Board/Investor Reporting for Clients
This use case shows how an accounting firm or advisor can use Model Reef to produce recurring board and investor reporting for many clients, using a repeatable structure and shared templates rather than ad hoc spreadsheets.
The idea is to let each client keep a live planning model inside Model Reef, and use that model as the engine for every board or investor pack.
When to use this pattern
Use this pattern when:
Your firm helps clients with regular board packs or investor updates.
You want consistency in what you present across clients, while allowing for customisation.
You would like to reduce manual work building decks from scratch each time.
This pattern works well when combined with the Client Forecasting Packs pattern.
Architecture overview
Step 1: Define standard pack structures
Agree a set of standard sections for:
Board packs, for example:
Executive summary.
Performance vs plan.
Cash and runway.
Major initiatives and capex.
Risk and downside view.
Decisions required.
Investor packs, for example:
Growth and unit metrics.
Margins and unit economics.
Cash runway and funding.
High level valuation view where appropriate.
Document these structures and use them as a template when designing charts and reports in Model Reef.
Step 2: Build core dashboards and reports for each client model
Within each client model, create:
One or more dashboards that reflect the agreed pack structure.
Custom reports for P&L, Balance Sheet, Cashflow and Cash Waterfall views that match board or investor preferences.
Optional scenario models (separate models) where downside or alternative strategies need to be discussed.
Use the same layout and naming patterns across clients so your team can navigate quickly.
For implementation details, see:
Build a Board Reporting Pack
Build an Investor Update Pack
Step 3: Set up Budget vs Actuals views
For each client:
Maintain a Budget or Plan model that represents approved expectations.
Maintain a Live Actuals or Latest Forecast model.
Use exports from both models to build Budget vs Actuals comparisons, focusing on:
Revenue and margin.
EBITDA or operating cashflow.
Cash and debt.
Present these comparisons in clear tables and charts.
Remember that scenarios are separate models, so treat Budget, Actuals and Forecast as distinct but related models in your process.
Step 4: Establish a quarterly or monthly reporting cadence
For each reporting cycle:
Refresh actuals in the Live Actuals model (for example using Xero or QuickBooks).
Update forward assumptions in the planning model if new information has emerged.
Regenerate all relevant charts and reports inside Model Reef.
Export charts and tables or capture screenshots into your preferred slide or document tool.
Add narrative commentary tailored to the client and audience.
Try to reuse the same report set each cycle to build familiarity with the structure.
Step 5: Manage stakeholder specific variations
Boards and investors sometimes require different levels of detail or emphasis.
To handle this efficiently:
Use shared base outputs (for example the same P&L and cash views) for both audiences.
Create separate dashboards or report configurations for board and investor variants, modifying:
Level of operational detail.
Inclusion of valuation information.
Depth of scenario discussion.
This avoids maintaining completely separate models for different audiences.
Step 6: Standardise internally across the firm
To deliver this service at scale:
Teach staff to navigate Model Reef models using common conventions.
Maintain a library of favourite charts and report configurations that can be copied between client models.
Use your GitBook site to document the standard board and investor pack structures, with references to the underlying guides.
Over time you can refine these standards as you learn what works best with your client base.
Check your work
Each client that uses this service has a clean, up to date Model Reef model.
Board and investor packs are grounded in the same numbers used for internal planning.
The process for each cycle is clear, repeatable and time bounded.
Your team can move between clients without having to relearn entirely new structures.
Troubleshooting
Related guides
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