historical business Cases

What is actually blocking your rationalization? What the spreadsheet already does What the software actually adds From diagnosis to decision When should you buy the software? When is the spreadsheet the right answer? How to run it on a spreadsheet You are asking which tool to use. The question that decides it is different: is your rationalization stuck because nobody can do the analysis, or because nobody will make the decision? Those have different answers, and only one of them is a software problem. Almost every stalled SKU project I have seen was stuck on the second. The list existed. Somebody had built it. What was missing was agreement on the rules, an owner with the authority to sign, and a plan for the customers involved. No tool supplies any of those. What is actually blocking your rationalization? Ask where the last attempt died. If it died at the spreadsheet, because nobody could assemble the data or the analysis took a month and was stale on arrival, you may have a tooling problem. If it died in a meeting, you have a decision-rights problem, and buying software will give you a better-looking list that dies in the same meeting next […] Read More

FICTION · An Unfair Advantage Intervention Fiction. Real history. Sourced below. Put the two decisions side by side. One was a thirty-minute edit window, argued over by the entire technology industry for roughly a decade. The other was the ownership of the company, which changed three times in four years and turned a advertising business into a data asset for an AI lab inside a rocket company. Only one of those got the attention. It was the wrong one. I'm Claire Anderson, and I was in the room in 2016 when we spent an entire session on whether Twitter should let people edit tweets. I argued hard. I was wrong — not about the reasoning, which mostly holds, but about the thing being reasoned about. This is what it looks like to be sharp and pointed at the wrong object, and I'd rather examine that than pretend I saw it coming. Full fiction disclosure and sourcing note This is a work of fiction. Claire Anderson is a fictional character from The Unfair Advantage by Todd Hagopian, and Cartwell is the book's fictional company. Claire analyzes the real, documented history of Twitter and X from the present day; she never advised […] Read More

What does this article cover? Which metrics lie in a declining business? Why do they invert? What should you report weekly? Do the early warning models help? Where does rate beat level? What do you tell the board? Who should this article send away? Where does this break down? People also ask What I sell, and what I don't About the Stagnation Assassin A declining business produces a specific and dangerous artefact: a dashboard where several numbers improve while the company gets smaller. This is not anybody manipulating anything. It is arithmetic, it is predictable, and it is the reason boards are frequently reassured in the quarter before the one that goes badly. Before recommending what to measure, this article covers what to stop believing, because the metrics that mislead you in decline are the ones that served you perfectly well in growth. Which metrics lie in a declining business? Several of the ones your board reads. Gross margin percentage, inventory turns, revenue per employee and capacity utilization all improve as a business shrinks, for reasons that have nothing to do with recovery and everything to do with the shrinking itself. Work through each one, because the mechanism differs and […] Read More

Ein Werk mit schwacher Leistung scheitert fast nie an Personal, Anlagen oder Nachfrage. Diese drei Ursachen werden zuerst genannt, weil sie die sichtbarsten im Gebäude sind. Die vier, die den Verlust tatsächlich erzeugen, liegen in der Schicht oberhalb der Linie: Sichtbarkeitslatenz, diffuse Verantwortung, Entscheidungslatenz und Portfolio-Ballast. Der Test, der sie voneinander trennt, passt in eine Woche Protokoll. Inhalt Ursache eins: Personal, was fast nie die Ursache ist Ursache zwei: Anlagen, ein Symptom mit eigenem Instandhaltungsprotokoll Ursache drei: Nachfrage, die manchmal wirklich die Antwort ist Ursache vier: Sichtbarkeitslatenz Ursache fünf: diffuse Verantwortung Ursache sechs: Entscheidungslatenz Ursache sieben: Portfolio-Ballast Über den Stagnation Assassin Zusammenfassung Die drei sichtbaren Ursachen sind Personal, Anlagen und Nachfrage. Sie werden zuerst genannt, weil sie offen daliegen, und nur eine davon, die Nachfrage, ist in einem relevanten Anteil der Fälle tatsächlich die richtige Antwort. Personal ist die meistgenannte und am seltensten zutreffende Ursache. Der Test lautet: ist das Symptom flach oder schwankend. Schwankung bedeutet Reaktion, nicht Ursache. Anlagen bringen ihren eigenen Papierweg mit. Zwölf Monate ungeplante Stillstandszeit, nach Anlage sortiert, zeigen, ob Sie ein Maschinenproblem oder ein Problem der Investitionsallokation haben. Nachfrage verlangt den strengsten Test: verliert das Werk Aufträge oder verliert es gegen die Aufträge. Die vier […] Read More

