Used by leading CX teams AT
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CUSTOMER INTELLIGENCE PLATFORM
Give every team the customer evidence to act
Turn scattered feedback into trusted insights that show what customers need, why it matters, and where the business should act next
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The problem
You're closest to customer pain. But proving what they want to everyone else is the hard part.
The answer lives in ten different places
Tickets, surveys, calls, reviews, and community threads each hold part of the picture, in different formats and words. By the time you stitch it all together, it’s out of date.
Manual tags and AI summaries leave you answers, not evidence
It’s sometimes fast, but you’re left with a conclusion with nothing underneath it. When a PM or an exec pushes back, you can't show the evidence or if it’s even right.
Insights no one trusts are insights that no one acts on
Without the quotes and source records behind it, your finding lands as opinion. Roadmap stalls, the fix waits, and the next time you bring data, they’re already skeptical.
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The Hidden cost
One issue, many different signals
Different words, across different channels
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AI summaries group by surface themes
One issue gets split, counted, and prioritized as separate problems
Enterpret structures it by context and impact
Connected as one issue, tied to CSAT, retention, revenue & evidence
THE SOLUTION
Ask anything about your customers.
Get the answer, with the evidence.
Every customer question, answered from one structured view of all your feedback. Every answer traces straight back to the customers who said it.
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How it works
From questions, to evidence, to decisions
Connect feedback across every source
Unify tickets, calls, surveys, reviews, and cancel reasons into one view of the voice of customer
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Ask in plain language, get evidence-backed answers
Quantified summaries, quotes, and drill-through to the raw feedback behind every number
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Drive action on what to fix, escalate or monitor
Export stakeholder-ready reports, route to product/CX and push into Slack, Jira, Linear & Claude
Try Enterpret in one minute
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“With Enterpret connected to our customer feedback and subscription data, we can draw a direct line from customer problems to revenue at risk.
We can literally say: these users have written in more than five times this month, this is a likely churn risk, and that we might lose $500k a month from this.
We can see a direct line from customer problems to how much money is at risk.”
We can literally say: these users have written in more than five times this month, this is a likely churn risk, and that we might lose $500k a month from this.
We can see a direct line from customer problems to how much money is at risk.”
MIGUEL POU
CX AI OPERATIONS
“We surface product insights in days not weeks where our teams now have the necessary insights and feedback to prioritize their roadmaps.
Enterpret connects millions of our feedback records, helping align everyone around the top issues or requests and make it accessible to all our teams."
Enterpret connects millions of our feedback records, helping align everyone around the top issues or requests and make it accessible to all our teams."
JESSE WALKER
SENIOR PRODUCT LEAD
“We were able to focus on shipping high-value features instead of bug fixes and ‘keep-the-lights-on’ work. Instead, we leverage engineering resources to ship significantly awesome and valuable features"
ABISHEK VISWANATHAN
CHIEF PRODUCT OFFICER
Frequently Asked Questions
VoC teams use Enterpret to answer any question about customer feedback with evidence. Connect tickets, surveys, calls, reviews, community, and 50+ other sources into one structured view, then ask in plain language and get a quantified answer with the quotes and source records behind it. Instead of maintaining tags by hand or trusting one-off AI summaries, teams get a consistent read of the customer they can share, defend, and act on, then track whether what they surfaced actually changed after the team shipped a fix or launched something new.
Voice of Customer software, also known as Voice of the Customer software, helps organizations collect and analyze feedback from surveys, tickets, calls, and reviews. Enterpret’s VoC platform uses AI to turn raw comments into structured insights that reveal what customers truly want, while automating next steps for assigning owners, notifying teams, and ensuring feedback drives change. Product and CX teams gain clarity, speed, and confidence in every decision. See Enterpret’s voice of the customer software in action.
AI tools like Claude or ChatGPT can quickly analyze customer signals and generate summaries, answers, and workflows. The challenge is that the underlying understanding often resets with every new prompt, workflow, or analysis.
Enterpret continuously structures customer signals into shared customer understanding connected to product context, customer segments, business outcomes, and operational workflows over time.
This allows teams and AI systems to:
- Prioritize based on business impact (churn, NPS, CSAT, etc.) instead of mention volume
- Maintain consistent understanding across workflows
- Operationalize customer understanding into actionable insights, tickets, alerts, prioritization, and AI workflows
- Measure whether launches and decisions actually improved retention, adoption, support burden, and revenue outcomes
Enterpret works alongside AI tools by providing the customer intelligence infrastructure that keeps customer understanding connected, measurable, and continuously evolving.
Enterpret connects support tickets, sales calls, surveys, reviews, social conversations, market research, community discussions, CRM data, and product usage signals into one continuously evolving omnichannel system of customer understanding.
Teams use Enterpret to:
- Prioritize product decisions based on customer and business impact
- Identify the issues driving churn, NPS, CSAT, poor adoption, and expansion risk
- Understand problems along the customer journey increasing support burden and ticket volume
- Surface sales objections, deal blockers, and product gaps from customer conversations
- Track changing customer expectations, competitor movement, and market trends
- Power AI workflows with shared customer understanding across systems and teams
- Connect customer signals to retention, adoption, expansion, and revenue outcomes
- Measure whether launches, fixes, and product decisions actually worked over time
Enterpret's taxonomy adapts as new feedback comes in, so new releases, features, bugs, and policy changes get categorized without a team rebuilding tags by hand. This is what keeps a feedback count from drifting or fragmenting over time, and it's why teams can compare the same theme week over week or quarter over quarter and trust that they're measuring the same thing.
Yes. Enterpret integrates with AI tools, collaboration systems, ticketing platforms, CRMs, and internal workflows through native integrations and MCP-compatible workflows.
Teams use Enterpret to:
- Power AI workflows with shared customer understanding
- Create tickets, alerts, and workflows directly from customer insights
- Operationalize prioritization across Jira and Linear
- Bring customer understanding into Slack, Claude, CRMs, and internal systems
- Keep customer, product, and business context connected across workflows
Many organizations can connect customer data to AI tools internally. The challenge is maintaining consistent customer understanding over time as products, customer behavior, workflows, and business priorities evolve.
Teams use Enterpret because it continuously structures customer understanding across workflows, systems, and AI interactions instead of relying on disconnected prompts, manually maintained taxonomies, or one-off analyses.
This allows organizations to operationalize customer understanding across prioritization, support operations, churn and sentiment analysis, and AI workflows without rebuilding the underlying understanding repeatedly.
Enterpret is used by product, customer experience, support, operations, and GTM teams at high-velocity product organizations.
Teams use Enterpret to:
- Prioritize product decisions
- Identify churn risk, expansion opportunities, and deal blockers
- Reduce support burden
- Operationalize customer intelligence
- Power AI workflows
- Connect customer understanding to measurable business outcomes
