# FlagUp

> FlagUp is a customer feedback management platform. Teams collect feature requests, suggestions and bug reports through an embeddable widget, a public feedback portal and an anonymous suggestion box, let users vote on what matters, and publish a public roadmap and changelog so customers can see what is being worked on. Paid plans add AI analysis of the feedback a project has collected: sentiment scoring, tagging, priority scores, grouping of likely duplicates, and retention-risk signals. Plans, limits and what each tier includes are listed on the [pricing page](https://flagup.io/pricing).

## Product

- [FlagUp](https://flagup.io/): Overview of the FlagUp customer feedback platform, its collection channels, voting board, roadmap and changelog.
- [Feature Requests](https://flagup.io/feature-requests): Collect feature requests in one place, rank them by votes and prioritize what to build.
- [Public Roadmap](https://flagup.io/roadmap): Publish a live roadmap that reflects each request as it moves through approved, in progress and completed.
- [Changelog](https://flagup.io/changelog): Publish what shipped, with entries that can be pre-filled from the request they close.
- [Anonymous Suggestion Box](https://flagup.io/suggestion): Collect suggestions from customers, employees or students without requiring an account.
- [Feedback Widget](https://flagup.io/feedback-widget): Embeddable in-product feedback widget, added with a single script tag.
- [Churn Insights](https://flagup.io/churn-insights): Ranks feedback submitters by negative sentiment and inactivity to surface retention-risk signals (paid plans).
- [Pricing](https://flagup.io/pricing): Current FlagUp plans, limits and what each tier includes.

## Resources

- [Blog](https://flagup.io/blog): Guides on customer feedback, feature prioritization, product discovery, roadmaps and retention.
- [Legal](https://flagup.io/legal): Terms of service, privacy policy and how FlagUp handles data.

## Key Guides

- [Collecting Actionable User Feedback](https://flagup.io/blog/how-to-collect-actionable-user-feedback): What makes feedback actionable, which channels produce it, and the questions that get enough context to act on.
- [Using a Feedback Widget for In-App Signals](https://flagup.io/blog/how-to-use-feedback-widgets-to-capture-in-app-user-signals): How to deploy an in-product feedback widget, what it captures, and how to act on what it collects.
- [Collecting Anonymous Feedback](https://flagup.io/blog/how-to-collect-anonymous-feedback-without-losing-accountability): How to run anonymous feedback so it stays honest without becoming unaccountable noise.
- [What Is Feedback Centralization?](https://flagup.io/blog/what-is-feedback-centralization-definition-examples-and-tools): Consolidating product input into one system of record so a theme can be counted across every channel it arrived through.
- [What Is Voice of the Customer?](https://flagup.io/blog/what-is-voice-of-the-customer-definition-examples-and-tools): How teams gather what the people they serve need, analyse it as a body of evidence, and route findings to whoever decides.
- [Feature Request Management](https://flagup.io/blog/ultimate-guide-feature-request-management): The full lifecycle of user ideas, from intake and organization through prioritization to the roadmap.
- [What Is Feature Voting?](https://flagup.io/blog/what-is-feature-voting-definition-examples-and-tools): How upvoting gives teams a ranked view of demand, and where raw vote counts mislead.
- [Feedback Scoring](https://flagup.io/blog/how-to-use-feedback-scoring-to-rank-features-by-user-impact): Building a scoring model that ranks requests by real user impact rather than by vote count alone.
- [Feedback Deduplication](https://flagup.io/blog/how-to-use-feedback-deduplication-to-clean-your-backlog-fast): How to find and merge duplicate requests so a backlog can be prioritized accurately.
- [What Is a Feedback Loop?](https://flagup.io/blog/what-is-a-feedback-loop-definition-examples-and-tools): Why a feedback loop closes only when the person who spoke is told what happened, and how to close it.
- [Public Roadmaps and Retention](https://flagup.io/blog/how-to-use-a-public-roadmap-to-improve-user-retention): What separates a public roadmap that keeps users from one that costs trust, and how to run it.
- [Public Changelogs](https://flagup.io/blog/how-to-use-a-public-changelog-to-build-saas-user-trust): How to write, structure and publish a changelog that shows users what changed and why.
- [Product Discovery Techniques](https://flagup.io/blog/product-discovery-techniques-that-keep-your-roadmap-honest): Eleven discovery techniques compared by what each one can answer, and how to pick one from your riskiest assumption.

## Comparisons

- [FlagUp Comparisons](https://flagup.io/compare): Feature-by-feature comparisons of FlagUp with Canny, Productboard, Pendo, UserVoice and 26 other feedback, research and product management tools.

## Languages

- [English](https://flagup.io/): FlagUp in English. Product pages and the comparison library are also published in French, Spanish and Portuguese.
- [Français](https://flagup.io/fr): Version française de FlagUp : pages produit, boîte à suggestions et comparatifs.
- [Español](https://flagup.io/es): Versión en español de FlagUp: páginas de producto, buzón de sugerencias y comparativas.
- [Português](https://flagup.io/pt): Versão em português do FlagUp: páginas de produto, caixa de sugestões e comparativos.

## About FlagUp

FlagUp is built for teams that need a structured way to hear from the people who use what they make: startups, small product teams, agencies, freelancers and growing companies, as well as schools and organizations that want an anonymous suggestion box. It is not restricted to SaaS. The problem it addresses is feedback that arrives scattered across email, chat and support threads and never becomes a decision: FlagUp centralizes submissions, lets users vote so demand is visible, and gives the team a public roadmap and changelog to close the loop with the people who asked. On paid plans it adds AI analysis of the feedback a project has collected, including sentiment, tagging, priority scores, grouping of likely duplicates, and retention-risk signals drawn from the sentiment and recency of what people submit.