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:

🔐 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

🤝 Seamless Collaboration

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

⚡ 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:

🔍 Exploration Freedom

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

🎯 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)
━━━━━━━━━━━━━━━━━━━━
📊 Revenue Analysis for Q4

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

[📢 Share with Channel] [💬 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 "📢 Share with Channel" - Single action sharing
3. Automatic formatting - Scoop optimizes for readability
4. Full attribution - Your discovery is credited

Enhanced Shared Messages

👤 Sarah Williams discovered:
━━━━━━━━━━━━━━━━━━━━━━━━━━

🔍 Query: "What's driving our APAC growth?"

📈 Key Findings:
• Partner channel contributing 45% of growth
• Enterprise segment up 67% YoY
• New product adoption at 34%

💡 Insight: Partner-driven enterprise deals in 
Singapore and Australia are primary growth engines

[📊 View Details] [🔄 Run Similar] [💬 Discuss]

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

What Gets Shared

✅ Always Included:

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

❌ Never Shared:

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

Channel Analytics Best Practices

🎯 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

🔄 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]

📊 Share-Worthy Insights

High-Value Shares:

• 🚨 Anomalies requiring attention
• 📈 Positive trends to celebrate
• 🎯 Goal achievement updates
• ⚠️ Risk indicators
• 💡 Unexpected discoveries
• 🔮 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

🗂️ 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 → CRM + Pipeline data
#marketing → Campaign + Lead data
#customer-success → Support + Usage data
#finance → Revenue + Billing data

Override When Needed:

@Scoop use marketing dataset: show me campaign ROI

🔔 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

🧵 Thread Intelligence

Scoop maintains context within threads:

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

🎭 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

🏢 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

🤝 Cross-Functional Collaboration

Sales ↔ 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 ↔ Customer Success

#product-feedback channel:

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

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

📈 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

📝 Essential Commands

💬 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

🎨 Visualization Options

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

⚡ 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

🏆 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. 💬 Master Direct Messages - Deep personal analysis
2. 📊 Explore Datasets - Data management
3. 🤖 Unlock ML Power - Advanced analytics
4. 🚀 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!