Companion files

Operational Due Diligence in Private Equity

Assessing Managers Beyond the Investment Case

These are the companion files of Operational Due Diligence in Private Equity by Julian R. Sterling.The book on Amazon →

One Excel workbook that takes the sharpest warning in the book and measures it. Around it, a blank version for your own review programme, four working documents to print, forty questions that mark themselves, and three cases the book does not work. All free. Nothing is gated behind a sign-up, and no email address is asked for.

Everything on this page, in one archive

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Six workbooks, the printable documents and the read-me. Each group below can also be downloaded on its own. Last revised 22 September 2026.

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The workbook

Refining your rubric makes it worse

With eight domains, one scoring 5, and an approval threshold of 2.00, the average clears whenever the other seven average 1.571 or better. Not perfection elsewhere — just good elsewhere.

Now split those eight domains into sixteen to capture more nuance, as programmes regularly do. The fatal domain's weight falls from 12.5 per cent to 6.2, and the average the rest must hold to bury it rises to 1.800. A team that refined its rubric has made it easier to hide a fatal flaw, not harder. Nobody running that exercise would describe it that way. If the model needs to be stronger, add veto rules — not domains.

The weights do not matter. The structure does.

Three weighting schemes across the same twelve managers — equal, controls-heavy, governance-heavy. Rank correlation against equal weighting: 0.979 and 0.993. Decisions changed: zero out of twelve. Not one recommendation moves.

Now change the model's structure instead — replace pure averaging with veto rules on custody, conflicts and valuation. Five decisions out of twelve change.

Committee time spent debating weights is time that cannot change an outcome. The design decision that determines every outcome — whether the model can say this one issue is disqualifying — is usually taken in a sentence and never revisited.

How far apart can two analysts be?

Chapter 3 asks whether two analysts would draw the materiality line in the same place. The workbook answers it: for each manager, the distance to the nearest threshold, converted into analyst-points — single-notch disagreements needed to cross a boundary.

Four managers sit one point from a different recommendation. Three more sit two. The median is two analyst-points out of eight domains — which is to say two analysts disagreeing by one notch on two domains hand the investment committee different answers on more than half the book.

That is not an argument against scoring. It is an argument for printing the distance to the threshold beside the score. A rating of 2.10 one point from a boundary and a rating of 1.20 eight points from one are not the same statement about a manager, and a report showing only the rating has thrown away the more useful half of the information.

The same model, for your own managers

The rating model with the managers and thresholds emptied. Enter your own reviews, one row each; the checks sheet counts what is still missing and tests what must hold in any programme.

The documents the chapters describe

Seven pages to print and take into a meeting. A4, with margins wide enough for US Letter.

Forty questions, marked by the file

A workbook that marks itself. Answer in the yellow cells; the marking fills in as you go.

Three cases the book does not work

New material, not a restatement. Three situations the chapters name in passing and never take to a number. Each case is one workbook: the note is the first sheet, the model is the rest, and a checks sheet closes it. Type your own figures in and every finding recomputes.

Conventions used throughout

Amber fillan input — you may edit these
Grey filla formula — do not overtype these
Checks sheettwenty-four controls, each stating its own verdict

Every manager and score is illustrative, as everything in the book is. What is not illustrative is the arithmetic, which holds for any weighted-average model with a fatal domain in it. One control tests that a manager with a 5 in a veto domain still reads “Approve” under averaging — because that is the finding.

Opening the file

The workbook opens in Microsoft Excel, LibreOffice Calc, Google Sheets and Numbers. It uses no macros and no add-ins, so nothing needs to be enabled or trusted. If your spreadsheet asks to update links on opening, decline — there are none.

What changed, and when

22 Sep 2026A blank version of the rating model, four working documents on seven pages, forty questions that mark themselves and three new cases. The book’s workbook can now also be downloaded on its own; its content has not changed.

Articles on this book

Also by Julian R. Sterling

The other books with companion files. The full list of titles is on the author page.

Go beyond the companion files

Operational Due Diligence in Private Equity develops the complete framework behind these models, with the assumptions, trade-offs and worked examples tied together.

View the book on Amazon Read the related analysis

These files accompany Operational Due Diligence in Private Equity. The book is on Amazon.

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