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{
"id": "FEAT-0006",
"name": "Revenue Forecasting Dashboard",
"description": "Analytics dashboard for revenue forecasting based on pipeline data and historical close rates.",
"moduleId": "MOD-0003",
"status": "ready",
"prd": {
"problemStatement": "Sales leadership lacks accurate revenue forecasting tools, relying on manual spreadsheet calculations that are time-consuming, error-prone, and provide limited insight into forecast reliability and trends.",
"goals": [
"Automate revenue forecast calculations based on pipeline data",
"Provide confidence levels for forecasts",
"Enable scenario planning and what-if analysis",
"Track forecast accuracy over time"
],
"successMetrics": [
{
"metric": "Forecast generation time",
"target": "Reduce from 4 hours to real-time"
},
{
"metric": "Forecast accuracy improvement",
"target": "Improve accuracy by 25% within 6 months"
},
{
"metric": "Leadership adoption",
"target": "100% of sales leadership using dashboard weekly"
}
],
"scope": {
"inScope": [
"Weighted pipeline forecast by stage probability",
"Historical close rate analysis",
"Forecast by time period (monthly, quarterly, annual)",
"Trend visualization and reporting",
"Forecast vs actual tracking"
],
"outOfScope": [
"Machine learning forecast models (spike required first)",
"External market data integration",
"Automated rep quota allocation"
]
},
"userStories": [
"As a VP of Sales, I want to see real-time revenue forecasts so that I can make informed business decisions",
"As a sales operations analyst, I want to track forecast accuracy so that I can improve our forecasting methodology"
],
"dependencies": [
"Deal pipeline feature must be complete",
"Historical sales data must be imported",
"Analytics platform must be operational"
]
},
"issues": ["STORY-0008", "SPIKE-0002"],
"owner": "Robert Kim",
"priority": "high",
"metadata": {
"createdAt": "2025-02-25T09:30:00Z",
"updatedAt": "2025-03-01T11:00:00Z",
"createdBy": "robert.kim",
"tags": ["deals", "forecasting", "analytics", "revenue"]
}
}