Core Concepts Overview

This article gives you a mental model for how Model Reef is structured and how the main pieces fit together.

You will learn about:

  • Workspaces and models.

  • Branches and how they represent your business.

  • Variables and drivers.

  • The Data Library.

  • Timing and statements.

  • Scenarios and comparisons.

Once you understand these concepts, the rest of the documentation will make more sense.

1

Workspaces and models

Workspace

A workspace is a container that holds many models. It is mainly about organisation and collaboration, not accounting logic.

You might use workspaces to separate:

  • Client groups or legal groups.

  • Internal teams.

  • Business units.

  • Personal sandboxes.

Permissions can be set at model level within a workspace.

Model

A model is the core computational object in Model Reef. Each model has:

  • Its own start date and end date.

  • A single base frequency, for example monthly or weekly.

  • A single currency.

  • Its own branch tree, variables, drivers and Data Library entries.

  • Its own dashboards, reports and valuation outputs.

You can think of a model as the equivalent of a complete Excel workbook for one business, but with stricter structure and shared rules.

2

Branches — how the business is structured

Inside each model you create branches. Branches represent logical parts of the business, such as:

  • Legal entities.

  • Divisions.

  • Stores, venues or sites.

  • Projects, contracts or funds.

  • Countries or regions.

Branches form a tree:

  • A root branch for the whole model.

  • Parent branches that aggregate.

  • Child branches that hold local detail.

Variables live inside branches. When you add a variable to a branch, its P&L, Balance Sheet and Cashflow impact:

  • Shows up in that branch.

  • Rolls up into all parent branches.

  • Is excluded from unrelated branches.

You can toggle branches on and off to see the impact of including or excluding parts of the business in consolidated views.

3

Variables — the building blocks of the model

A variable is an atomic modelling object. Examples include:

  • Revenue - Subscription - UK.

  • COGS - Hosting Costs.

  • Opex - Marketing - Paid Search.

  • Staff - Engineering Salaries.

  • Asset - Plant and Equipment.

  • Liability - Term Loan.

  • Tax Expense.

  • Dividends Paid.

Each variable has:

  • A type that drives financial behaviour (Revenue, COGS, Opex, Staff, Tax, Asset, Liability, Equity, Dividend).

  • A time series of values over the model horizon.

  • Timing rules for when it occurs and when cash moves.

  • Category and sub category for reporting.

  • An associated branch where it lives.

  • Optional drivers or formulas that generate its values.

Variables do not contain their own P&L or Balance Sheet formulas. The engine knows what to do based on the type and timing you assign.

4

Drivers — reusable assumptions

A driver is a reusable time series that variables can reference.

Common driver types include:

  • Volumes (units sold, hours, headcount).

  • Prices (price per user, rate per hour).

  • Growth rates and multipliers.

  • Seasonality indices.

  • FX rates and macro indices.

  • Any other series that you want to reuse across variables.

Drivers live in the Data Library and can be used in many places, for example:

  • Revenue = Volume driver × Price driver.

  • Staff cost = Headcount driver × Salary driver.

  • Cost index = Base cost × Inflation driver.

Updating a driver flows automatically through every variable and chart that uses it, in that model.

5

The Data Library — central assumptions and imports

The Data Library is the central store of time series in a model. It holds:

  • Imported historical series from PDF, Excel, CSV, Xero, QuickBooks or external APIs.

  • Manually created drivers for volumes, prices and growth.

  • Machine learning or regression based forecasts.

  • Shared assumptions such as wage inflation, FX or discount rates.

When you import data, Model Reef:

  • Detects series.

  • Adds them to the Data Library.

  • Creates variables that reference them.

When you edit a Data Library series, every dependent variable in that model updates.

Each model has its own Data Library. Models do not share Data Library entries by default.

6

Timing — when things happen in the model

Timing is a first class concept in Model Reef. Every variable has:

  • Occurrence timing - when the revenue or cost is recognised in P&L.

  • Cash timing - when the cash actually moves.

  • Delay or payment terms - for example 30 days, 60 days, end of next month.

  • Start and end dates for when the variable is active.

  • Frequency or schedule - such as monthly, quarterly or specific dates.

The engine then:

  • Records the amount in P&L when it occurs.

  • Creates receivables or payables on the Balance Sheet until cash moves.

  • Books the cashflow in the period the delay expires or the schedule says to pay.

Getting timing and delays right is essential for any cash focussed use case.

7

Statements and reports

Model Reef automatically generates four core statements from variables:

  • Profit and Loss - accrual view of performance.

  • Balance Sheet - assets, liabilities and equity, including AR, AP, loans and cash.

  • Cashflow Statement - direct method cash view, split into operating, investing and financing.

  • Cashflow Waterfall - a combined view that bridges from EBITDA down to free cashflow and financing flows.

In addition you can build:

  • Custom reports with any mix of lines, charts and KPIs.

  • Board, lender, investor or management packs reusing the same data.

You do not edit these statements directly. You edit the underlying variables and drivers instead.

8

Scenarios — different versions of the future

In Model Reef, a scenario is implemented as a separate model that you treat as a scenario for comparison.

Typical pattern:

  • Start with a Base Case model.

  • Duplicate it to create Downside Case and Upside Case.

  • Change assumptions independently in each copy.

  • Compare outputs across models using shared templates or external rollups.

Because each scenario is a complete model:

  • There is no risk of cross scenario contamination.

  • You can archive or branch scenarios without breaking the base.

  • You can give different people access to different scenarios if needed.

9

Putting it together

You can summarise the core concepts like this:

  • A workspace contains many models.

  • Each model has a branch tree, Data Library, variables, drivers and statements.

  • Variables live in branches and use drivers from the Data Library.

  • The timing engine turns variables into P&L, Balance Sheet, Cashflow and Waterfall.

  • Scenarios are separate models that you use for comparison.

  • Dashboards and reports sit on top and make the outputs easy to read.

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