Enterpret is an AI-driven voice of customer (VoC) platform that enables product, customer experience, and support teams to analyze user feedback at scale. By unifying and interpreting feedback from multiple channels—including support tickets, surveys, app reviews, and community forums—Enterpret transforms raw data into actionable insights.
Unlike traditional feedback analysis tools that rely on manual tagging or surface-level sentiment analysis, Enterpret uses advanced large language models (LLMs) to uncover trends, themes, and product gaps in real time. This empowers teams to make data-informed decisions faster and with more confidence.
Enterpret is built for modern, customer-centric organizations that want to align product development with real user needs. It’s especially valuable for product managers, UX researchers, and growth teams seeking a structured and scalable approach to feedback analysis.
Features
Enterpret offers a rich feature set designed to turn user feedback into strategic advantage:
Multichannel Feedback Aggregation: Automatically collects and organizes feedback from sources like Intercom, Zendesk, Slack, emails, NPS/CSAT surveys, and app store reviews.
Custom AI Taxonomy: Trains LLMs on your unique product language and taxonomy, enabling more accurate and context-aware feedback categorization.
Real-Time Feedback Insights: Instantly identify trending issues, feature requests, and customer pain points across all channels.
Search and Filtering: Drill down into specific feedback by customer segment, topic, sentiment, or timeframe.
Team Collaboration: Share insights with product, engineering, and leadership teams using integrated dashboards and reporting tools.
Automated Tagging: Eliminate manual labeling with AI-driven classification based on your custom criteria.
Root Cause Analysis: Identify the underlying causes of recurring feedback trends with AI-powered synthesis.
These features combine to create a unified system of intelligence that helps organizations prioritize with clarity and speed.
How It Works
Enterpret simplifies the voice of customer workflow into a seamless, scalable process:
Connect Feedback Sources: Integrate Enterpret with your existing tools—like Intercom, Salesforce, Zendesk, or survey platforms—to start ingesting feedback automatically.
Train Custom AI Models: Enterpret works with your team to define your product-specific taxonomy (e.g., features, bugs, performance issues), which the AI then uses to classify and interpret feedback accurately.
Analyze and Visualize: The platform surfaces trends, sentiments, and root causes in real time. Product and CX teams can explore insights through a dynamic interface or export results for further use.
Collaborate and Act: Share insights with stakeholders or link them directly to product roadmaps and sprint planning tools, ensuring feedback translates into action.
Iterate and Learn: As new feedback is ingested, Enterpret continues learning and adapting, improving its accuracy and relevance over time.
The result is a faster, smarter feedback loop that empowers teams to build what customers actually want.
Use Cases
Enterpret supports a wide range of use cases across product, support, and customer success functions:
Product Prioritization: Use feedback trends to determine which features or fixes should be prioritized in upcoming sprints or releases.
Customer Satisfaction Analysis: Understand what’s driving NPS, CSAT, or app store review scores at a granular level.
Voice of Customer Programs: Centralize VoC initiatives across departments and channels.
Customer Churn Insights: Detect dissatisfaction signals early by monitoring support and community feedback.
User Research: Use feedback data to validate hypotheses or uncover emerging use cases.
Product Launch Feedback: Analyze sentiment and user reactions post-launch to iterate faster.
Whether you’re an early-stage startup or an enterprise-scale organization, Enterpret enables deeper understanding and faster action on customer needs.
Pricing
As of May 2025, Enterpret does not publicly list pricing on its website. Instead, pricing is available through a custom quote based on team size, data volume, and integration needs.
Organizations interested in using Enterpret are encouraged to:
Request a Demo: Meet with the Enterpret team to explore your use case and platform capabilities.
Get a Tailored Quote: Receive pricing based on your company’s size, feedback sources, and usage expectations.
This enterprise-level pricing model reflects the platform’s focus on larger product teams and companies that manage high volumes of feedback across multiple channels.
Strengths
Enterpret stands out in the crowded feedback analytics space due to several key strengths:
AI Customized for Your Product: Unlike generic sentiment tools, Enterpret trains AI models on your specific taxonomy and terminology.
Actionable Insights, Not Just Data: Surfaces clear, decision-ready insights that product teams can use immediately.
Enterprise-Grade Scalability: Built to handle massive volumes of data from global products.
Team-Oriented Collaboration: Enables cross-functional use across product, support, success, and executive teams.
Fast Time to Value: Feedback trends and summaries can be surfaced in minutes, not weeks.
These strengths make Enterpret a strategic advantage for teams aiming to build products that truly resonate with users.
Drawbacks
While Enterpret is a powerful solution, it’s important to consider a few potential limitations:
Not Designed for Small Teams: The platform’s scope and pricing may not suit early-stage startups with minimal feedback volume.
Custom Setup Required: Requires onboarding and taxonomy configuration to get started, which may not be instant.
Enterprise Focus: The tool is optimized for mid- to large-scale organizations, which may be overkill for casual use or single-product teams.
These factors are common in enterprise-grade platforms, and Enterpret mitigates them with strong onboarding and support.
Comparison with Other Tools
When compared to traditional survey analytics or ticket tagging systems, Enterpret offers a significant step forward in feedback intelligence:
Versus Zendesk or Intercom Analytics: Those tools provide basic reporting. Enterpret layers in custom AI to uncover deeper insights and trends.
Versus Productboard: Productboard is a roadmap tool with light feedback capture. Enterpret provides full-spectrum feedback intelligence that integrates into roadmapping workflows.
Versus General AI Platforms (e.g., ChatGPT): General LLMs can summarize feedback, but lack the structure, taxonomy training, and integrations needed for scalable feedback analysis.
Versus DIY Feedback Dashboards: Enterpret replaces manual tagging and spreadsheet analysis with AI-powered workflows and visual dashboards.
For companies that want to deeply understand customer sentiment and align roadmaps accordingly, Enterpret offers unmatched clarity and efficiency.
Customer Reviews and Testimonials
Enterpret is used by some of the world’s most product-focused teams, including companies like Ramp, Canva, and Mercari. While specific testimonials on the homepage are limited, the platform highlights real customer outcomes such as:
Faster Product Decision Cycles
Deeper Insight into Customer Needs
Improved Alignment Between Support and Product Teams
Customers consistently praise Enterpret for transforming how they collect and act on feedback, noting improved prioritization and better communication across teams.
Conclusion
Enterpret is a best-in-class AI voice of customer platform that enables organizations to truly listen, learn, and act on customer feedback. With tailored AI models, scalable integrations, and deep analytics capabilities, it gives product teams the insight they need to build with confidence and clarity.
For product-led companies serious about customer-centric development, Enterpret turns scattered feedback into a powerful, unified narrative—delivering a clear roadmap to better products and happier users.
