Multi-Phase Cost Optimization Automation (Amended)
ID: 4480911-50
Potential Value
$0
Deal Value
$0
Stated Probability
10%
Days in Pipeline
463
Service Line
SaT
Field of Play
Strategy & Transformation
Opportunity Sub-SL
Strategy and Execution
Competency
S&E - Reimagine Reshape & Grow
Global Service Code
Healthcare Strategy (58866)
Partner
Johnson Miguel
Pursuit Leader
Lee Emma
Open Date
Feb 4, 2025
Anticipated Win Date
Apr 30, 2026
Close Date
N/A
Description
Multi-Phase Cost Optimization Automation (Amended)
Triage & Expected Value
Predicts likelihood of pursuit vs. decline
P(Pursue)
72.8%
Expected Value (EV = P(Pursue) × P(Win) × Value)
$0
Key Triage Drivers
Win Probability Models
P(Pursue)
72.8%
Model A: Planning
31.9%
Model B: Early Signal
17.7%
Stated Probability
10%
Includes deal age and timeline factors. Best for active pipeline management.
Win Probability
31.9%
Key Drivers
Plain English
The model a: planning estimates a low probability of winning (32%). Factors working against: time in current pipeline stage, brand new pursuit (vs renewal), lead sales credit %.
Excludes timeline factors. Better for early-stage assessment.
Win Probability
17.7%
Key Drivers
Plain English
The model b: early signal estimates a low probability of winning (18%). Factors working against: brand new pursuit (vs renewal), service sub-line track record, sub-sector track record.