How to innovate while understanding customer needs?
To effectively balance the desire to innovate and introduce new products while managing and addressing buyers’ resistance, PMs need to deeply understand their customers—not only their technological needs but also their psychological motivations, pain points, and behavioral tendencies. PMs need to understand that the bigger the expected change, the higher the customers’ resistance to change. The goal isn’t to only innovate but also to offer greater improvements than the status quo. Consumers won’t buy a new dishwasher with few improvements/features but they will most likely consider buying a new dishwasher that has quieter/faster cycles with tremendous technological abilities that make for a different dishwashing experience. In other words, innovation must deliver a clear and meaningful value that justifies the disruption of switching to a new product.
Reducing the Cost of Change and Highlighting Benefits
Loss aversion is the fear that customers have of losing what’s familiar for something new. This is a significant issue for innovators, as this fear outweighs the benefits of new products and features for customers. To facilitate the adoption of new features, PMs should start by acknowledging the concerns of their customers. Change is difficult and the more PMs can reduce the cost of change for customers (and highlight the benefits), the more likely customers are to adapt. Furthermore, PMs should focus on early adopters. To further explain, customers are likely to switch to a product or use new features if people they trust are using it. By growing early adopters, customers are more likely to accept innovation. To sum up, we must understand the customers for innovation to be successful.
The Pitfalls of Feature Creep and Unnecessary AI Integration
Feature creep is the addition of new features/products by sellers without any consideration of customer needs. A good example of this is the current AI revolution. To elaborate, tech CEOs are pushing their engineers to implement AI across all their products without much justification. This is a problem because it often results in overly complex products that fail to address the core needs of customers. Instead of enhancing the user experience, these unnecessary AI-driven features can create confusion, increase learning curves, and lead to customer frustration. To meet sellers’ needs and also address customer needs, PMs need to strike the right balance by prioritizing customer-centric innovations that solve real problems while carefully evaluating which AI features genuinely enhance their product(s).
