Feature Overview: Forecast > Current

The Current tab of the Forecast module provides visibility into the current forecast period, showing deal progression, quota attainment tracking, and opportunity categorization. This module helps sales teams monitor their progress toward period goals and identify opportunities requiring immediate attention to meet forecast commitments.

How It Works

The system analyzes current period opportunities across multiple forecast categories displayed in tabbed views showing current, beginning, won, lost, slipped, and new opportunities, with each tab providing summary metrics and detailed opportunity tables with forecast-specific data and progression indicators. The interface organizes opportunities by their status within the forecast period through configurable forecast periods with period field controls for time range selection, supporting custom date ranges and predefined ranges (monthly, quarterly, yearly). Users can navigate between time periods using an interactive forecast calendar that visually represents the current period timeline.

The tabbed interface organizes opportunities into six distinct categories:

• Current tab: Displays opportunities still active in the forecast period with progression tracking and velocity signals.
• Beginning tab: Provides the original baseline of opportunities forecast to close for the period, enabling comparison against starting expectations.
• Won tab: Shows closed business contributing to quota attainment and accuracy trending.
• Lost tab: Contains opportunities that didn't convert during the period to flag forecast slippage.
• Slipped tab: Identifies opportunities that moved to future periods with captured reasons.
• New tab: Displays additions to the current forecast period to gauge pipeline coverage.

Each tab features opportunity tables with forecast amount displays, stage progression tracking, and close date management. The tables support column sorting and grouping, row grouping by close date with monthly, quarterly, and yearly options, and export capabilities. The system provides period-based statistics with beginning vs. current performance comparisons through an integrated forecast table component that displays summary metrics, risk analysis based on trailing win rates or forecast accuracy over 3, 6, or 12-month periods, coverage analysis comparing pipeline volume versus targets, and toggleable weighted vs unweighted views for probability-based calculations. 

Weighted forecast calculations based on deal probability and stage progression are paired with coverage analysis versus targets, allowing users to view both raw opportunity values and probability-adjusted forecasts. The system supports both standard win rate calculations and forecast accuracy modes, providing risk assessments based on historical performance data to help users understand the likelihood of achieving their forecast commitments. Integration with detailed opportunity tables provides comprehensive deal management and coaching insights through interactive charts displaying deal type, size, and cycle analysis for each tab, and visual progress indicators highlighting deals requiring attention or coaching intervention. 

Users can filter by teams, deal types, and custom criteria while maintaining focus on current period performance. The advanced search form enables precise forecast analysis through complex logical operations and saved filter sets, supporting detailed period-based collaboration, coverage checks, and coaching on forecast discipline.

Use Cases

• For Sales Representatives: Track personal quota progress, identify at-risk deals requiring attention, monitor pipeline changes within the forecast period, and focus efforts on deals most likely to close.
• For Sales Managers: Oversee team forecast accuracy, identify coaching opportunities, ensure adequate coverage for quota attainment, and make informed decisions about resource allocation and goal adjustments based on current trajectory.
• For Sales and Revenue Operations: Analyze forecast accuracy trends, identify systematic forecasting issues, optimize sales processes for better predictability, and provide recommendations for improved forecast discipline.

See It in Action

Requirements

• Proper user permissions for accessing current forecast functionality
• Configured sales process stages and deal classifications for accurate analysis
• Active forecast periods defined for meaningful period-based analysis
• Opportunity probability weighting configured for accurate weighted forecast

Integration users need the following permissions to synchronize CRM data:

• Read
  • Opportunity
  • ActivityHistory / OpportunityHistory

Highlights

• Tabbed views instantly reveal forecast accuracy patterns and deal progression
• Weighted probability calculations expose coverage gaps and at-risk commitments
• Period comparisons enable data-driven coaching on forecast discipline

Need Help?

Contact your Customer Success Manager for guidance on interpreting forecast analytics, your Customer Success Manager for technical configuration assistance, or TruSales Support if you experience any technical issues with this page.

Feature Overview: Forecast > History

The History tab of the Forecast module provides comprehensive analysis of historical forecast performance, enabling teams to understand forecast accuracy trends, identify patterns in forecasting discipline, and improve predictive capabilities through historical insights and performance benchmarking.

