Turn scattered customer feedback into a clear, ranked roadmap grounded in real demand.

How UserVoice turns feedback into priorities

AI Idea Insights

Automatically summarize and surface the most important ideas across all feedback.

Indexing

UserVoice helps rank ideas by real customer impact, revenue, demand, and more.

Theme Detection

Detect emerging patterns and recurring themes across customer submissions.

Segments

Analyze feedback by customer type, plan, or account to understand demand.

Data Enrichment

Attach user, account, and revenue data to every idea automatically.

Data Integration

Pull feedback from all your tools and data sources into one centralized system.

Integrations

UserVoice works out-of-the-box with what you already use

Get clear on what matters

Turn scattered user data into meaningful customer intelligence, guiding smarter decisions and creating a better product.

Talk to an Expert

Your questions, our answers

How does UserVoice prioritize feedback differently than vote-based systems?

UserVoice replaces simple vote counting with revenue-weighted prioritization, linking each request to CRM data so decisions reflect actual business impact rather than which customers submit the most tickets.

How does UserVoice handle feedback from multiple channels like support tickets, NPS, and sales calls?

UserVoice ingests feedback from all connected channels into a single system, automatically grouping similar signals into themes so teams see a unified view instead of managing separate queues by source.

Can UserVoice link customer feedback to churn risk and expansion opportunities?

Yes. UserVoice surfaces which customer problems appear most frequently in at-risk accounts and which unmet needs represent the largest expansion opportunities, connecting feedback directly to revenue outcomes.

Is UserVoice only for product managers, or does it serve customer success and revenue teams too?

UserVoice is built for cross-functional use: product teams use it for roadmap prioritization, CS teams use it to close the loop with customers, and revenue leaders use it to bring customer evidence into forecast and board conversations.

What signals does UserVoice use to rank feedback: votes, revenue, account size, or something else?

UserVoice ranks feedback using a combination of signals, including revenue, account size, retention risk, and demand frequency, all pulled from connected CRM and support data rather than relying on manual scoring or vote totals.

How is prioritizing by revenue better than prioritizing by vote count?

Vote counts reward the loudest customers; revenue-weighted prioritization reflects the accounts and dollars actually behind each request, so teams build what protects retention and drives expansion, not just what gets the most clicks.