Getting Started with Scoop for Slack
Installation
For Administrators
-
Access Scoop Admin Panel
- Log into your Scoop Analytics account
- Navigate to Integrations → Slack
-
Click "Add to Slack"
![Screenshot: Add to Slack button in Scoop admin panel]
-
Authorize Permissions
- Review the requested permissions
- Select your Slack workspace
- Click "Allow" ![Screenshot: Slack OAuth permission screen]
-
Configure Workspace Mapping
- Scoop will automatically map your Slack workspace to your Scoop organization
- Verify the correct datasets are available
For Users
Once your admin has installed Scoop, you're ready to go! No individual setup required.
First Steps
1. Find Scoop in Your Workspace
Scoop appears as a bot in your workspace. You can:
- Message
@Scoop
in any channel - Send a direct message to Scoop
- Visit the Scoop App Home
![Screenshot: Scoop bot in Slack workspace member list]
2. Open App Home
Click on Scoop in your workspace members list, then click "Home" tab.
![Screenshot: Scoop App Home showing welcome message and dataset options]
The App Home provides:
- Quick access to datasets
- Upload functionality
- Getting started guides
- Current session status
3. Select Your First Dataset
Before analyzing data, you need to select a dataset:
In a channel:
@Scoop dataset
In a direct message:
dataset
![Screenshot: Dataset selection dropdown in Slack]
4. Ask Your First Question
Once you've selected a dataset, try these sample queries:
@Scoop show me all the data
@Scoop what are the top 10 records?
@Scoop create a chart of revenue by month
@Scoop what patterns do you see in this data?
Understanding Responses
Private vs. Public Messages
- In channels: Responses are private (ephemeral) by default
- Share button: Makes your insight visible to everyone
- Direct messages: All responses are visible in the DM thread
![Screenshot: Private Scoop response with "Share with Channel" button]
Response Types
Scoop provides different types of responses:
- Tables: Formatted data results
- Visualizations: Charts and graphs
- ML Insights: Pattern discoveries and predictions
- Text Summaries: AI-generated explanations
Next Steps
Updated 2 days ago