Per-App Search: Google Drive & Slack
Facets for owner, type, channel, and time
You'll be able to
- Scope a query to Drive or Slack with the app: filter
- Stack owner, type, channel, and time facets to pin a result fast
Read first
Day 2 Lab
- Run
app:driveplus one keyword. Note the result count. - Add
owner:to scope to one person, thentype:to one file kind. - Switch to
app:slackand scope withchannel:and anafter:date. - Compare how many facets each app exposes and which cut the most.
Working Example: Drive and Slack Facets
Each connected app exposes its own facets; app: selects the app, and the facets that follow speak that app's vocabulary. Verified against datasource_filters.
app:drive owner:@maya type:spreadsheet budget
โ only Maya's spreadsheets that mention budget โ not her docs or slides
app:slack channel:#launch after:2026-06-01 rollback
โ only #launch messages about rollback since June 1 โ not the whole channel
Drive thinks in owner + file type; Slack thinks in channel + time.
Pick the facet the app indexes best, and one line pins the result.
In a busy Slack channel, channel: plus a time facet cuts fastest because Slack indexes messages by channel and timestamp โ that is the axis with the most signal. Verified against datasource_filters.
Check for understanding
Which facet narrows a busy Slack channel fastest โ and why?
Check yourself
1. What does a built-in Glean Skill bundle together?
2. In a busy Slack channel, which facet pair pins a message fastest?
3. What does `app:jira project:ATLAS priority:high assignee:@raj` return?
4. Why does a Confluence `label:` facet help you find the canonical page?
5. Which Salesforce facets together build a 'large deals closing this quarter' shortlist?
In 10 seconds
โScope to one app, then stack facets. app:drive owner:@maya type:spreadsheet finds her sheet; app:slack channel:#launch after:2026-06-01 cuts the channel to last month. The app sets the vocabulary.โ
Per-App Search: Jira