Loom

Sync Revo with your Loom for video messaging, screen recordings, and team collaboration.

What It Is

Revo connects to your Loom account to read video recordings, transcripts, comments, and viewing data, then transforms your async video communication into searchable, structured intelligence that powers knowledge sharing.

What It Unlocks

Search your entire Loom library using natural language across all video transcripts, titles, descriptions, comments, and viewer activity
Auto-extract knowledge from video content, product demos, feature walkthroughs, bug reports, customer feedback, and team updates
Cross-reference Loom videos with Jira issues, user feedback, product documentation, meetings, and Slack discussions
Trigger workflows based on Loom events like new video uploads, viewing milestones, comments added, or specific keywords mentioned
Auto-generate documentation from video content, create transcripts, extract action items, and turn demos into written guides

How to Use It for Emails

When drafting email replies, Revo automatically pulls relevant Loom context:

"What did Customer X say about Feature Y?"
- → Revo searches Loom feedback videos for mentions, extracts key quotes, and provides video timestamps
"How does the new onboarding flow work?"
- → Revo finds the walkthrough video, summarizes steps from transcript, and includes the Loom link
Includes source links to Loom videos with exact timestamps so recipients can watch relevant clips directly

Result: Emails grounded in actual video context, no more "I think someone recorded this" or missing async updates.

How to Use It from Chat

Ask questions directly in Revo:

"Show me all bug report videos from this week"
"What feature demos has the sales team recorded this month?"
"Summarize the product walkthrough video from yesterday"

Revo searches across Loom transcripts and metadata, delivering answers with video links and key timestamps.

How to Use It in Workflows

Trigger workflows FROM Loom:

New bug report video uploaded
- → Transcribe and analyze
- → Extract bug details, steps to reproduce, environment
- → Create Jira issue with video link
- → Notify #engineering
- → "Bug reported via Loom: login failure on Safari, see video for details"
Feature demo video published
- → Extract feature descriptions and use cases
- → Update Product Features module
- → Generate user guide draft in Confluence
- → Post to #product
- → "New demo for Feature X, auto-generating documentation"
Video receives 3+ comments
- → Analyze discussion thread
- → Detect unresolved questions or concerns
- → Create follow-up task
- → Notify video creator
- → "Design review video has active discussion, address feedback?"

Generate content FROM Loom:

Customer feedback video analyzed
- → Extract pain points and feature requests
- → Create User Feedback entries
- → Link to video timestamp
- → Cluster with similar feedback
- → Post summary to #product
Product walkthrough recorded
- → Transcribe video
- → Generate step-by-step user guide
- → Draft Confluence page with screenshots
- → Post for review
- → "User guide created from onboarding video"

Generate insights FROM Loom:

Weekly video engagement
- → Track most-viewed videos, completion rates, comment activity
- → Post to #team-updates
- → "Top 3 videos this week: Feature X demo (42 views), Bug report (18 views), Q4 roadmap (35 views)"

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