FeatureSay
FeatureSay is an AI-powered product feedback platform designed to help product teams collect, centralize, and act on customer input. It consolidates feedback from email, Slack, in-app widgets, and CSV imports into a single organized hub, eliminating the chaos of scattered requests across tools. The platform then uses artificial intelligence to automatically surface patterns, detect sentiment trends, and score feature requests by impact, enabling teams to make data-driven decisions without manual sorting. With built-in smart roadmap planning, a changelog publisher, and a public voting portal, FeatureSay closes the loop from raw feedback to shipped features, keeping customers informed and engaged.
- Category
- AI/ML
- Pricing
- Unknown
Problem solved
Product teams often struggle with fragmented feedback across multiple channels, leading to time-consuming manual sorting, duplicate requests, and difficulty prioritizing features. FeatureSay solves this by centralizing all feedback, applying AI to surface actionable insights, and providing a seamless workflow from collection through prioritization to public changelog updates, ensuring alignment and faster decision-making.
Use cases
- Centralize product feedback from multiple channels
- Identify trending feature requests with AI analytics
- Prioritize roadmap items based on user votes and impact
- Publish release notes and notify interested users
- Provide a public-facing feature request board for customers
- Analyze sentiment and theme clusters in feedback
Audience
- Product Managers
- Developers
- Designers
- Startups
- Enterprise
Pros
- AI-powered trend detection and sentiment analysis
- Centralized multi-source feedback hub
- Built-in smart roadmap and changelog publisher
- Quick setup with free tier available
- Seamless integration with Slack and email
Cons
- Limited integrations (Zapier coming soon)
- Currently in public beta (potential instability)
- No on-premise deployment option
- Free tier likely has feature restrictions
- Public portal customization may be limited
Official website: https://featuresay.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/featuresay