Feedback → Specs → Code
Turn customer feedback into
specs your coding agent can ship
Preloom ingests feedback from Zendesk, Intercom, and Slack. AI clusters themes, scores priorities, and generates implementation-ready specs. Export to Cursor, Claude Code, or Windsurf in one click.
Step 01
Every signal in one place
Your feedback flows in from Zendesk, Intercom, Slack, CSV uploads, and Notion. Preloom normalizes everything — support tickets, survey responses, interview notes — into a single stream with sentiment analysis and source tracking.
Step 02
AI finds the patterns you'd miss
Preloom clusters feedback into themes automatically, scored by severity, frequency, and business impact. See which problems affect your enterprise customers vs startups, and watch trends shift in real time.
Step 03
Specs that write themselves
One click generates a full engineering specification. User stories with acceptance criteria, edge cases, technical notes, UI changes, data models — every requirement linked to the original customer quotes that drove it.
Step 04
Straight to your coding agent
Export as Cursor Rules, Claude Code context, Windsurf config, AGENTS.md, Markdown, or JSON. Your coding agent gets structured requirements, not a vague brief. It starts building immediately.
Step 05
Share and ship, everywhere
Export specs to Slack, Notion, or your coding agent. Share insights with stakeholders where they already work. From customer signal to shipped code — every decision traceable back to real evidence.
Without Preloom
- Read hundreds of support tickets manually
- Spot patterns from memory
- Write specs in Google Docs from gut feeling
- Engineers ask "where did this come from?"
- 6+ hours per week. Specs still incomplete.
With Preloom
- Feedback auto-ingested from your existing tools
- AI clusters themes and scores by severity
- Specs generated with evidence citations
- Engineers get .cursorrules with full context
- 30 seconds. Every claim traceable.
User stories
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per spec
To generate
0s
a full spec
Export
0+
formats
Evidence
0%
traced
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