“Product” can be a physical object, software, a service, or a combination of these. “Market” can refer to target audience segments, ideal customer profiles, personas, or a combination. The “fit” is the magic. “Product-market fit means being in a good market with a product that can satisfy that market.” -Marc Andreessen, co-author of Mosaic, co-founder … Read more
Creating a comprehensive AI strategy plan involves several key steps to ensure alignment with business goals, effective implementation, and long-term success. A good AI strategy plan is a roadmap that guides an organization in leveraging artificial intelligence to achieve its business objectives. It should be comprehensive, adaptable, and aligned with the overall business strategy. Here’s a breakdown … Read more
Artificial intelligence (AI) is significantly enhancing the customer experience (CX) across various industries in several ways: Personalized Experiences Visual Search and Recognition: AI-powered visual search allows customers to find products using images instead of text. It enhances the shopping experience, especially in fashion and home decor industries. Augmented Reality and Virtual Reality: In retail and tourism, AI-enhanced AR and VR experiences allow customers to … Read more
The right investors can help your startup scale. And for those still in the ideation stages, an investor can mean the difference between your idea leaving the ground or never leaving your head. There are various types of investors to consider, each with their own unique benefits and drawbacks. Understanding the different types of investors … Read more
Multivariate testing (MVT) is a technique for testing a hypothesis in which multiple variables are modified. The goal of multivariate testing is to determine which combination of variations performs the best out of all the possible combinations. It’s more complex than A/B testing, which tests only one variable at a time. How it Works Types of Multivariate … Read more
The Lean institute say 95% of process activities associated with manufacturing ultimately add no value to the customer and HCL Technologies say 70% of the engineering changes which delay production are due to brands trying to retrospectively correct issues with design to deal with assembly, cost & quality problems. Design for excellence (DfX) is a … Read more
Artificial Intelligence (AI) plays a significant role in driving and optimizing the circular economy by enhancing sustainability and resource efficiency. The circular economy is a model focused on minimizing waste and making the most of resources by promoting reuse, recycling, and regeneration of products and materials.Here are several key areas where AI contributes to the circular economy: … Read more
To personalize a consumer experience, you must tailor interactions based on customer data such as demographics, purchase history and preferences. As customer expectations have evolved, so has the need for more sophisticated approaches. Enter hyper personalization. While personalization might involve sending a targeted email based on past purchases, “hyper personalization” predicts future behavior and proactively … Read more
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
Your customers have things they want to get done. They have goals and objectives. They have motivations and pain points. Your solution should help your customers meet their goals and achieve their objectives. Your solution should match their motives and be the suave to their paint points. Customers’ Goals and Objectives Customers’ goals and objectives … Read more
How do you know you’re making the right bets with your ideas? Which bets do your ideas hinge on? These are our riskiest assumptions. They need to be tested before you spend your valuable time and money. With the ‘problem’ in mind, map out the customer journey to identify the riskiest assumption. Armed with a … Read more
“There is a flaw at the heart of the term Minimum Viable Product: it’s not a product. It’s a way of testing whether you’ve found a problem worth solving. A way to reduce risk and quickly test your biggest assumption. Instead of building an MVP identify your Riskiest Assumption and Test it.” – Rik Higham, … Read more