Quantify customer demand behind feature requests
For when your roadmap debate has 6 opinions and zero data, and you need to show which requests carry the most revenue.
Real Customer Workflows
Product Manager
Marketing Automation
$50M–$100M ARR
Situation
A project manager was writing a PRD for a frequently requested feature but needed customer evidence AND context from the engineering backlog.
Action - prompted Claude with Enterpret MCP connector
Build a PRD generator that pulls customer demand data from Enterpret MCP and related tickets from Jira or Linear to create evidence-backed first drafts.
Impact
The PRD generator pulled demand data from Enterpret and cross-referenced with 14 open Jira or Linear issues. Found 3 customer-reported needs with no matching ticket. What used to take a day of research was done in one prompt.
Product Manager
Video Platform
$200M–$500M ARR
Situation
After quantifying demand, the PM needed the evidence attached to the actual roadmap items — not in a separate report that gets forgotten.
Action — linked feature request themes to Jira or Linear work items
Linked the top feature request themes to their corresponding Jira or Linear issues. Each ticket received the requesting account count, total ARR, and verbatim customer quotes automatically.
Impact
During sprint planning, engineers could see "47 accounts, $2.1M ARR" directly on the Jira or Linear ticket. Prioritization shifted from opinion to evidence.
VP of Product
Sales Intelligence
$100M–$200M ARR
Situation
A VP Product needed to make the board case for API improvements. Internal consensus was split — sales wanted it, engineering didn't see the demand.
Action - asked Enterpret AI
Create a summary of customer demand for API improvements — include total account count, ARR, segment breakdown, and representative quotes for a board presentation.
Impact
Produced a board-ready brief in 5 minutes: 23 accounts ($4.2M ARR), 78% enterprise, with 5 verbatim quotes. Board approved the investment.