How It Works

The system analyzes completed forecast periods to provide historical perspective displayed through trend charts, comparative period analysis, and detailed tables showing forecast accuracy metrics across multiple completed periods with drill-down capabilities. The interface combines interactive charting with tabbed opportunity analysis through dual period selection controls: users set the overall analysis timeframe using standard period field components, while selecting analysis granularity through specialized history period field soffering weekly, monthly, 60-day, and 90-day groupings. The system defaults to analyzing the last 6 months with monthly groupings. 

The primary visualization renders an interactive stacked column chart with dual y-axes displaying historical forecast accuracy comparison across multiple completed periods through line graph overlays showing accuracy percentages, and stacked columns representing forecast outcomes including slipped, won, lost, and no decision amounts. A secondary stack shows the breakdown between won new opportunities versus won forecast opportunities. The chart supports click interactions on data points and x-axis labels to drill down into specific periods. Trend analysis showing improvement or decline in forecasting precision over time with seasonal overlays is provided through color-coded visualization elements and tooltip systems displaying period statistics including forecast amounts, accuracy percentages, and outcome breakdowns.

Period-over-period performance metrics with comparative analysis capabilities and goal attainment correlation are delivered through statistical calculations tracking forecast accuracy trends, variance analysis between predicted and actual results, and performance benchmarking across different time horizons. The system calculates total forecast amounts, accuracy percentages, average deal sizes, and outcome distributions foreach historical period. Forecast variance analysis identifying gaps between predicted and actual results is delivered through statistical comparisons between beginning and ending period states, delta calculations showing amount changes, and percentage-based accuracy measurements across deal types and sizes.

Historical opportunity categorization showing won/lost/slipped patterns across periods to highlight systemic issues is managed through a tabbed interface within the history detail component:

• Beginning tab: Displays opportunities originally forecast to close for each period providing accuracy baselines.
• Won tab: Shows successfully closed opportunities contributing to accuracy metrics.
• New tab: Contains opportunities added after period start that subsequently closed.
• Slipped tab: Tracks opportunities moved to future periods with captured delay reasons.
• Lost tab: Analyzes unconverted opportunities.
• No Decision tab: Shows opportunities closed without purchase decisions Integration with detailed historical opportunity data for root cause analysis and best-practice identification is provided through opportunity tables for each outcome category with drill-down capabilities for specific deal contribution analysis.

Sales representative and team historical performance comparison and benchmarking to guide coaching plans is supported through team-based filtering and performance trending showing forecasting discipline over time. Users can analyze historical patterns to identify seasonal trends, forecasting strengths, and improvement opportunities. The advanced search form facilitates comprehensive historical exploration using complex logical operations and saved filter sets, enabling teams to uncover predictive insights and document playbooks for future periods.

Use Cases

• For Sales Representatives: Understand personal forecasting accuracy history and improve future forecast discipline based on historical performance.
• For Sales Managers: Analyze team historical forecast performance, identify coaching opportunities for forecast discipline improvement, identify patterns in successful vs. unsuccessful predictions, access strategic insights into organizational forecast reliability, and make informed decisions about goal setting and forecasting methodologies.
• For Sales and Revenue Operations: Conduct comprehensive forecast accuracy analysis and identify systematic forecasting issues across the organization.

See It in Action

Requirements

• Proper user permissions for accessing forecast history functionality
• Historical forecast period data for meaningful trend analysis
• Configured sales process stages and deal classifications
• Completed forecast periods with sufficient historical data for comparison

Integration users need the following permissions to synchronize CRM data:

• Read
  • Opportunity
  • ActivityHistory / OpportunityHistory

Highlights

• Long-term trend charts expose seasonal swings and predictive blind spots
• Benchmarking tools compare reps and teams to shape coaching plans
• Variance analysis links market shifts to forecast misses for smarter planning

Need Help?

Contact your Customer Success Manager for guidance on interpreting historical forecast data, your Customer Success Manager for technical configuration assistance, or TruSales Support if you experience any technical issues with this page.