed decisions in your AI initiatives, ensuring that your prototype is well-equipped for successful development, while minimizing risks and paving the way for successful product launches that maximize your investments.
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