Runa is an AI-powered platform that automates the ingestion, tagging, and synthesis of user feedback from various sources like Slack and Jira. It delivers actionable insights directly into workflows, enabling product and sales teams to make data-informed decisions.
Funding
Funding not disclosed
Founders
Product
Problem
B2B SaaS companies struggle to efficiently process and derive actionable insights from the high volume of unstructured user feedback scattered across various communication channels. This fragmentation hinders product teams from identifying critical user needs and sales teams from leveraging customer sentiment for strategic advantage.
Solution
Runa provides an AI-powered platform that automates the ingestion, tagging, and synthesis of user feedback from disparate sources, including Slack and Jira. Leveraging agentic workflows and persona-driven precision, Runa automatically categorizes feedback aligned with a company's product strategy and taxonomy, eliminating the need for manual data processing or changes to existing workflows. The platform surfaces key themes and insights, directly linking each piece of feedback to its original source for full transparency. These synthesized insights are then delivered directly into users' daily workflows, such as Slack, enabling product and sales teams to make data-informed decisions without context switching.
Target Audience
Runa targets product and sales leaders within B2B SaaS startups seeking to operationalize user feedback for product development and sales strategy enhancement.
Features
- AI-driven feedback ingestion from multiple sources including Slack and Jira via one-click authentication.
- Automated, context-aware tagging and organization of user feedback aligned with product strategy and custom taxonomies.
- Agentic workflows for synthesizing feedback into actionable themes and insights without manual prompting.
- Direct integration for delivering synthesized insights into existing tools like Slack for seamless access.
- Full transparency with direct links from insights to their original source feedback.
- Enterprise-grade security protocols for data protection.
- Persona-driven custom models for precise feedback analysis.