Features customizable on-page survey widgets and feedback polls for capturing user sentiment.
Beyond passive observation, the platform includes active Voice of Customer (VoC) tools, specifically targeted on-page surveys and feedback widgets. Marketers and UX researchers can trigger dynamic pop-up surveys or slide-in polls based on specific user behaviors, such as exit intent, scrolling halfway down a page, or viewing a specific product. This allows teams to capture contextual, qualitative feedback exactly when the user is experiencing friction, such as asking 'What stopped you from buying today?' right as they abandon a cart. The survey logic supports complex branching, allowing follow-up questions based on the user's previous answer, making it an exceptionally powerful qualitative research tool.
Captures user insights directly during sessions, integrated within existing analytics.
Enhancing user experience, feedback surveys collect direct feedback during user journeys. Targeted surveys can be deployed at key session points, capturing insights tied to user actions. While effective in capturing user sentiment, it relies on the existing analytics infrastructure, not as a standalone tool. Users can configure survey appearance, but complex survey logic and analysis may require external tools.
Interactive feedback campaigns enable triggering of custom surveys based on user behaviors.
Interactive feedback campaigns allow teams to create custom, multi-step surveys that appear dynamically on the website. Surveys can be targeted based on user behaviors, such as exit intent, specific scroll depth, or visiting certain URLs. This behavioral targeting ensures that feedback is gathered at important moments, providing valuable insights. The integration with session recordings allows analysts to cross-reference survey responses with user sessions. This feature enhances the ability to understand user experiences and identify areas for improvement.
Integrated survey tools trigger contextual questions based on user behavior.
Integrated survey and polling tools offer a proactive approach to gathering user feedback. Surveys can be configured to appear when specific conditions are met, such as exit intent or prolonged inactivity on a checkout page. This behavioral triggering ensures feedback is collected at moments of potential friction. The integration with the platform allows for immediate analysis of user responses. By directly addressing user concerns, teams can enhance the user experience and improve conversion rates.
Native surveys module triggers contextual pop-up questions based on user behaviors.
The native surveys module provides tools for gathering qualitative insights through interactive polls and surveys. These can be triggered by user behaviors, such as exit intent or scrolling to a specific point on a page. This behavior-based logic ensures that questions are asked at relevant moments, capturing user feedback when it matters most. The collected responses are integrated with quantitative data, offering a detailed view of user interactions. This feature aids in identifying and addressing user experience issues effectively.
Minimal feedback survey support, requiring third-party tools for detailed creation and analysis.
Minimal support for feedback surveys is offered, lacking an integrated solution for collecting user feedback directly. While surveys can be sent via email or SMS, the platform does not provide a dedicated survey creation or analysis tool. Users may need to resort to third-party survey tools to design, distribute, and analyze feedback in detail. This could be a limitation for businesses aiming to integrate feedback mechanisms tightly into their customer communication workflows. The lack of native survey capabilities may require additional resources for effective feedback management.
Feedback surveys require external tools due to minimal native support.
Minimal support for feedback surveys is provided, as this is not a core capability of the platform. Users looking to gather customer feedback through surveys might need to rely on external survey tools integrated with the platform. This feature is not natively built into the system, meaning that while it can be approximated through integrations, it does not offer a dedicated native implementation. Additional steps may be required for users to collect and analyze feedback data effectively, making it less ideal for businesses that heavily rely on survey-based insights.
