Pursue30-60 Days

Predictive Cost Optimization Pilot (Revised)

ID: 3468683-40

Potential Value

$1

Deal Value

$0

Stated Probability

20%

Days in Pipeline

513

Client & Account

Client

Quantum Digital Foundation

City

Philadelphia

Region

USLI

Sub-Sector

FED

Service Classification

Service Line

Consulting

Field of Play

Finance

Opportunity Sub-SL

Finance´

Competency

Business Planning, Reporting & Analytics

Global Service Code

Internal Controls - Management (52177)

People & Dates

Partner

Hall Justin

Pursuit Leader

Ruiz Samuel

Open Date

Dec 16, 2024

Anticipated Win Date

May 30, 2026

Close Date

N/A

Details

Description

Predictive Cost Optimization Pilot (Revised)

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

16.9%

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

$0

Key Triage Drivers

Service sub-line track record
-0.566
Work type
+0.510
Deal size vs service line median
-0.371

Win Probability Models

P(Pursue)

16.9%

Model A: Planning

27.0%

Model B: Early Signal

15.5%

Stated Probability

20%

Model A: Planning

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

Win Probability

27.0%

Key Drivers

Time in current pipeline stage
-1.609
Brand new pursuit (vs renewal)
-1.013
Lead sales credit %
-0.645

Plain English

The model a: planning estimates a low probability of winning (27%). 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

15.5%

Key Drivers

Brand new pursuit (vs renewal)
-0.605
Service sub-line track record
-0.543
Currency (USD vs other)
-0.393

Plain English

The model b: early signal estimates a low probability of winning (16%). Factors working against: brand new pursuit (vs renewal), service sub-line track record, currency (usd vs other).