If you're looking for a User Evaluation alternative, CustomerIQ could be a good option. This AI-powered platform is designed for marketing and product teams to collect, analyze and quantify customer feedback across multiple sources. It has a lot of advanced features like AI-powered highlight extraction, filtering and search, and integrates with popular tools like Slack, Hubspot and Zendesk. With a variety of pricing tiers, including a free option, CustomerIQ can help teams get a handle on customer feedback and turn it into revenue through data-driven insights.
Another option is Monterey AI, which uses sophisticated AI to help companies make decisions and improve customer satisfaction. It can draw information from sources like user feedback, tickets and surveys, and has features like Extract, Classify + Triage, and Q&A + Analyze. With its ability to extract insights from raw data without requiring any code, Monterey AI can help product managers and customer success teams develop products and engage with customers more effectively.
For those looking for an omnichannel voice of customer data analysis, Eclipse AI aggregates and analyzes customer interactions from multiple sources like online reviews, surveys and audio/video calls. It has features like AI-powered decision-making and integration with more than 50 tools. Eclipse AI is designed to free up businesses from manual analysis so they can focus on actually making improvements.
Last, Enterpret aggregates and analyzes customer feedback using adaptive AI models to extract insights. It aggregates feedback from social media, sales calls and community forums, and provides detailed insights to drive product growth. With features like a custom unified feedback taxonomy and semantic search, Enterpret is well suited for product organizations looking to become more customer-centric and streamline their feedback process.