Overview

Early-stage NTBF screening becomes clearer when the venture, business plan, transaction-relation maturity, five-year survival, and future growth are treated as separate objects. This chapter maps the signal-to-outcome arrangement and the unobserved middle—resource quality, economics, timing, competition, decisions, and changing relationships. It also defines a fair comparison through the sample-mean baseline, non-expert benchmark, classification metric, and validation, showing why a local predictive association in the focal 272-venture sample is not a causal or winner claim.

Learning outcomes

A business plan is an information surface, not the venture itself or a neutral database.
Transaction maturity may signal adaptive capacity, but the causal middle between the signal and survival remains unobserved.
A fair screen compares the same outcome against an agnostic baseline and specified human benchmark using explicit validation.

Keywords

NTBFScreeningSignalSurvivalCausationValidation

The Mental Model: Signal, Outcome, and the Missing Middle

This checkpoint connects the ideas needed to judge early-stage NTBF screening without collapsing them into one promise. The venture is the subject; its business plan is the information surface; transaction-relation maturity is a coded signal; five-year survival is the measured outcome; and future growth remains a separate question. Keeping those objects apart gives the reader a practical test: does the signal add information about survival, and what remains unknown between the signal and the outcome?

The temptation in a prediction story is to draw one smooth arrow from an impressive feature to a desirable result. Customer relationships look promising, so they become “traction.” Traction becomes “capability.” Capability becomes “survival,” and survival quietly becomes “winning.” The evidence does not justify that chain as a single fact. It supports a narrower structure with a missing middle: observable relations may reflect adaptive capacity and may be associated with later survival, but the internal mechanisms and future performance are not fully observed.

Four objects, not one score

Start with the venture. An early-stage new technology-based firm is a project or organization trying to turn an innovation into a continuing business. It may be seeking public support, angel investment, venture capital, or other resources. Its eventual objective can vary: remaining a viable livelihood, growing employment, commercializing technology, or creating an investor return. The focal research uses survival as a common minimum because those objectives are otherwise difficult to compare across heterogeneous ventures.

Next comes the business plan. It is not the venture itself, and it is not a neutral database. It is a written account prepared for communication and often persuasion. It can contain evidence of relationships already built, but it can also contain intentions, forecasts, selective emphasis, and claims that require verification. Both human readers and objective coding operate on this same surface. If the text is strategically optimistic, a reader’s intuition and a text-derived measure can be exposed to related distortions.

The third object is transaction-relation maturity. The measure compresses descriptions of customers, financiers, partners, and human resources into stages. It is an observable feature of the plan that may tell us something about how the venture is interacting with its environment. It is not a direct observation of dynamic capability, because capability is the venture’s underlying capacity to create, extend, or modify resources as conditions change. The relation is a trace or intermediate outcome through which that capacity may become visible.

The fourth object is the outcome. In the focal comparison, survival five years after the plan’s submission is the result being predicted. The study classifies a venture as surviving when it is still operating without signs of insolvency and is registered in the trade register or has made a successful exit. That definition is meaningful for continuity, but it does not measure profit, scale, market leadership, or the return earned by a particular investor.

The relationship among these objects is therefore best read as a testable arrangement, not as a declaration that one causes the next:

erDiagram VENTURE ||--|| BUSINESS_PLAN : described_by BUSINESS_PLAN ||--|| RELATION_MATURITY : coded_as_proxy RELATION_MATURITY ||--|| SURVIVAL_AT_FIVE_YEARS : tested_against_not_equal VENTURE ||--o| GROWTH_OR_WINNER_STATUS : may_later_have RELATION_MATURITY ||--|| PROXY_OUTCOME_BOUNDARY : remains_indirect PROXY_OUTCOME_BOUNDARY ||--|| SURVIVAL_AT_FIVE_YEARS : does_not_prove_cause

The diagram’s awkward-looking boundary is the point.

Published by DeepMox

FAQ

What is the missing middle in a venture survival model?

It is the unobserved mechanisms and conditions between coded relation maturity and later survival, including resource quality, product economics, timing, competition, decisions, and changing relationships.

What is the sample-mean baseline?

It predicts the sample’s majority outcome for every venture, ignoring the individual business plan; in the focal sample, 165 of 272 survived, so the baseline accuracy was 60.66%.

Why does cross-validation matter in this comparison?

It tests whether a rule remains useful on held-out plans rather than only fitting the observed sample. This makes overfitting visible, though it does not prove causation or generalization to every ecosystem.

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NTBF Screening and the Missing Causal Middle

The Mental Model: Signal, Outcome, and the Missing Middle

Four objects, not one score

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