Unwrap is a leading customer intelligence platform that enables organizations to proactively understand customer needs by analyzing unstructured feedback across multiple channels. Designed for product, customer experience, and support teams, Unwrap eliminates the manual effort of tagging and sorting feedback by automatically surfacing trends and actionable insights. The platform is trusted by large enterprises and forward-thinking companies to align their entire organization around the true voice of the customer.

At its core, Unwrap serves as a single source of truth that connects disparate feedback sources—including surveys, support tickets, calls, and public reviews—into a unified data set. By leveraging AI-powered analysis, the platform transforms this messy, unstructured feedback into structured, high-quality insights. This allows teams to shift from reactive guessing to proactive decision-making, ensuring that product roadmaps, customer support improvements, and user research are driven by clear, objective data rather than assumptions.

Some of the key features are:

• Auto Tagger: Automatically categorizes all incoming feedback into organized themes to facilitate exploration and prioritization.
• Assistant: A natural language query tool that provides instant, rich answers based on feedback data, complete with dynamic charts and supporting anecdotes.
• Dashboards: Highly customizable reporting tools that allow teams to visualize data and build trust through transparent alignment across the organization.
• Alerts: Real-time notifications for anomalous trends, ensuring teams stay ahead of emerging issues before they escalate.
• Responder: A tool for managing customer interactions, enabling fast, personalized replies that help turn negative experiences into positive brand loyalty.
• SupportIQ: A dedicated module for monitoring support performance at scale, identifying resolution paths that lead to higher CSAT and lower contact rates.
• Surveys: Conversational, AI-driven survey tools designed to boost response rates by digging into the 'why' behind customer feedback.

The platform is used by connecting feedback from thousands of sources, allowing the AI to analyze the data and generate proactive insights. These insights are then utilized by teams to inform their roadmaps, prioritize tasks, and make smarter, evidence-based business decisions. The onboarding process is streamlined for quick adoption, typically taking less than two weeks to get up and running.

Some common use cases include:

• Product Improvement: Validating app code changes and feature updates by observing the downstream impact on user sentiment and feedback.
• Customer Support Optimization: Reducing ticket volume by identifying and addressing the root causes of recurring issues in documentation or product workflows.
• Trend Identification: Spotting emerging customer pain points early to prevent issues from growing and affecting a larger user base.
• Strategic Decision Making: Using quantitative visibility into customer feedback to support budget allocation and resource planning for customer experience and support teams.
• Roadmap Prioritization: Eliminating guesswork in product development by using customer-sourced data to determine what features or fixes will have the most significant impact.