Pipeline Intelligence: Common Usage Scenarios

Introduction

The Pipeline Intelligence dashboard is a versatile tool that can address numerous sales leadership challenges. This guide presents real-world scenarios showing how to leverage Pipeline Intelligence to solve common problems and improve team performance.

Each scenario includes step-by-step instructions, recommended actions, and expected outcomes. These examples are designed for both sales leaders and account executives to maximize the value of Pipeline Intelligence.

Sales Leader Scenarios

Quarter-End Forecast Cleanup: Identifying at-risk deals in your commit forecast

Steps to Take:

1. Apply Strategic Filters:
   • Click "Show Filters" in the header
   • Set "Close Date Range" to the current quarter end
   • Select "Commit" and "Best Case" in Forecast Categories
   • Click "Apply Filters"
2. Sort and Identify Risk:
   • In the Risk Heatmap, click the "Risk Score" column to sort by risk (ascending)
   • Focus on red and yellow-coded opportunities in your commit category
3. Analyze Deal Details:
   • Click on each at-risk deal to view detailed risk factors
   • Pay special attention to deals with high dollar values
4. Take Immediate Action:
   • Schedule emergency deal reviews for high-value, high-risk deals
   • Consider moving at-risk deals from Commit to Best Case
   • Identify deals that need executive involvement

Expected Outcome:

• A more realistic forecast for the quarter
• Prioritized intervention for deals that can still be saved
• Better expectation management with executive leadership

Steps to Take:

1. Review Forecast Confidence by Rep:
   • In the Forecast Confidence panel, examine the "Forecast Confidence by Rep" table
   • Identify reps with low confidence scores and high pipeline values
2. Analyze Rep-Specific Patterns:
   • Filter the dashboard to a specific rep (using the Sales Rep filter)
   • Look for patterns in their risk factors (Framework Completeness, Contact Risk, etc.)
   • Review their Risk Triggers to identify recurring issues
3. Create Coaching Plans:
   • For each rep needing help, document specific coaching focus areas
   • Prepare deal-specific questions based on risk factors
   • Identify qualification framework elements that need reinforcement

Expected Outcome:

• Targeted coaching for reps who need it most
• Specific, data-driven coaching topics
• More efficient use of coaching time
• Improved qualification practices across the team

Deal Review Preparation: Identifying which deals need focus in team reviews

Steps to Take:

1. Before the Meeting:
   • Apply filters for the current and upcoming quarter
   • Sort by Risk Score (ascending) to view highest-risk deals first
   • Identify 5-7 deals to focus on based on risk level and deal size
   • For each focus deal, review specific risk factors and framework health
2. During the Meeting:
   • Display the Pipeline Intelligence dashboard for the team
   • For each focus deal, ask the rep to explain their plan for addressing risk factors
   • Discuss specific Risk Triggers that need immediate attention
   • Use the framework health scores to guide qualification discussions
3. Follow-up Actions:
   • Assign specific action items for each risk factor discussed
   • Schedule follow-up reviews for critical deals
   • Track changes in risk scores week-over-week

Expected Outcome:

• More focused, data-driven deal reviews
• Clear action items for improving deal health
• Systematic identification of deals needing attention
• Better coaching moments during the review

Steps to Take:

1. Analyze Overall Metrics:
   • Review the Overall Forecast Confidence score and trend
   • Examine the Risk % in the Total Pipeline Value section
   • Study the Pipeline by Risk Level breakdown
2. Identify Systemic Issues:
   • Select several deals across different reps and stages
   • Look for common risk factors (e.g., consistently low Framework Completeness scores)
   • Review Risk Triggers to identify recurring patterns
3. Create Improvement Plan:
   • Based on common issues, develop team-wide training or process improvements
   • Set specific goals for framework completion rates
   • Establish risk score thresholds for different forecast categories

Expected Outcome:

• Identification of systemic pipeline issues
• Data-driven training and process improvements
• Improved overall pipeline quality over time
• Better forecasting standards across the team

Account Executive Scenarios

Prioritizing Deal Work: Using risk scores to focus your daily efforts

Steps to Take:

