Objective
Build a board-ready forecast based on deal health data, not gut feel. Review win/loss patterns from the week and calibrate your pipeline.
Outcome
An accurate forecast with evidence behind every number. No surprises in pipeline review.
When
Friday 3:00 PM
Duration
20 min
Steps
3
Prompts
3
Generate your forecast
2 minThe AI calculates forecast tiers based on deal health scores, stage conversion rates, and historical patterns. Every number is backed by specific deals.
Prompt
Generate my board-ready forecast. Show commit, best case, pipeline, and worst case with the deals behind each number.
Expected result
Forecast table: Commit (90%+ confidence), Best Case (60%+), Pipeline (30%+), Worst Case (floor). Each tier shows contributing deals.
Review the week's wins and losses
3 minWin/loss analysis reveals what's working and what isn't. The AI tracks stage changes and closed-lost deals from the past 7 days.
Prompt
What deals moved forward this week and what deals did I lose? What patterns do you see?
Expected result
Deals that advanced, deals that stalled or were lost, and patterns in what differentiated the two.
Identify next week's critical actions
2 minStrategic planning for next week based on pipeline data. The AI identifies the moves that will most impact your number.
Prompt
Looking at my pipeline and forecast, what are the 5 highest-impact actions I should take next week? Be specific — which deals, which people, which actions.
Expected result
5 specific actions with deal context, person names, and recommended approach.