Answer any customer feedback question instantly
For when the CEO asks 'what do customers think about X?' and you want to answer in 2 minutes, not 2 weeks.
The Challenge
Research requests pile up
Every team wants to know what customers say about X. The insights team can't keep up with the volume of ad-hoc requests.
Slow answers kill decisions
A proper research sprint takes 2-3 weeks. By then, the decision was already made without the data.
Lost institutional knowledge
The answer is probably somewhere in the data, but nobody can find it fast enough to use in the meeting that's happening right now.
How teams use Enterpret today
Situation
In a leadership meeting, the CEO asked 'why are enterprise accounts complaining about integrations?' and nobody had the answer ready.
Action - asked Wisdom, Enterpret's AI assistant
What do enterprise customers say about integrations? Break down by specific integration and sentiment.
Impact
Had a cited answer with 8 verbatim quotes in under 90 seconds. The 2-week research sprint never had to happen.
Situation
A PM was preparing for a customer advisory board and needed a quick read on how customers felt about reporting capabilities.
Action - prompted Claude with Enterpret MCP connector
Use the Enterpret Wisdom connector to show what customers say about reporting and analytics features. Include both positive and negative themes with volume and sentiment.
Impact
In 2 minutes, had a balanced view — customers loved custom dashboards but found export options limiting. Used it to structure the advisory board.
Situation
A VP Product realized that answering questions was reactive. They wanted the system to proactively surface what the team should be paying attention to.
Action -
Action — configured an Enterpret Quality Monitor agent for weekly intelligence briefs
Quality Monitor agent pushes a weekly “here’s what changed” brief to #product-leadership — new themes, trending issues, and sentiment shifts, without anyone having to ask.
Impact
Pre-empted 70% of ad-hoc research requests. The team shifted from reactive question-answering to proactive intelligence.
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