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Automate feedback analysis and generate actionable insights.

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Overview

Inari is an AI-native feedback analytics platform that transforms customer feedback into actionable insights and product opportunities, helping teams build products that customers love by automating the analysis of feedback, CRM, and backlog data.

Key Features:

  • Inari automates the analysis of customer feedback, saving hundreds of hours per month by eliminating the need for manual sifting through feedback, interviews, and sales conversations.
  • The platform surfaces clusters of customer insights, allowing teams to identify and monitor crucial trends and act on product opportunities to lift product growth and Net Promoter Score (NPS).
  • Inari provides a unified Voice of Customer (VoC) discovery feed, enabling users to browse summaries, trending insights, and top quotes daily, and integrates with over 5,000 tools to unify customer data for regular analysis.

Use Cases:

  • Product teams can use Inari to automate feedback analysis and insight generation, allowing them to focus on building products that address real customer problems.
  • Customer experience (CX) and sales teams can leverage Inari to improve retention by identifying and fixing issues highlighted by customer feedback.
  • Research teams can utilize Inari to efficiently analyze customer feedback, freeing up time to focus on impactful research projects and enabling them to handle multiple projects simultaneously.

Benefits:

  • Inari enhances product development by integrating real-time customer insights, automating monotonous tasks, and ensuring that product backlogs are prioritized based on revenue impact and customer feedback.
  • The platform provides a sense of agency to users, allowing them to edit or add insights as needed, while the AI acts as a copilot in synthesizing qualitative customer input into actionable insights.
  • Inari's simple workflow and customization options make it a powerful tool for product teams, enabling them to build scalable products and improve NPS by addressing customer issues effectively.

Capabilities

  • Automates feedback analysis from multiple sources
  • Prioritizes product backlogs using AI
  • Generates customer insights reports
  • Identifies and monitors crucial trends
  • Extracts requests, defects, praises, and sentiment from feedback
  • Unifies customer data by integrating with tools like Slack, Notion, and Intercom
  • Personalizes AI analysis by customizing prompts and fine-tuning on exemplary feedback
  • Syncs and enriches product backlogs from Jira and Linear
  • Aggregates requests, insights, and feedback per customer or company
  • Surfaces actionable insights and product opportunities from customer feedback, CRM, and backlog
  • Generates PRDs and prototypes grounded in customer requests and problems
  • Connects backlog with CRMs to prioritize issues by revenue impact and linked companies
  • Provides a unified Voice of Customer (VoC) discovery feed
  • Identifies and prioritizes feature requests
  • Uncovers critical bugs and product issues
  • Informs product roadmap decisions
  • Reduces churn by addressing customer pain points

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