Question: I'm looking for a tool that can help my team analyze customer feedback from interviews and identify key themes and insights.

For extracting insights from customer feedback gathered through interviews and other means, ClientZen is a great option. This all-in-one platform automates data cleaning, analysis and monitoring, and delivers insights that can help you build customer loyalty and drive business results. It includes AI-powered data cleaning, auto-tagging and advanced segmentation, and is a cost-effective option for teams including customer experience, product management and marketing.

Another option is Dovetail, a Customer Insights Hub that collects feedback from multiple sources. It transforms customer data into insights by surfacing key moments and themes, and offers tools to edit transcripts and create highlight reels. Dovetail can integrate with tools like Slack and Jira, and has strong security with HIPAA compliance and SOC 2 Type II certification, so it's a good fit for enterprise-scale operations.

Enterpret is geared for centralizing and analyzing customer feedback with adaptive AI models. It collects feedback from multiple sources, including social media and support tickets, and offers detailed insights to fuel product growth. Features include a custom feedback taxonomy and powerful semantic search, so it's a good option for product development teams and customer experience professionals.

For a more lightweight approach, take a look at Olvy, which collects and analyzes feedback from multiple sources like Slack and Twitter. It can generate AI summaries, perform thematic analysis and sentiment analysis to process feedback data. Olvy's centralized feedback management system and integration with tools like Jira and Zendesk can help product teams make data-driven decisions and stay more in touch with customers.