For Product Managers
From Scattered Noise to Strict Signal.
PMs are drowning in fragmented feedback from Zendesk, Sales gongs, and internal Slack channels. Ketchbot synthesizes qualitative data into actionable, revenue-mapped roadmap items.
The Feedback Black Hole
User requests get lost in archived Slack channels.
When feedback lives in 10 different tools, you rely on memory and manual tagging to justify your roadmap. Critical patterns are missed, and the loudest customer wins.
"Can we export to CSV?" - Zendesk
"We need SSO" - Gong Call
"Dark mode please" - Slack feedback
"Needs better filtering" - Email
Fragmented Data
Feature Tracing
Justify the roadmap with hard data.
Ketchbot auto-tags requested features across your stack and links them directly to Jira epics, showing you not just who asked for it, but the total pipeline value attached to the request.
Feature: SSO Integration
$2.4M PipelineZendesk Tickets: 14
Sales Calls (Gong): 8
Lost Deals: 3 (-$450k)
The Impact Report
See the blast radius of an engineering delay.
If an engineering epic slips by a week, Ketchbot instantly alerts the PM with the calculated ARR at risk. You can prioritize features based on revenue impact rather than developer estimates.
Impact Analysis
Risk$1.2M
Epic: Enhanced ExportDelayed
Slipped from Sprint 43 to Sprint 45 due to API limitations.
2 Renewals Pending1 Enterprise Deal
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