Inari automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. This helps your team prioritize and build products that users love — without having to sort through 1,000’s of sales calls, support tickets, or feedbacks manually.
Inari Key Features
Automated feedback analysis from multiple sources
AI-powered backlog prioritization
Customer and company analytics
Integrations with tools like Slack, Jira, and Linear
Customizable taxonomies and prompts
Sentiment analysis and quote extraction
Insight clustering and trend identification
Inari Use Cases
Analyzing user interviews and customer feedback
Identifying and prioritizing feature requests
Uncovering critical bugs and product issues
Generating customer insights reports
Informing product roadmap decisions
Reducing churn by addressing customer pain points
Pros
Automates the process of extracting insights from customer feedback, CRM, and backlog, saving significant time for product teams.
Helps prioritize product development based on actionable insights, potentially leading to products that align better with user needs.
Reduces the need for manual sorting through extensive sales calls, support tickets, or feedback, increasing efficiency.
Supports data-driven decision-making by highlighting potential product opportunities that might be overlooked.
Cons
May not capture the nuances of certain customer feedback due to its automated nature, potentially missing specific actionable insights.
Relies on the quality and structure of the input data from CRM and feedback systems, possibly affecting the accuracy of the insights.
Could be challenging to integrate with existing workflows or CRM systems, requiring time and resources to adapt.
Shopify Apps
Wix Apps
Ecwid Apps
BigCommerce Apps
