Olvy is an AI-powered feedback analytics platform that helps product teams unify, analyze, and act on customer feedback from multiple channels. It automatically ingests feedback from Slack, Discord, app stores, support tickets, surveys, and more, then enriches it with AI-driven insights.
Key Features
- Unified Feedback Repository: Collect feedback from integrated sources like Slack, Discord, Twitter, Telegram, Google Play Store, Zendesk, Intercom, and Zapier.
- AI Auto-Listener: Automatically detects genuine feedback, filtering out noise.
- Sentiment & Thematic Analysis: Understand user sentiment and identify recurring themes.
- AI-Generated Summaries & Reports: Turn large volumes of feedback into concise, actionable summaries.
- Feedback Categorization: Auto-identifies feedback types (e.g., feature request, bug) and assigns custom properties.
- Changelog & Feature Adoption Tools: Share product updates via embedded widgets to increase feature adoption.
Use Cases
- Product managers consolidating feedback from diverse sources to prioritize roadmap decisions.
- Customer experience teams analyzing user sentiment and common pain points.
- SaaS companies looking to communicate updates and boost feature adoption through changelogs.
Who It's For
Olvy is designed for product managers, product leads, and product builders in technology and SaaS companies.