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Scoop for Slack ยท Legacy self-service product

Using Scoop in Channels

You're viewing documentation for the legacy Scoop self-service product. For the current product, see What Is Scoop.

Collaborative Analytics in Slack Channels

Transform your team's decision-making with AI-powered insights delivered right where you work.

The Power of Channel Analytics

Scoop in channels revolutionizes team collaboration:

๐Ÿ” Privacy-First Design

  • Initial responses are private (only visible to you)
  • Iterate and refine without channel noise
  • Share when insights are ready
  • Maintain clean channel conversations

๐Ÿค Seamless Collaboration

  • Natural language queries in team context
  • One-click sharing of discoveries
  • Build on each other's insights
  • Preserve institutional knowledge

โšก Real-Time Decision Support

  • Answer questions during discussions
  • Validate assumptions instantly
  • Provide data-backed evidence
  • Accelerate consensus building

Getting Started in Channels

Adding Scoop to Your Channel

Option 1: Direct Invite

/invite @Scoop

Option 2: First Mention

  • Simply @mention Scoop in any message
  • Slack prompts to add Scoop if not present
  • Click "Invite Them" to proceed

Your First Channel Query

Just @mention Scoop with natural language:

@Scoop what were our top performing products last month?
@Scoop compare this quarter's pipeline to last quarter
@Scoop show me customer satisfaction trends with confidence levels

![Screenshot: User mentioning @Scoop in a channel with a query]

Understanding Private Responses

Why Private by Default?

Scoop's ephemeral responses protect your workflow:

๐Ÿ” Exploration Freedom

  • Test queries without team visibility
  • Refine questions iteratively
  • Fix typos or clarify intent
  • Build confidence before sharing

๐ŸŽฏ Channel Hygiene

  • Avoid cluttering team discussions
  • Keep channels focused on decisions
  • Reduce notification fatigue
  • Maintain signal-to-noise ratio

Private Response Indicators

(Only visible to you)
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
๐Ÿ“Š Revenue Analysis for Q4

Total Revenue: $2.4M (+18% QoQ)
Top Segment: Enterprise (62%)
Growth Driver: New Logo acquisition

[๐Ÿ“ข Share with Channel] [๐Ÿ’ฌ Continue in DM]

![Screenshot: Private Scoop response showing "Only visible to you" indicator]

Smart Sharing Features

One-Click Sharing

Transform private insights into team knowledge:

  1. Review your insight - Ensure accuracy and relevance
  2. Click "๐Ÿ“ข Share with Channel" - Single action sharing
  3. Automatic formatting - Scoop optimizes for readability
  4. Full attribution - Your discovery is credited

Enhanced Shared Messages

๐Ÿ‘ค Sarah Williams discovered:
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

๐Ÿ” Query: "What's driving our APAC growth?"

๐Ÿ“ˆ Key Findings:
โ€ข Partner channel contributing 45% of growth
โ€ข Enterprise segment up 67% YoY
โ€ข New product adoption at 34%

๐Ÿ’ก Insight: Partner-driven enterprise deals in 
Singapore and Australia are primary growth engines

[๐Ÿ“Š View Details] [๐Ÿ”„ Run Similar] [๐Ÿ’ฌ Discuss]

![Screenshot: Shared Scoop insight in channel with attribution]

What Gets Shared

โœ… Always Included:

  • Complete analysis results
  • Visualizations and tables
  • AI-generated insights
  • Statistical confidence levels
  • Your name as discoverer
  • Original query for context

โŒ Never Shared:

  • Your exploration history
  • Failed query attempts
  • Private iterations
  • Sensitive filters you tested

Channel Analytics Best Practices

๐ŸŽฏ Query Strategies

1. Context-Rich Questions

@Scoop for tomorrow's pipeline review, show me deals 
stuck in negotiation for >30 days

2. Progressive Refinement

@Scoop show Q4 performance
@Scoop break that down by product line
@Scoop focus on enterprise segment only
@Scoop what's driving the growth in cloud products?

3. Hypothesis Testing

@Scoop test if longer sales cycles correlate with 
higher deal values

๐Ÿ”„ When to Switch to DM

Use the "Continue in DM" button when:

  • You need 5+ query iterations
  • Exploring sensitive scenarios
  • Building complex analyses
  • Learning Scoop's capabilities
  • Preparing detailed reports

![Screenshot: "Continue in DM" button on Scoop response]

๐Ÿ“Š Share-Worthy Insights

High-Value Shares:

  • ๐Ÿšจ Anomalies requiring attention
  • ๐Ÿ“ˆ Positive trends to celebrate
  • ๐ŸŽฏ Goal achievement updates
  • โš ๏ธ Risk indicators
  • ๐Ÿ’ก Unexpected discoveries
  • ๐Ÿ”ฎ Predictive insights

Timing Your Shares:

  • During active discussions
  • Start of team meetings
  • End of sprint reviews
  • When decisions are needed
  • To answer posted questions

Advanced Channel Features

๐Ÿ—‚๏ธ Smart Dataset Mapping

Automatic Context Detection Scoop intelligently selects datasets based on:

  • Channel name and purpose
  • Team membership patterns
  • Historical query context
  • Admin configurations

