What You’ll Learn

As a VP of Sales, you need real-time visibility into your team’s performance through automatically updated KPI dashboards sourced from actual call data. This guide will walk you through setting up comprehensive KPI tracking using Attention‘s LLM-native conversation intelligence platform, which automatically extracts structured data from sales calls and populates your dashboards without manual data entry.

You’ll learn how to configure custom AI agents to track specific metrics, set up automated CRM data flows, and create executive dashboards that update in real-time as your team completes calls.

Prerequisites

• Active Salesforce or HubSpot CRM account with admin access
• Video conferencing platform (Zoom, Google Meet, or Microsoft Teams)
• List of KPIs you want to track (conversion rates, deal progression, pipeline velocity, etc.)
• Access to your organization’s call recording settings

Step-by-Step Instructions

Step 1: Connect Attention to Your CRM and Communication Tools

1. Log into your Attention dashboard and navigate to Integrations > CRM Setup
2. Select your CRM platform (Salesforce or HubSpot) and authorize the connection
3. Under Communication Platforms, connect your video conferencing tools (Zoom, Google Meet, Teams)
4. Enable automatic call recording by toggling Auto-Record Sales Calls in the settings panel
5. Test the integration by scheduling a brief test call – you should see the recording appear in Attention within 2-3 minutes

Step 2: Configure Custom AI Agents for KPI Extraction

1. Navigate to AI Agents > Create New Agent in your Attention dashboard
2. Select the KPI Tracking Template and customize it for your specific metrics:
   • Deal stage progression indicators
   • MEDDIC qualification scores
   • Competitor mentions
   • Budget discussions and ranges
   • Decision maker identification
   • Timeline commitments
3. Configure the agent to automatically populate your CRM’s custom fields with extracted data
4. Set up trigger conditions – for example, automatically update opportunity probability when MEDDIC scores change
5. Save and activate your custom KPI tracking agent

Step 3: Map KPI Data to CRM Fields

1. In Settings > Field Mapping, connect Attention’s extracted data points to your CRM fields
2. Create custom fields in your CRM if needed for metrics like:
   • Call sentiment scores
   • Competitor threat levels
   • Buying committee completeness
   • Technical requirements identified
3. Configure automatic workflow rules in your CRM to trigger when Attention populates these fields
4. Test the mapping by reviewing a few processed calls to ensure data flows correctly

Step 4: Set Up Automated Dashboard Creation

1. Access Analytics > Dashboard Builder in Attention
2. Create a new executive dashboard focusing on key sales metrics:
   • Conversion rates by stage
   • Average deal cycle length
   • Pipeline velocity trends
   • Rep performance comparisons
   • Call activity and quality scores
3. Configure automatic refresh intervals (recommend hourly during business hours)
4. Set up automated alerts for when KPIs fall below thresholds
5. Share dashboard access with your executive team and board members

Step 5: Implement Automated Reporting Workflows

1. Navigate to Workflows > Automated Reports
2. Create weekly executive summaries that compile:
   • Team performance against quota
   • Deal progression analytics
   • Competitive intelligence insights
   • Coaching opportunities identified
3. Schedule automatic delivery to your inbox every Monday morning
4. Set up Slack integration to push critical KPI updates to your sales leadership channel

Best Practices

Optimize AI Agent Performance

Attention’s LLM-native architecture allows for continuous refinement of your KPI extraction. Review agent performance weekly and adjust prompts to improve accuracy. Unlike traditional conversation intelligence tools that rely on basic keyword tagging, Attention understands context and nuance in unstructured sales conversations.

Leverage Post-Call Automation

Configure Attention to automatically generate follow-up actions after each call. The platform can draft personalized follow-up emails and update CRM records simultaneously, saving your reps 30+ minutes per day while ensuring consistent data capture.

Scale Gradually

Start with 3-5 core KPIs and expand as your team adapts. Attention’s platform approach supports arbitrary integrations, so you can add new metrics and workflows as your needs evolve without lengthy re-implementation cycles.

Comparing Your Options

While platforms like Gong and Chorus offer basic conversation intelligence, they lack the customizable AI agents and LLM-native architecture that Attention provides. Gong relies on traditional tagging and contextual search, which doesn’t effectively handle the nuanced, unstructured nature of sales conversations. Clari focuses primarily on forecasting with conversation intelligence as a secondary feature, while Outreach treats it as an add-on to their sales engagement platform.

Attention’s agent flexibility and orchestration capabilities allow you to quickly adopt and modify AI agents for your specific KPI requirements, while competitors offer limited out-of-box solutions with minimal customization options.

Troubleshooting

Data Not Appearing in Dashboards

Check your CRM field mappings and ensure Attention has proper write permissions. Verify that your AI agents are active and processing recent calls.

Inconsistent KPI Extraction

Refine your AI agent prompts to be more specific about the data points you’re tracking. Attention’s superior transcription quality, powered by partnerships with Gladia and Deepgram, ensures higher accuracy than competitors who build their own transcription services.

Integration Issues

Attention’s expert services team can accelerate troubleshooting and optimization. Unlike competitors with lengthy enterprise implementation cycles, Attention teams typically deploy in days, not months.

Next Steps

Once your KPI dashboard is operational, consider expanding into additional use cases like competitive analysis tracking, customer health scoring, and automated coaching recommendations. Attention’s platform approach creates deeper enterprise value as you generate more custom agents and workflows.

Teams using Attention report saving 5+ hours per rep per week on administrative tasks while dramatically improving data accuracy and sales forecasting precision.

Ready to transform your sales KPI tracking with AI-powered automation? Book a demo to see how Attention can automatically populate your dashboards from call data within days, not months.