Sales Forecasting Accuracy Framework

Design a sales forecasting framework for [Company] with [Average Deal Size] and [Sales Cycle Length]. Include: 1) Forecasting methodology comparison — commit-based, stage-weighted, AI/ML-based, blended approach. Recommend the best fit. 2) Deal stage definitions — precise entry/exit criteria for each pipeline stage with required evidence (not just rep judgment). 3) Stage-weighted model — conversion rates between stages, historical win rates by segment, weighted pipeline calculation. 4) Commit categories — define 'Commit' (95%+), 'Best Case' (60-80%), 'Pipeline' (20-40%), 'Upside' (<20%) with specific qualification criteria for each. 5) Forecasting cadence — weekly call structure, monthly roll-up, quarterly board reporting format. 6) Accuracy measurement — forecast vs actual tracking, individual rep accuracy scoring, bias detection (sandbagging vs happy ears). 7) Red flag detection — signals that a deal is at risk, automated alerts, intervention playbook. 8) Technology stack — CRM configuration, forecasting tool recommendations, dashboard design. 9) Accountability framework — consequences of consistent over/under forecasting.