Channel-Dataset Examples:

#sales-team โ†’ CRM + Pipeline data
#marketing โ†’ Campaign + Lead data
#customer-success โ†’ Support + Usage data
#finance โ†’ Revenue + Billing data

Override When Needed:

@Scoop use marketing dataset: show me campaign ROI

๐Ÿ”” Intelligent Notifications

Notification Behaviors:

  • Shared insights notify @channel or @here based on importance
  • Thread responses for continued discussion
  • Highlight mentions in discoveries
  • Smart batching to reduce noise

๐Ÿงต Thread Intelligence

Scoop maintains context within threads:

 Original: @Scoop why did revenue drop in March?
   โ†ณ Reply: @Scoop dig deeper into the enterprise segment
   โ†ณ Reply: @Scoop compare to March last year
   โ†ณ Reply: @Scoop what actions can we take?

๐ŸŽญ Role-Based Responses

Scoop adapts communication style:

  • Executive channels: High-level summaries
  • Analyst channels: Detailed statistics
  • Sales channels: Action-oriented insights
  • Support channels: Problem-focused analysis

Collaborative Intelligence Patterns

๐Ÿข Meeting Support Workflows

Pre-Meeting Preparation

@Scoop create a dashboard for our weekly pipeline review:
- Current quarter forecast
- Deal velocity trends  
- Risk analysis
- Rep performance

Live Meeting Support

CEO: "What's our customer acquisition cost trending?"
You: @Scoop show CAC trend for last 6 months by channel

[Real-time answer appears privately]
[Share when validated]

Post-Meeting Actions

@Scoop based on our discussion, identify the top 5 
at-risk deals we need to focus on this week

๐Ÿค Cross-Functional Collaboration

Sales โ†” Marketing Alignment

#sales-marketing-sync channel:

Sales: @Scoop which marketing campaigns generate 
       highest quality leads?
       
Marketing: @Scoop show conversion rates by campaign 
           and sales rep

Product โ†” Customer Success

#product-feedback channel:

CS: @Scoop what features correlate with low NPS scores?

Product: @Scoop analyze feature requests by customer 
         segment and MRR

๐Ÿ“ˆ Performance Tracking

Daily Standups

@Scoop morning update: yesterday's metrics vs. target

Weekly Reviews

@Scoop week-over-week comparison of key KPIs with 
variance analysis

Monthly Business Reviews

@Scoop generate executive summary:
- Revenue attainment
- Growth drivers
- Risk factors
- Recommendations

Quick Reference Guide

๐Ÿ“ Essential Commands

Command Purpose Example
@Scoop help Show capabilities Get command reference
@Scoop datasets List available data See all data sources
@Scoop use [dataset] Switch dataset @Scoop use sales data
@Scoop status Current context Check active dataset
@Scoop export Download results Get Excel/CSV file

๐Ÿ’ฌ Natural Language Patterns

Comparison Queries

@Scoop compare this month to last month
@Scoop benchmark us against industry standards
@Scoop show difference between A and B

Predictive Questions

@Scoop forecast next quarter revenue
@Scoop what predicts customer churn?
@Scoop predict deal close probability

Investigative Analysis

@Scoop why did metrics drop last week?
@Scoop what's driving growth in EMEA?
@Scoop find anomalies in this month's data

Segmentation Requests

@Scoop segment customers by behavior
@Scoop group accounts by potential
@Scoop cluster similar patterns

๐ŸŽจ Visualization Options

@Scoop create a line chart of...
@Scoop show this as a pie chart
@Scoop visualize the correlation
@Scoop make a dashboard with...

โšก Power User Shortcuts

Chain Operations

@Scoop analyze sales, predict next month, and 
identify top opportunities

Conditional Analysis

@Scoop if conversion > 50%, show factors; 
else show improvement areas

Multi-Dataset Query

@Scoop correlate support tickets with renewal rates

Channel Success Stories

๐Ÿ† Real Team Wins

Sales Team Victory

"During our pipeline review, @Scoop instantly showed us 8 deals at risk we hadn't noticed. We saved $400K in potential losses."

  • Sarah, Sales Director

Marketing Breakthrough

"@Scoop revealed our webinar attendees convert 3x better than other leads. We doubled down and hit 142% of our target."

  • Mike, Marketing Manager

Support Excellence

"Using @Scoop in our support channel, we identified a pattern in tickets that led to a product fix, reducing tickets by 30%."

  • Lisa, Support Lead

Next Steps

Continue Your Journey

  1. ๐Ÿ’ฌ Master Direct Messages - Deep personal analysis
  2. ๐Ÿ“Š Explore Datasets - Data management
  3. ๐Ÿค– Unlock ML Power - Advanced analytics
  4. ๐Ÿš€ Advanced Features - Deep reasoning & automation

Pro Tips for Channel Success

  1. Start simple - Build confidence with basic queries
  2. Share wins - Celebrate insights with your team
  3. Ask why - Let Scoop's reasoning engine investigate
  4. Iterate publicly - Show others how to refine queries
  5. Build knowledge - Your shares become team resources

Transform your channel into a data-driven command center with Scoop!

Updated July 17, 2025