The platform's core functionality revolves around automating the analysis of customer feedback. Inari ingests data from multiple sources, including sales notes, user interviews, Slack requests, and CSV files containing customer feedback. Once the data is consolidated, the AI system automatically processes and categorizes the information, highlighting key insights, requests, defects, praises, and learnings across all customer interactions.
One of Inari's primary strengths is its ability to automatically identify emerging themes and trends within the customer data. The system creates new insights for each identified cluster, providing users with an overview of the trend, metrics measuring volume and sentiment, and direct attributions to specific customers associated with each theme. This feature allows product teams to quickly understand and prioritize customer needs without manually sifting through vast amounts of raw data.
Inari also offers a backlog management feature, where it generates potential product opportunities based on the analyzed customer feedback. These opportunities are presented as issues in a backlog table, summarizing potential actions that address customer problems. The system can pull in additional prioritization data from various sources, including CRM fields, to help teams make informed decisions about which issues to address first.
The platform is designed to integrate seamlessly with existing workflows. It can push insights, summaries, and backlog requests directly to tools such as Slack, JIRA, and Linear, ensuring that the valuable information extracted from customer feedback is easily accessible to relevant team members across an organization.
Inari's AI capabilities extend to sentiment analysis, automatically scoring customer comments for positivity or negativity. This feature helps teams quickly gauge overall customer satisfaction and identify areas that may require immediate attention.
The tool also offers visualization features, allowing users to search, filter, and monitor trends through dashboards built on the consolidated feedback, insights, and customer data. This visual representation of data trends can be particularly useful for presenting findings to stakeholders and making data-driven decisions.
Key features of Inari include:
Inari represents a significant step forward in leveraging AI technology to enhance product development and customer experience management. By automating much of the manual work involved in analyzing customer feedback, it allows teams to focus more on acting on insights rather than spending time gathering and processing data.