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.
The Challenge
Feature requests live everywhere
Spreadsheets, CRM notes, Slack threads, support tickets. No single source of truth on what customers actually need or how much revenue is behind it.
Loudest voice wins
Roadmap decisions get driven by whoever escalates hardest. Product can't distinguish between a pain point affecting 3 accounts and one affecting 30.
Evidence goes stale
By the time a research sprint delivers findings, the planning cycle has moved on. Teams need real-time demand data, not quarterly reports.
How teams use Enterpret today
Situation
A PM needed to justify moving "bulk export" up the Q3 roadmap. Sales insisted it was critical; support said it was rare. Nobody had the data to settle it.
Action - asked Wisdom, Enterpret's AI assistant
How many accounts have mentioned bulk export or data export in the last 6 months? Break down by segment and total ARR.
Impact
Wisdom surfaced 47 accounts ($2.1M ARR) requesting bulk export, 80% enterprise. The feature moved from P3 to P1 and was funded for Q3.
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
Built 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.
Situation
A product team wanted to know when a previously low-volume feature request started gaining momentum — not after it became the #1 request, but early enough to plan for it.
Action -
Action — configured an Enterpret Quality Monitor agent in Slack
Quality Monitor agent posts to #product-feedback when any feature request theme crosses 10 unique accounts for the first time.
Impact
The agent flagged "bulk export" when it crossed 10 accounts — 6 weeks before it would have surfaced in a quarterly review. The PM started the business case early and had a fully evidence-backed proposal ready for planning.
