Customer Insight
Customer Insight
Understand and deliver on customer needs.
The ability to turn data into actionable insights, use those insights to achieve product goals, and connect those goals to meaningful business outcomes.
The ability to use customer feedback in all its forms — from casual conversations to formal studies — to understand customer needs and behavior, make better product decisions, and drive meaningful business outcomes.
The ability to apply usability principles, design patterns, and interaction models — independently and with design partners — to make it easy for people and agents to access a product’s full value.
Product builders are cultural ambassadors for their customers. They understand customer needs and represent those needs to the rest of the team. The very best builders go a step further. They empathize with the people their product serves, and they care deeply about whether that product improves people’s lives.
AI is expanding both our understanding of customers and what we can build for them. It can synthesize interviews, support tickets, reviews, sales calls, and other unstructured data, giving product builders access to customer signals that were previously difficult to use. Working prototypes also let customers react to something real earlier in the process. Together, these tools bring a richer picture of the customer into focus faster.
Yet more signal does not automatically produce better judgment. AI can surface patterns, but product builders must still determine what matters, build a causal understanding of customer behavior, and translate that understanding into product decisions. With that understanding, they can use AI to address unmet customer needs that were previously out of reach — and do so through experiences that feel more natural and effective than ever before.