Diagnostic intelligence for Founders and Boardroom Leaders

Let the numbers state the condition of the business.

LetNumbersTalk elevates the operating figures already sitting in your ledgers into an institutional reading of enterprise condition: 54 sector-calibrated metrics, resolved through 7 independently weighted scoring engines, into pillar scores, an Integrated Business Health Score, value-chain attribution for every strained reading, and explicit terminal-risk disclosure on cash runway and revenue concentration.

Decision intelligence held to the standard a board expects — assembled in a single sitting, open to every operator, and computed end to end inside your own browser.

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Metrics
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Weighted pillars
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Industry profiles
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Figures stored
IBHS78.4MARGIN31.2%RUNWAY14 MOCONCENTRATION22%

Mandate

What the instrument delivers

Reading against a sector-calibrated corridor

A weighted diagnosis built from your operating figures

7 independent scoring engines convert your operating figures into pillar scores, then into a single Integrated Business Health Score under a fixed weighting — Financial Health 22%, Risk 20%, Market 18%, Operations 15%, Strategy 13%, Organisation 7%, Technology 5%.

Sector-calibrated benchmarking

Every threshold is re-based against 1 of 5 industry profiles. A services practice is read against services economics, and a manufacturer against manufacturing economics, so each comparison holds.

Value-chain attribution

Where a reading breaches its healthy band, the instrument names the location in the value chain, the factors that commonly contribute, and how the pattern presents in practice — diagnostic language throughout.

Terminal-risk surveillance

Cash runway and customer concentration are monitored as terminal indicators. A breach raises a distinct Caution disclosure in the integrated report, while scores generate in full alongside it.

Structure

The 7 pillars

Each pillar carries an independent scoring engine and a fixed share of the composite. Assess 1, several, or all 7 — partial coverage re-weights across exactly the metrics you supply, so every figure you enter carries its full influence.

Calibration

5 industry profiles, 1 benchmark set each

Each profile carries its own thresholds, so a reading is measured against the economics of the business you actually operate.

Method

Evidence in, weighted judgement out.

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Metrics resolved per full assessment

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Independent scoring engines

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Figures transmitted or retained

Evidence before opinion

Every input is sourced from a named artefact — Profit and Loss statement, Stripe or QuickBooks ledger, CRM pipeline, operations log — so the diagnosis rests on instrumented figures.

Diagnostic language throughout

Where a reading falls outside its healthy range, you get where in the value chain it originates, what commonly contributes, and how it presents in practice — observation stated plainly.

Everything stays in the browser

Open the instrument and begin. Every figure is held in session memory and discarded the moment the tab closes.