Enterpret

O que é Enterpret?

Enterpret is a customer intelligence platform for product management, customer experience, and voice of customer teams. It brings support, sales, and market signals into a shared structure, connecting customer feedback to product issues and business outcomes.

The platform combines evolving feedback categories with customer context and supporting evidence. Teams can investigate what affects adoption, retention, and revenue, then move findings into connected tools and AI workflows. Its core purpose is to make customer feedback usable for ongoing decisions and follow-through.

O que Enterpret pode fazer?

Unified feedback sources

Combine support tickets, surveys, reviews, and call transcripts into a structured view of product issues and supporting evidence.

Adaptive Taxonomy

Organize signals into shared themes and categories that evolve with customer language, products, and use cases, preserving a consistent basis for analysis.

Customer Context Graph

Attach segments, lifetime value, lifecycle stage, usage, and product areas to signals. Connect issues to churn, expansion, adoption, and support blockers.

Dashboards and AI Insights

Visualize and quantify feedback patterns in dashboards, and use Enterpret AI Insights to ask questions and analyze customer feedback.

AI Agents

Detect anomalies, volume spikes, sentiment shifts, and escalation risks. Configure custom prompts, triggers, and actions, including alerts, ticket creation, and CRM updates.

MCP and workflow integrations

Query and act on feedback from Claude, ChatGPT, and internal tools. Carry findings into Jira and Linear workflows with their associated context.

Casos de uso

“Prioritize product roadmap decisions”

Product managers can assess which users an issue affects and its implications for adoption, retention, or expansion before deciding what to ignore, fix, or build.

“Investigate recurring support demand”

CX teams can examine repeated contacts and rising ticket volume to identify underlying issues. Agents can also identify gaps in help content and draft improvements.

“Respond to account risk”

Customer success and go-to-market teams can use account health agents to detect risk signals and create action plans for affected accounts.

“Find barriers in sales conversations”

Sales and product teams can connect conversations and CRM data to product demand and issues that block deals.

“Follow up after fixes ship”

Monitor linked Jira or Linear issues for completion, then notify teams and trigger customer follow-ups when an issue is resolved.

Perguntas frequentes

Does prioritization rely only on feedback volume?

Enterpret combines feedback with usage, segment, product, and business context. Teams can assess an issue’s impact and supporting evidence alongside how frequently it appears.

How do agent automations start?

Automations can run on a schedule or respond to a signal in customer feedback. Custom agents support prompts, triggers, and actions tailored to a team’s workflow.

What can agents produce beyond alerts?

Agents can create tickets with context, assignees, and priority; update CRM records; send emails; and draft documents or decks. Specific workflows include support coaching plans and account health action plans.