Cardinal is an AI-based feature backlog tool designed to improve product management by incorporating customer feedback into the feature development process.

With the ability to pull in diverse data from customer feedback platforms, CRM systems, and task management tickets, it helps to determine customer needs and preferences.

Cardinal's core function lies in understanding which features customers want, the significance of these desired features to the customer, and relating the insights formed to an existing product strategy.

The tool also extracts and connects customer feedback to actual features and requests to create a wealthier knowledge base for product development. The AI capabilities also facilitate finding feature requests in customer feedback and fitting this feedback into a broader product strategy.

An additional function catered towards revenue generation allows the calculation and forecasting of the revenue value for each feature. It also offers automated reporting, ensuring seamless updates of feature status and progress.

An essential attribute lies in creating a shared platform for all teams, enabling data-driven decision-making and providing stakeholders with clear visibility of results, without the necessity of constant communication.