Feedback analytics features

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AI analysis for user feedback and feature requests

Sentiment Sensor: prompts high-impact actions

Allow AI to help you identify key topics and accelerate product planning & development.

Positive vs. negative topics

View topics of positive and negative feedback. Easily prioritize what needs fixing and what is ready to scale.

Actionable trends

Monitor requests, sentiment, and user segments to uncover emerging trends and take action accordingly.

Quantify sentiments

Analyze the importance and priority of feedback topics by measuring sentiment and impact on user segments.

Save time on triaging labels, urgency, and replies

Optimize workflows so that you can effortlessly make strategy happen and users happy.

Smart labels

Categorize and sort similar feedback into themes with labels. Define a selection of labels for AI to easily take over.

Automate ticket triaging

Prioritize high urgency issues and frequently requested topics. Forward tickets to sprint management tools to deliver value faster.

AI-generated replies

Engage with users on incoming feedback to build rapport and share updates. Select from different tones generated based on the feedback text.

Get from info to insights with the right charts & metrics

Track what matters with a dashboard that provides relevant insights and flexible tools.

AI-assisted insights

Save valuable time by swiftly gaining a comprehensive understand of each project and the feedback in your selected time frame.

Clear discovery results

View the response summaries in real time to stay on top of overall insights. Dive into details of research and discovery customer surveys.

User-centric metrics

Monitor user satisfaction scores, bug resolution time, etc by features, behaviors, segments, and time.

User analytics made simple & actionable

Data for action

Discover, build, and validate faster than ever.

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