1. Morning Review (10 minutes):
   • Apply filters for your name (Sales Rep filter)
   • First, check all High Urgency Risk Triggers
   • Then, sort the Risk Heatmap by Close Date (ascending)
   • Identify near-term deals with medium or high risk scores
2. Create Daily Action Plan:
   • For each high-priority deal, identify the specific risk factors
   • Focus on improving Framework Completeness in your commit deals
   • Schedule calls to address Contact Risk issues
   • Create tasks to update stale deals (Activity Drag)
3. Track Progress:
   • After taking actions, refresh the dashboard to see if risk scores improve
   • Track which risk triggers get resolved

Expected Outcome:

• More focused daily activities
• Improved qualification in high-priority deals
• Better time management
• Higher win rates on deals that matter most

Steps to Take:

1. Self-Assessment (30 minutes before meeting):
   • Filter the dashboard to your deals
   • Note your overall Forecast Confidence score
   • Identify your 3-5 most at-risk deals
   • For each at-risk deal, understand all risk factors
2. Prepare Specific Talking Points:
   • For each at-risk deal, document:
     1. Why the risk exists (be honest about qualification gaps)
     2. What actions you've already taken
     3. What your plan is to improve the risk score
     4. Where you specifically need help from your manager
   • Prepare questions about framework completion for deals where you're stuck
3. Plan Category Changes:
   • Identify deals where you believe the forecast category should change
   • Use the risk scores to support your reasoning

Expected Outcome:

• More productive 1:1 meetings
• Proactive management of expectations
• Specific coaching in areas where you need help
• Manager confidence in your pipeline management

Forecast Accuracy: Using risk scores to improve forecast reliability

Steps to Take:

1. Assess Current Forecast:
   • Filter to your deals in the current quarter
   • Review your overall Forecast Confidence score
   • Check the At-Risk Amount in your pipeline
2. Apply Risk-Based Guidelines:
   • Move any Commit deals with risk scores below 40 to Best Case
   • Move any Best Case deals with risk scores below 30 to Pipeline
   • Only keep deals in Commit if they have risk scores of 70+
   • For any exceptions, document specific reasons
3. Improve Deal Health:
   • For deals you want to keep in Commit or Best Case, focus on improving risk scores
   • Prioritize framework completion for these deals
   • Address specific risk triggers systematically

Expected Outcome:

• More accurate and defensible forecasts
• Better alignment between forecast categories and deal health
• Improved qualification discipline
• Higher close rates for deals in Commit category

Steps to Take:

1. Identify Stalled Deals:
   • Apply filters for your deals
   • Sort by Activity Drag (if available) or Risk Score
   • Look for deals with consistently high risk scores over 30+ days
   • Check Risk Triggers for "Stale Opportunity" flags
2. Assess Qualification:
   • For each potential qualify-out, check Framework Health scores
   • Review Contact Risk factors (missing decision makers, low engagement)
   • Consider the deal history and pattern of movement
3. Make Data-Driven Decisions:
   • For deals with multiple high-risk factors and little progress, prepare to qualify out
   • Document specific reasons based on objective risk data
   • Develop "lessons learned" from each qualified-out deal
4. Reallocate Your Time:
   • Create a plan to reinvest time saved on better-qualified opportunities
   • Update your forecast to reflect the changes

Expected Outcome:

• More efficient use of selling time
• Cleaner pipeline with higher-quality opportunities
• Improved win rates as focus shifts to better-qualified deals
• More accurate forecasting
• Better prospecting focus based on learned patterns

Putting It All Together

The Pipeline Intelligence dashboard empowers both sales leaders and account executives to make data-driven decisions about where to focus their time and attention. By regularly using these scenarios as a guide, you can:

• For Sales Leaders:
  • Deliver more accurate forecasts to executive leadership
  • Coach your team more effectively with targeted guidance
  • Identify and address systemic pipeline issues
  • Drive higher win rates through improved qualification
• For Account Executives:
  • Focus your limited time on the deals most likely to close
  • Improve your forecast accuracy and credibility
  • Prepare more effectively for manager reviews
  • Make objective decisions about qualifying out unproductive deals

Getting Help

If you need additional assistance implementing these scenarios:

• Contact your Sales Operations team for technical questions
• Discuss advanced use cases with your RevOps leader
• For more detailed guidance, see the full Pipeline Intelligence Guide
• For account executives, refer to the Pipeline Intelligence Quickstart

By incorporating these scenarios into your regular workflow, you'll be able to elevate your sales execution through data-driven decision making, targeted coaching, and proactive risk management. The Pipeline Intelligence dashboard transforms complex CRM data into actionable insights that drive better outcomes for your entire sales organization.