Dating KPIs

An investment banker’s love story in sixteen metrics
Out 13 November 2026. Pre-order the Kindle edition: amazon.co.uk · amazon.com

M&A · Exclusive

Banker models his love life. The model works perfectly.

A Vice President at an American bank in Canary Wharf applies funnel analysis, due diligence and post-merger integration to dating. Analysts agree the model is not the solution. It is the problem.

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Our narrator is thirty-five, British, read Economics at Durham and carries an internal credit rating of B-plus, outlook stable. He keeps a pivot table of his past dates. His best friend Felix, a strategy consultant, answers every crisis with a two-by-two matrix. His mentor Alex, a Managing Director in Leveraged Finance, runs his love life as a portfolio of mandates.

Then Hannah Ashworth, Year 3 teacher in Hackney, lends him a pen in a café on Broadway Market. She finds his jargon hilarious and fits into none of his models. She also keeps a tally of his red flags. It is longer than his.

Sixteen of the seventeen chapters each define one metric, from Romantic Return on Invested Time to the Ghosting Index, applies it to a story with real numbers, and ends with three management learnings at the narrator's expense. Chapter 16 wires everything into a three-statement model you can run yourself.

The jargon is not explained. It is deployed. The joke is always on the narrator, his industry and his spreadsheet, never on the women, who are invariably a step ahead.

Live: three KPIs to try right now

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Thirteen more KPIs and the full Deal Score from 0 to 100, with rating, charts and analyst notes.

New: the Dating KPIs game

On the App Store and Google Play from 13 November 2026

The companion app brings bar mode: seven rounds for the whole table, one phone passed around. Plus your deal pipeline, date diary and Deal Score over time.

About the app →

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Investment highlights

Source: narrator's estimates

Coverage

16

KPIs across seventeen chapters

From the Romantic Sharpe Ratio to the Sunk Cost Ratio. Every metric comes with a formula, worked numbers and a KPI fact sheet.

Model

0–100

a working Deal Score

Income statement, balance sheet, cash flow. The online calculator is built to the book's own specification, warnings and known model errors included.

Audience

6 min

billing units, respected

Written for investment bankers, consultants, private equity and deal lawyers. Short chapters. Readable between two calls.

Excerpt · Chapter 4

Risk management

Risk

The £94 sea bass that triggered a concentration-risk alert

Concentration risk, diversification and the Sharpe ratio of the heart. The chapter that introduces the Exposure Ratio, and the reason the calculator refuses to score anyone who spends more than ten per cent of their disposable income on a single evening.

Sea bass£34.50
Pinot Grigio 250 ml ×2£36.50
Dessert£12.50
Tap water£0.00
Subtotal£83.50
Service charge£10.50
Total£94.00
Disposable income£780.00
Exposure ratio12.1%
Concentration risk. Please proceed to a café.

The most expensive sea bass of my life cost £34.50.

I was twenty-three, in my final year reading Economics at Durham, just back from the placement year in London, and after rent, tuition fees and a mobile contract I had taken out for reasons of status, I had exactly £780 a month to spend as I pleased. Experience showed that £300 of this went on food, £120 on things I could no longer account for by the end of the month, and the rest on what I then called ‘quality of life’ and would today describe as ‘unplanned liquidity outflows’.

Her name was Larissa. We had met in a lecture on capital market theory, which has a certain irony. She had asked to borrow a pen. I gave her my best one. That was my first investment in the relationship and, looking back, the only one she chose to keep: I never got the pen back.

Larissa ordered the sea bass. With a glass of Pinot Grigio. Then another. Then, when I had stopped looking, a dessert.

I ordered tap water and said I’d had a late lunch.

That was a lie. I hadn’t eaten since breakfast, because I had cut lunch in order to afford dinner. So I sat there, hungry, in front of an empty plate, watching a woman eat a fish that cost more than my weekly shop. It was like watching someone else’s fund burn through your capital. She had no idea. I had, after all, told her I’d had a late lunch.

It was like watching someone else’s fund burn through your capital.

The bill came to £94, including service charge. I paid with the composure of a man already running the numbers on his overdraft.

Two days later a message arrived. It read: ‘You’re really sweet, but I don’t think I’m ready for anything serious right now.’

At the time I took that message for a rejection. I now know it was a write-off notice.

Contents · Market data

Seventeen chapters, sixteen KPIs and one that cannot be measured

Free try it now, no book needed With the book unlocks with a question about the book

No.ChapterKPI and formula

Chapter 16 · The integrated deal model

Three statements, fifteen KPIs and one circular argument

Income statement for satisfaction, balance sheet for commitment and legacy issues, cash flow for cost and time. The calculator turns your numbers into a Deal Score from 0 to 100, with a traffic light, exclusion criteria and eighteen warnings. Everything runs in your browser. Nothing is stored or sent.

Income statement (satisfaction)21.3 / 45
Balance sheet (commitment)20.1 / 30
Cash flow (cost & time)16.7 / 25
Deal Score58 · HOLD
W16 · The counterparty has found more red flags in you than you have in them.
W18 · This model was built by the person doing the rating.

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Kindle pre-order open · out 13 November 2026

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Dating KPIs, by Hugo Leverett

An investment banker’s love story in sixteen metrics. The perfect gift for anyone who has ever built a model for something that did not want to be modelled. Including themselves.

Kindle e-bookPre-order now · out 13 November 2026
PaperbackGift-ready, 5.5 × 8.5 in · coming soon
HardcoverComing soon
AudiobookIn preparation

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About the author

Hugo Leverett

Profile

Hugo Leverett

Hugo Leverett is the pen name of an author who has spent many years around banks, private equity and transactions. Dating KPIs is his first novel. The narrator, a Vice President in M&A in Canary Wharf with an internal credit rating of B-plus, is fiction. His spreadsheets, the author concedes, are not entirely.

Small print · Risk factors

Please read before investing your evening

Forward-looking statementsThis book contains statements about love that are based on the narrator's current expectations. Actual results have differed materially in every chapter.

Model riskThe Deal Score was built by the person it evaluates. It cannot find its own error, because the error sits in an assumption, not in a formula. Formula auditing catches circular references, not circular reasoning.

Past performanceThe narrator's track record is no indicator of future results. It is, however, a reliable indicator of his track record.

Counterparty riskAll counterparties in this book are smarter than the narrator. Readers should assume the same applies to theirs.

FictionAll characters, banks and restaurants are invented. Any resemblance to a real Managing Director in Leveraged Finance is the reader's own due diligence finding.

AvailabilityThe Kindle e-book can be pre-ordered now on Amazon. Out 13 November 2026. Paperback and hardcover follow, an audiobook later. Parts of the text were written with AI assistance and will be declared as such.

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