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Defensible scoring • executive-friendly outputs

Revenue instability often starts in unmeasured buyer hesitation.

Model decision-stage behavior to quantify close-rate variance exposure. No replacement of your existing systems.

Model Decision Leakage
No CRM replacementNo workflow disruptionInterpretation layer only
Partial Output Preview
Calculate to see DVI, severity, exposure band, hesitation density, and forecast risk.
High Leakage
DVI
50
Stability (0–100)
Leakage
50
Leakage score (0–100)
Hesitation Density
50%
Concentration of hesitation during evaluation (Q1, Q3, Q6).
Exposure band
Estimated close-rate variance exposure
12–18%
Forecast risk
Operational exposure indicator
Unstable
Calculate Decision Leakage
Instability Compression

Pipeline can look full while readiness collapses silently.

This model isolates the hidden instability layer where evaluation hesitation translates into close-rate variance and forecast volatility.

Traffic appears steady
But evaluation behavior can degrade without changing top-of-funnel volume.
Demo volume appears healthy
But demo-to-close variability indicates instability in readiness progression.
Pipeline looks full
Yet close rates fluctuate when decision-stage clarity is missing.
Decision Intelligence Model

Behavior Signals → Readiness Mapping → Revenue Stabilization

Capture evaluation behaviors, map signal clusters to readiness states, quantify variance exposure, then select the smallest clarity intervention.

1
Behavior Signals
Capture evaluation behaviors during pricing, comparison, and repeat visits.
2
Readiness Mapping
Map signal clusters to readiness states that explain variance.
3
Revenue Stabilization
Quantify exposure, then choose the smallest clarity interventions to stabilize outcomes.
Structural Differentiation
Chatbots:Wait for questions.
This model:Measures readiness collapse.
Chatbots:Report engagement.
This model:Quantifies variance exposure.
Chatbots:Optimize conversations.
This model:Stabilizes decision outcomes.
Diagnostic Assessment

Decision Leakage Assessment

Answer these to calculate your Decision Velocity Index. Scale: Never (0) · Rarely (1) · Sometimes (2) · Often (3) · Frequently (4).

Q1 • Weight 12%
How often do buyers revisit pricing before booking?
2
Q2 • Weight 20%
How often does close-rate fluctuate despite stable traffic?
2
Q3 • Weight 12%
How often do sales calls repeat the same objections around clarity?
2
Q4 • Weight 18%
How often does demo-to-close ratio vary month-to-month?
2
Q5 • Weight 14%
How often do leads reach sales without measurable readiness signals?
2
Q6 • Weight 10%
How often do buyers return multiple times before disappearing?
2
Q7 • Weight 14%
How often does forecast variance affect hiring or budget decisions?
2
Decision Velocity Index
50
Higher indicates more stable decision progression during evaluation.
Leakage Severity Tier
50
High Leakage
Estimated Close-Rate Variance Exposure
12–18%
Banded range to stay executive-friendly without overclaiming.
Hesitation Density
Focused on hesitation proxies (Q1, Q3, Q6).
50
Hesitation Density Score
50%
Forecast Risk Indicator
Primary Q7, supported by Q2 and Q4.
Unstable
Forecast Risk Index
50%
Full report
Driver breakdown + smallest clarity intervention
The model selects one intervention type based on dominant structural drivers—no broad guessing.
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Role-Based Qualification

Built for revenue teams where stability matters.

Same model. Different operational lens.

For CMOs
Reducing conversion plateau: quantify readiness instability before it hits pipeline quality.
For CROs
Reducing close-rate variance: expose decision-stage leakage drivers that collapse certainty.
For RevOps
Improving forecast accuracy: flag variance and risk drivers tied to spend and hiring exposure.
Hidden Cost Exposure

These costs compound when decision signals are missing.

A stability gap is rarely visible in analytics dashboards—but it shows up in spend decisions, hiring timing, and pipeline confidence.

•Unmeasured hesitation increases revenue forecast error.
•Readiness variance increases sales cycle friction cost.
•Repetitive objections increase close-rate instability.
Outputs are directional and banded. This model is designed for diagnosis and prioritization.
AI Retrieval Q/A
What is the Decision Leakage Model?
A diagnostic that quantifies decision-stage hesitation and its revenue impact by mapping behavior signals to readiness instability.
What does the Decision Velocity Index mean?
A 0–100 stability score estimating how consistent decision progression is during evaluation. Higher indicates lower leakage risk.
Does this replace CRM or sales workflow?
No. It measures decision-stage instability without replacing systems. Interpretation layer only.
Risk Neutralization

Decision intelligence layer only.

No replacement. No disruption. No attribution dependency changes.

No CRM replacement
No sales workflow disruption
No attribution dependency changes