<\!DOCTYPE html> KCENAV Proprietary Frameworks — Scoring Methodologies for Mid-Market Companies <\!-- Open Graph --> <\!-- Fonts --> <\!-- JSON-LD: WebPage --> <\!-- HERO -->
Proprietary Methodology

Six Frameworks for Analytical Clarity at the Mid-Market

KCENAV scoring methodologies give founders and operators the same diagnostic precision that major consulting firms reserve for their largest clients — purpose-built for companies doing $2M–$300M in revenue.

Last updated: April 1, 2026  ·  Developed by Matthew Van Eck & Jennifer Barnes

<\!-- INTRO -->

Deterministic Scores. Peer Benchmarks. No Black Boxes.

KCENAV uses six proprietary scoring frameworks to give mid-market founders and operators the same analytical clarity that major consulting firms reserve for Fortune 500 clients. Each framework produces a deterministic composite score from 0–100, with peer benchmarks drawn from our assessment database.

Deterministic means the same inputs always produce the same output. There is no AI generating estimates, no consultant subjectivity, and no opaque weighting. Every question in every framework has a predetermined score value. You can reconstruct your score from the answer key. This is by design: strategic decisions should rest on traceable methodology, not on a model's confidence interval.

Peer benchmarks are derived from assessments across industries in the $2M–$300M revenue band. When we report that the median HALO Score is 52 or that companies scoring above 70 on Market Position typically command 1.5–2x higher EBITDA multiples, those figures come from our data, not from generic consulting surveys of Fortune 500 firms.

<\!-- FRAMEWORKS GRID -->

The Complete KCENAV Scoring Suite

Each framework addresses a distinct dimension of strategic business quality.

<\!-- 1. HALO Index -->
1
HALO Index
High Assets · Low Obsolescence

Overall business health across four strategic dimensions: asset quality, disruption resilience, growth capacity, and exit readiness. The foundational KCENAV score — start here.

High Assets 30% Low Obsolescence 25% Growth Readiness 25% Exit Readiness 20%
View Framework
<\!-- 2. Market Position Score -->
2
Market Position Score
Competitive Standing

Competitive standing and defensibility within your target market. Measures where you stand today relative to peers — critical for fundraising narratives and M&A positioning.

Market Share 25% Differentiation 30% Pricing Power 25% Customer Loyalty 20%
View Framework
<\!-- 3. MOAT Strength Score -->
3
MOAT Strength Score
Durability of Advantage

Durability of competitive advantage over a 5–10 year horizon. Evaluates five MOAT types adapted for mid-market companies: network effects, switching costs, cost advantages, intangibles, and efficient scale.

Switching Costs 25% Network Effects 20% Cost Advantages 20% Intangibles 20% Efficient Scale 15%
View Framework
<\!-- 4. Founder Effectiveness Score -->
4
Founder Effectiveness Score
Leadership Quality

Measures whether the leadership team is an asset or a constraint on business growth. Evaluates strategic clarity, execution velocity, team-building, and founder-market fit.

Strategic Clarity Execution Velocity Team Building Founder-Market Fit
View Framework
<\!-- 5. AI Readiness Index -->
5
AI Readiness Index
Automation Capacity

Assesses whether your business is positioned to capture value from AI automation or at risk of being disrupted by it. Evaluates data infrastructure, process documentation, and team capability.

Data Readiness Process Maturity Team Capability Adoption Culture
View Framework
<\!-- 6. Partner Fit Score -->
6
Partner Fit Score
Strategic Alignment

Evaluates alignment between your company and a potential partner, acquirer, or investor. Measures strategic alignment, cultural compatibility, operational integration risk, and deal structure fit.

Strategic Alignment Cultural Fit Integration Risk Deal Fit
View Framework
<\!-- WHY SECTION -->

Original Methodology. Built for $2M–$300M.

The frameworks in the KCENAV suite are original scoring methodologies created by Matthew Van Eck and Jennifer Barnes. You will not find them in any existing consulting framework, business school curriculum, or off-the-shelf assessment tool.

They were designed specifically for the mid-market — companies that are too large for startup heuristics and too small to afford the full engagement fees of a major consulting firm. Every weighting decision, every question, every benchmark reflects the operating reality of businesses in the $2M–$300M revenue band.

Deterministic, Not Probabilistic

Every answer maps to a fixed score value. Same inputs always produce the same output. No AI estimates, no consultant subjectivity.

Mid-Market Benchmarks

Scores are benchmarked against our assessment database of mid-market companies — not Fortune 500 surveys or startup accelerator data.

Actionable by Design

Each framework surfaces the specific lever with the highest impact on score improvement — so you know exactly where to focus next.

Consulting-Grade Rigor

Developed by an ex-McKinsey Director and a $0→$50M operator. The analytical standards are institutional; the language is built for founders.

<\!-- AUTHORS -->

Framework Authors

Matthew Van Eck
Co-Founder & Strategic Navigator

CTO/GISP who built a geospatial firm from $0 to $50M and achieved a successful exit. Matthew Van Eck contributed the operational and technology dimensions of each framework — particularly the MOAT Strength, AI Readiness, and exit-readiness pillars — grounded in what actually matters when buyers perform diligence.

Jennifer Barnes
Co-Founder

MBA Stanford, ex-McKinsey Director with 15+ years scaling high-growth businesses. Jennifer designed the scoring architectures and pillar weightings for the KCENAV framework suite, drawing on her experience advising companies across growth, M&A, and operational transformation engagements.

<\!-- CTA -->

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