Project Forecast Accuracy & Early-Warning Engine

Premium

Excel + offline app that measures project forecast accuracy, exposes bias and flags cost, schedule and margin deterioration before it becomes a surprise.

$10

33% off

$15

One-time purchase · Instant download

Instant download No macros
Mac & Windows

What you receive

PMOC_Project_Forecast_Accuracy_Demo.xlsx
PMOC_Project_Forecast_Accuracy_Blank.xlsx
PMOC_Project_Forecast_Input_Template.xlsx
PMOC_Project_Forecast_Early_Warning_App.html
Quick-start guide (PDF, 7 pages)

Most portfolio reports show where projects are today. Few tell you whether the forecasts behind those numbers deserve your trust.

The Project Forecast Accuracy & Early-Warning Engine answers three questions in about ten seconds: Can we trust our forecasts? Where are they deteriorating? What requires intervention now?

It keeps two ideas strictly apart. Forecast accuracy is measured only for completed projects with real outcomes – using the forecast that existed 90, 60 or 30 days before completion, or the final pre-completion forecast – and never a forecast recorded after the outcome. Early-warning intelligence applies to active projects: cost exposure, schedule slippage, margin erosion, forecast volatility, confidence, milestone status and stale submissions, combined into a transparent Early-Warning Score that is never presented as accuracy.

You paste one row per project forecast snapshot. Everything else – KPIs, filters, trend, reliability ranking, heatmap, waterfall, prioritised warnings, recommended actions and a written insight – is calculated by visible formulas you can inspect, or by the same rules in the offline app.

Replace gut feel about forecast quality with a cost-weighted Forecast Reliability Index.
See which projects and managers forecast optimistically or pessimistically – and adjust current EACs accordingly.
Catch deteriorating projects earlier through movement, streak and volatility signals, not just point-in-time variance.
Walk into steering meetings with a ranked intervention list, owners, recommended actions and due dates.
Keep data local: no macros, no cloud upload, no login.

Excel workbook (exactly four sheets)

Dashboard: 8 formula-backed filters (reporting period with time-travel, portfolio/BU, project, region, manager, contract type, stage, forecast health), 6 gradient KPI cards with target or prior-period movement, formula-written executive insight.

Forecast vs outcome trend, forecast reliability ranking (by project or manager) with cost accuracy at 90/60/30 days and final, portfolio forecast movement waterfall, early-warning heatmap, management attention table.

Early_Warnings: six summary tiles, prioritised warning queue (severity → exposure → urgency) with current value, threshold, trend, owner, recommended action, due date and status; forecast accuracy back-test; bias by project manager.

Setup: every threshold, weight, band, rule and action text editable; KPI definitions and full methodology.

Data quality engine: duplicate snapshots, missing fields, invalid dates and out-of-range values flagged and excluded.

Pre-wired for 3,000 snapshots and 120 projects; delete, paste or append rows without touching a formula.

Offline HTML app

Load demo, upload the Excel template (.xlsx/.xls/.csv), or enter data manually.

Header mapping, import preview, row-level validation with sheet row numbers, Cancel / Confirm Import.

App-style grid: add, edit, duplicate, delete, bulk paste from Excel, search, inline validation.

Same KPIs, warnings and thresholds as Excel; project drill-down with every signal, rule, point and forecast history.

Save draft locally, clear local data, export to Excel/CSV/JSON, print to PDF. Spreadsheet library bundled – works offline.

Does it work with my own data? Yes. Paste one row per project per snapshot date into the blue columns, or upload the template to the app.
Why don't active projects get an accuracy score? Accuracy needs a real outcome. Active projects receive early-warning signals instead, so a forecast change is never mistaken for forecast accuracy.
What if a completed project has no forecast before the chosen horizon? It shows "Insufficient Data" – the tool never assumes a perfect score.
How is bias decided? Each available horizon compares forecast with actual for cost, finish and margin. At least three observations leaning one way, outnumbering the other way 2:1, marks a project Optimistic or Pessimistic; a manager's completed record then flags their active forecasts.
Are there macros? No. Every Excel result is a visible formula; the engine sits in unhideable columns on Setup.
Are the filters slicers? No – they are formula-backed dropdown cells, chosen because they behave identically on Windows and Mac Excel.
Is my data uploaded anywhere? No. The workbook is local and the app parses files inside your browser. Drafts are saved only if you choose, in that browser's local storage. Local processing does not replace your organisation's data-handling policies.
Can I change thresholds, weights and action wording? Yes – pale-blue cells on Setup, and the app's Settings page.
Do the Excel and app results match? Yes. The app uses the same rules; results were reconciled measure by measure against the workbook before release.
How many projects can it handle? 3,000 snapshot rows and 120 projects are pre-wired in the workbook; the app has no fixed limit.

PMOC_Project_Forecast_Accuracy_Demo.xlsx – fictional NorthStar Project Services sample (15 projects, 12 months, 159 snapshots)
PMOC_Project_Forecast_Accuracy_Blank.xlsx – same engine, ready for your data
PMOC_Project_Forecast_Input_Template.xlsx – 20-column collection template with pick-lists
PMOC_Project_Forecast_Early_Warning_App.html – offline app
Quick-start guide (PDF, 7 pages)
Licence and third-party notices

Project Forecast Accuracy & Early-Warning Engine

33% off

One-time purchase · Instant download

Instant download No macros Mac & Windows

What you receive

Instant download No macros
Mac & Windows