If you need a system to gather and process customer feedback from multiple touchpoints, Enterpret is worth a look. It aggregates feedback from social media, sales calls, support tickets and community forums using adaptive AI models to understand the feedback. The system comes with a customizable unified feedback taxonomy, semantic search and an analytics suite, which can help you streamline your customer feedback process and spot trends.
Another option is Iterate, a Customer Insights Manager that can be integrated with Airship, Braze and HubSpot. It offers in-app mobile surveys, one-click email surveys and embedded website surveys, as well as an AI-powered Research Assistant to analyze text responses. Iterate's advanced filtering and segmentation tools let businesses dig into customer problems and sentiment, so it's good for customer-centric decision making and better feedback handling.
If you want to go all in on AI, CustomerIQ has native integrations with Slack, Hubspot, Zendesk and other services, as well as a wide range of API connections. The system uses AI to extract highlights, filter and search, so marketing and product teams can process and understand customer data. Team alignment, AI assistant and document editing tools let CustomerIQ scale for enterprise-class security and performance, and it's a good option for those who want to streamline customer feedback analysis and turn it into revenue through data-driven insights.
Last, Olvy is a user feedback management system geared for product teams that want to collect, analyze and prioritize customer feedback from Slack, Discord, Twitter and other sources. It can generate AI summaries, thematic analysis and sentiment analysis for large volumes of feedback data. Olvy has a centralized feedback management system and integrates with ClickUp, Linear, Jira and Zendesk, so product teams can make data-driven decisions and build products that customers love.