Una planta con bajo desempeño casi nunca falla por mano de obra, equipo o demanda. Esas tres causas se nombran primero solo porque son las más visibles del edificio. Las cuatro que de verdad producen la pérdida viven en la capa que está por encima de la línea: latencia de visibilidad, dilución de la responsabilidad, latencia de decisión y arrastre de portafolio. La prueba que las separa cabe en una semana de registro. Contenido Causa uno: mano de obra, que casi nunca es la causa Causa dos: equipo, un síntoma con bitácora de mantenimiento Causa tres: demanda, que a veces sí es real Causa cuatro: latencia de visibilidad Causa cinco: dilución de la responsabilidad Causa seis: latencia de decisión Causa siete: arrastre de portafolio Sobre el Stagnation Assassin Resumen Las tres causas visibles son mano de obra, equipo y demanda. Se nombran primero porque están a la vista, y solo una de ellas, la demanda, resulta ser la respuesta correcta en una proporción relevante de los casos. Mano de obra es la causa más nombrada y la menos correcta. La prueba es si el síntoma es plano u oscilante. La oscilación indica respuesta, no causa. Equipo llega con su propio […] Read More

Fábricas com baixo desempenho quase nunca falham por mão de obra, equipamento ou demanda. Essas três causas são nomeadas primeiro apenas porque são as mais visíveis do prédio. As quatro que de fato produzem a perda vivem na camada acima da linha: latência de visibilidade, diluição da responsabilidade, latência de decisão e arrasto de portfólio. O teste que separa umas das outras cabe em uma semana de registro. Índice Causa um: mão de obra, que quase nunca é a causa Causa dois: equipamento, um sintoma com registro de manutenção Causa três: demanda, que às vezes é real Causa quatro: latência de visibilidade Causa cinco: diluição da responsabilidade Causa seis: latência de decisão Causa sete: arrasto de portfólio Sobre o Stagnation Assassin Resumo As três causas visíveis são mão de obra, equipamento e demanda. Elas são citadas primeiro porque estão à vista, e apenas uma delas, a demanda, é a resposta correta em uma parcela relevante dos casos. Mão de obra é a causa mais citada e a menos correta. O teste é se o sintoma é plano ou oscilante. Oscilação significa resposta, não causa. Equipamento vem com trilha de papel. Doze meses de parada não programada, ordenados por ativo, revelam […] Read More

The advice is to make the right call. Take the time, gather the information, do not rush a decision you cannot reverse. It is repeated in every leadership course and it is defensible on its own terms, which is exactly why it is dangerous: it names one cost, the cost of being wrong, and it is silent about the other one. The other one is the cost of being late, and in an operating business it is usually larger. Not occasionally larger. Usually. The reason nobody manages it is that the cost of a wrong decision arrives with a name attached and the cost of a slow decision does not. Somebody owns a bad call. Nobody owns a call that took eleven weeks, because there was never a moment where anyone decided to take eleven weeks. It accumulated, one reasonable request for more analysis at a time. I have spent my career in corporate turnarounds at Berkshire Hathaway, Illinois Tool Works, and Whirlpool, and four years running a small industrial tank liner manufacturer I bought and later sold to its largest vendor. The single most consistent difference between the businesses that recovered and the ones that ground on was not […] Read More

FICTION · An Unfair Advantage Intervention Fiction. Real history. Sourced below. Breaking up Standard Oil in 1911 roughly doubled John D. Rockefeller's fortune, and almost every lesson drawn from that fact is unearned. The automobile arrived in the same window and remade the value of oil regardless of corporate structure. Nobody telling the story computes a baseline. In September 2025, a federal judge refused to break up Google for something very close to that reason. Mark Mitchell wanted to talk about measurement. Linda Cartwell wanted to talk about the next ninety years. They did not reach the same conclusion, and this article does not pretend they did. Mark's position is that the 1911 breakup is the most-cited case in corporate structure and the least-audited, because the number everyone quotes has no denominator attached. Linda's position is that Mark is asking for arithmetic nobody can produce, and that the only real evidence arrived slowly, in the form of the pieces putting themselves back together. Both of them think the live version of this argument is the one that matters. Full fiction disclosure and sourcing note Mark Mitchell and Linda Cartwell are fictional characters from The Unfair Advantage by Todd Hagopian, analyzing […] Read More

The standard advice for this situation is to build an airtight business case. Get the numbers right, show the contribution per hour, quantify the complexity cost, put it in a deck, and present it calmly. Reason will prevail. It will not, and it is worth understanding why before you spend three weeks on the deck. The founder is not disagreeing with your arithmetic. They are disagreeing with what the arithmetic implies about a decision they made, often the decision that created the company. A better number does not answer that, and a more precise one can make it worse, because precision reads as insistence. What actually works is treating this as a process problem rather than a persuasion problem. Find out which of the four kinds of attachment you are facing, since they need different handling, then change the decision so it stops being a referendum on the founder's judgment. The analysis still has to be right. It just does not do the work you were hoping it would do. The wider method these decisions sit inside, the grid, the exposure estimate, and the migration plan, is in the guide on how to cut a product line without losing revenue. […] Read More