Qualify60-90 Days

Global Cost Optimization Framework (Amended)

ID: 2879015-20

Potential Value

$1

Deal Value

$1

Stated Probability

50%

Days in Pipeline

952

Client & Account

Client

Crossroads Research Dynamics

City

Denver

Region

USLI

Sub-Sector

SLED

Service Classification

Service Line

Tax

Field of Play

Tax

Opportunity Sub-SL

Indirect

Competency

Indirect Tax - Core

Global Service Code

Public Sector Advisory (76082)

People & Dates

Partner

Fischer Olivier

Pursuit Leader

Campbell Joshua

Open Date

Oct 4, 2023

Anticipated Win Date

Jul 6, 2026

Close Date

N/A

Details

Description

Global Cost Optimization Framework (Amended)

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

57.0%

Expected Value (EV = P(Pursue) × P(Win) × Value)

$0

Key Triage Drivers

Work type
+0.644
Opportunity business unit
+0.587
Deal size vs service line median
-0.311

Win Probability Models

P(Pursue)

57.0%

Model A: Planning

40.7%

Model B: Early Signal

11.8%

Stated Probability

50%

Model A: Planning

Includes deal age and timeline factors. Best for active pipeline management.

Win Probability

40.7%

Key Drivers

Time in current pipeline stage
-1.415
Brand new pursuit (vs renewal)
-0.820
Lead sales credit %
-0.711

Plain English

The model a: planning estimates a moderate probability of winning (41%). Factors working against: time in current pipeline stage, brand new pursuit (vs renewal), lead sales credit %.

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

11.8%

Key Drivers

Brand new pursuit (vs renewal)
-0.636
Sub-sector track record
-0.616
Service sub-line track record
-0.578

Plain English

The model b: early signal estimates a low probability of winning (12%). Factors working against: brand new pursuit (vs renewal), sub-sector track record, service sub-line track record.