Enterpret vs Chattermill

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Chattermill shows what’s happening. Enterpret shows why it’s happening.

Both unify customer feedback. Only Enterpret connects every signal to customers, features, and revenue so you understand what’s happening, why it’s happening, and what to do about it.

Enterpret turns every feedback spike into strategic signal

Enterpret connects feedback to customers, features, and revenue, not just bugs

Enterpret adapts with a five-level taxonomy that grows with your business

Enterpret provides higher accuracy, richer context, and more actionable intelligence

Why leading teams chose Enterpret vs. Chattermill

01

Enterpret uncovers meaning, not just mentions

Chattermill groups feedback into themes. Enterpret goes further by extracting the drivers, intent, and impact behind every signal so teams can understand the real story.

Product comparison
Chattermill
Surfaces root causes behind issues
Reveals why customers feel a certain way
Groups feedback into high-level themes
Connects every signal to business outcomes
Maps feedback to customer, feature, and revenue impact
Primarily text and sentiment-driven
Distinguishes themes, intent, and tone with AI
Captures meaning behind every comment
Limited to keyword and theme patterns
Explains why metrics shift
Surfaces drivers behind churn, drops, or spikes
Shows what changed but not the underlying cause
02

Enterpret adds business context that others miss

Chattermill reports customer sentiment. Enterpret connects it to customers, product areas, and revenue outcomes so you can prioritize by real business impact.

Product comparison
Chattermill
Customer and revenue context on every signal
Know which customers, segments, and dollars are affected
Sentiment reporting without revenue context
Prioritizes issues by business impact
Focuses on what moves retention and adoption
Volume and sentiment weighted
Combines qualitative and quantitative insights
Blends feedback, usage, and customer metadata
Text-first approach with limited enrichment
Provides actionable, outcome-focused insights
Tells teams what matters and why it matters
High-level insights without deeper guidance
03

Enterpret learns, adapts, and acts automatically

Static taxonomies and fixed models only take you so far. Enterpret’s adaptive intelligence evolves with your product, your language, and your customers so insights stay accurate and useful.

Product comparison
Chattermill
Adaptive taxonomy tailored to your business
5-layered taxonomy that learns and evolves with you
Fixed theme structures that need manual upkeep
AI that learns and adjusts in real time
Reflects product changes instantly
Slow to update as your product evolves
Intelligence that monitors & acts
AI Agents that alert and act on trends
Insights still require manual interpretation
Continuous model learning and improvement
Learns from every piece of feedback and improves in real time
Models require manual tuning and adjustments

How our customers build with Enterpret

Product and CX leaders at the fastest growing companies use Enterpret to win customer love.

Explore customer stories

Enterpret has transformed our ability to use feedback to prioritize customers and drive product innovation. By using Enterpret to centralize our data, it saves us time, eliminates manual tagging, and boosts accuracy. We now gain near real-time insights, measure product success, and easily merge feedback categories. Enterpret's generative AI technology has streamlined our processes, improved decision-making, and elevated customer satisfaction

Apollo.io
Nathan Yoon
Business Operations, Apollo.io

We chose Enterpret for its intuitive UI and seamless data integrations, which enable us to combine data from all sources and generate deep, multi-layered insights. The insights we've gained are already driving meaningful change across our organization, and their responsive support and collaborative approach have been invaluable.

Vimeo
Nir Ben Ari
Director, Customer Support, Vimeo

We use Enterpret for our VoC & Root Cause Elimination Program. It's helping us solve the issues of aggregating disparate sources of feedback (often tens of thousands per month) and distilling it into specific reasons, with trends, so we can see if our product fixes are delivering impact.

Apollo.io
Nathan Yoon
Business Operations, Apollo.io

The advantage of Enterpret is that we’re not relying entirely on human categorization. Enterpret is like a second brain that is looking out for themes and trends that I might not be thinking about.

Notion
Misty Smith
Head of Product Operations, Notion

Before Enterpret, organizing research data took an entire day. Now, research synthesis is 83% faster - it takes just 15 minutes to pull the data and another 15 minutes to start synthesizing. Enterpret removes the manual work, allowing me to focus on strategic thinking with a clear mind.

Descript
Mike McNasby
User Research Lead, Descript

Enterpret's Gong Integration is a game changer on so many levels. The automated labeling of feedback saves dozens of hours per week. This is essential in creating a customer feedback database for analytics.

Osmind
Michael Bartimer
Revenue Operations Lead

With Enterpret powering Voice of Customer we're democratizing feedback and making it accessible for everyone across product, customer success, marketing, and leadership to provide evidence and add credibility to their strategies and roadmaps.

Figma
Michael Nguyen
Head of Research Ops and Insights, Figma
UNIFY

Unify feedback with your business context to prioritize what truly matters

Connect every customer voice in one place

Feedback lives everywhere, making context hard to track. Unify feedback across 50+ sources into one real-time view.

How Canva Unifies Millions of Feedback
Read Case Study →

Automatically organize feedback into contextual themes and tags

Save hours of manual tagging with our 5-level Adaptive Taxonomy that builds structure around your business reality and continuously evolves with every signal

How Canva Unifies Millions of Feedback
Read Case Study →

Capture the full story behind customer feedback

Automatically connect feedback to the people, revenue and product it impacts to focus on signal, not noise

How Canva Unifies Millions of Feedback
Read Case Study →

Extract deeper insights with data enrichment workflows

Messy data blocks clarity and speed. Enrich feedback with AI-powered workflows that standardize and structure fields

How Canva Unifies Millions of Feedback
Read Case Study →
Understand

Transform raw feedback into data you can act on

Turn feedback into clear, quantifiable insight

Traditional reports stop at what happened. Leverage our dashboards reveal the “why” behind every trend, uncovering patterns, drivers, and shifts as they happen

How Notion Automates User Insights
Read Case Study →

Ask AI any question about your feedback & customers

Query Wisdom AI in natural language and get instant, contextual insights on your customers

How Notion Automates User Insights
Read Case Study →
Act

Turn insights into action with AI Agents and automated workflows

Turn every signal into action automatically

Issues often go unnoticed until it’s too late. Detect issues and trends as they happen and route context-rich alerts to the right owner instantly

How Bitvavo Reduced Response Time
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Turn every resolution into a trust-building moment

Resolved issues mean little if customers never know. Automatically detect resolutions, tailor follow-ups, and close the loop to win back champions

How Bitvavo Reduced Response Time
Read Case Study →

Trigger workflows enriched with customer insights

Insights stuck in spreadsheets & reports don’t drive change. Automate workflows in Jira and Linear with full context

How Bitvavo Reduced Response Time
Read Case Study →

Centralize feedback and organize by theme, feature & revenue impact

Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons

How Notion Automates User Insights
Read Case Study →

Tab two

Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons

How Notion Automates User Insights
Read Case Study →

Tab three

Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons

How Notion Automates User Insights
Read Case Study →

Tab four

Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons

How Notion Automates User Insights
Read Case Study →
UNIFY

Unify feedback with your business context to prioritize what truly matters

Centralize feedback and organize by theme, feature & revenue impact

Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons

How Notion Automates User Insights
Read Case Study →

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Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons

How Notion Automates User Insights
Read Case Study →

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Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons

How Notion Automates User Insights
Read Case Study →

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Let AI handle the heavy lifting by unifying feedback and structuring it into layered, customizable themes and reasons

How Notion Automates User Insights
Read Case Study →

Where customer voices flow into product decisions

Bring customer feedback into the tools that power product planning & prioritization

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Start transforming feedback into customer love.

Leading companies like Perplexity, Notion and Strava power customer intelligence with Enterpret.

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