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adrianliechti
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forecast

Calculate weighted forecasts and gap-to-quota analysis from pipeline data.

4|4|Updated Dec 15, 2024
Search Tags:#analysis#sales#crm#pipeline#quota#forecast
One-click install
npx skills add https://github.com/adrianliechti/wingman-chat --skill forecast-adrianliechti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: forecast
Source: https://github.com/adrianliechti/wingman-chat/tree/main/skills/sales/forecast
Command: npx skills add https://github.com/adrianliechti/wingman-chat --skill forecast-adrianliechti

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Skill helps sales teams produce accurate, scenario-based forecasts to plan quarters and close gaps.

Core Features & Use Cases

  • Upload CSV exports or paste pipeline data to generate a weighted forecast
  • Set quota and period to compute gap to quota
  • See best/likely/worst case projections and risk analysis
  • Get commit vs upside recommendations and pipeline coverage insights
  • Optional integration with CRM data to automatically pull pipeline and historical win rates

Quick Start

Upload your pipeline data, set your quarterly quota and end date, and generate the weighted forecast.

Frequently Asked Questions about forecast

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate a weighted sales forecast from my pipeline data?▼

Generate a weighted forecast and gap-to-quota analysis by applying your pipeline dataset and quarterly quota. The output includes closed-to-date amounts, open pipeline value, stage-by-stage breakdowns, and commit versus upside recommendations.

Can I use CRM data for quarterly pipeline scenario planning?▼

Yes, CRM data supports quarterly pipeline scenario planning by automatically pulling pipeline datasets and historical win rates. This CRM-connected workflow produces structured outputs including risk flags and actionable pipeline coverage recommendations.

What is the best way to analyze gap to quota for open pipeline deals?▼

Analyze gap to quota by comparing closed-to-date revenue against your quarterly target. The system evaluates open pipeline deals to produce a stage-by-stage breakdown, identifying pipeline coverage gaps and generating actionable commit recommendations.

Does this pipeline coverage analysis require a specific CRM to work?▼

No specific CRM is required to run pipeline coverage analysis. You can upload CSV exports or paste standalone pipeline data to generate weighted forecasts, while optional CRM connections allow automatic pipeline and historical win rate data retrieval.

How do commit versus upside recommendations work in sales forecasting?▼

Commit versus upside recommendations categorize pipeline deals into secured revenue and potential upside. The system evaluates stage-by-stage breakdowns and risk flags to output separate commit and upside tables, guiding commit decisions and scenario planning.

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