LET'S DOUBLE CLICK - Consulting Hoodie
LET'S DOUBLE CLICK - Consulting Hoodie
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LET'S DOUBLE CLICK
The trouble began with a number.
It was a perfectly respectable number. Seventeen percent. Printed in dark blue, centered beneath a bold heading, and accompanied by a small upward-pointing arrow that suggested the situation was improving.
The number appeared on slide twenty-eight of a presentation prepared for the executive committee of Harrington Consumer Products, a manufacturer of household cleaning supplies headquartered in Cincinnati.
According to the slide, customer satisfaction had increased by seventeen percent.
Everyone was pleased.
The chief executive officer, a man named Douglas Harrington III, was particularly pleased. His grandfather had founded the company in 1938, and Douglas considered customer satisfaction one of the family responsibilities, along with maintaining the annual company picnic and ensuring that the original factory whistle continued to sound at noon.
He had already begun composing a congratulatory email.
Then a consultant named Claire Whitmore raised her hand.
Claire was thirty-six years old, had spent eleven years in management consulting, and possessed the sort of calm, inquisitive expression that made senior executives instinctively check whether their numbers had been reconciled.
She wore a dark green suit, carried a notebook with a cracked leather cover, and had developed an extraordinary ability to locate the one assumption in a presentation that everyone else had quietly agreed not to examine.
"Can we double click on that?" she asked.
The room became still.
Douglas looked at the slide.
"On customer satisfaction?"
"On the seventeen percent."
The vice president of marketing, a man named Peter, shifted slightly in his chair.
Peter had been responsible for the customer satisfaction initiative. He had overseen the surveys, approved the research methodology, and personally selected the photograph of a smiling woman holding a spray bottle that appeared on the opening slide.
He was proud of the seventeen percent.
Claire asked how the figure had been calculated.
Peter explained that the company had conducted a customer survey following the launch of its new packaging.
The results had been very encouraging.
Claire nodded.
"How many customers responded?"
Peter looked toward his director of research.
The director looked at his laptop.
"Four hundred and twelve."
Claire made a note.
"And how many customers received the survey?"
There was a pause.
"Approximately forty-eight thousand."
Claire nodded again.
"And the seventeen percent improvement—what are we comparing it with?"
Peter explained that the previous survey had been conducted eighteen months earlier.
Claire asked whether the questions had been the same.
They had not.
She asked whether the respondents had been drawn from the same customer population.
Not exactly.
She asked whether the seventeen percent represented an increase in the satisfaction score or an increase in the proportion of respondents selecting the highest satisfaction category.
The director of research began opening additional files.
Douglas put down his pen.
The congratulatory email would have to wait.
In consulting, the phrase "Let's double click" has become a remarkably versatile instrument.
It can mean examine the evidence, investigate an assumption, explore a problem, review the underlying data, or ask a question that everyone hoped had already been answered.
It can also mean that a meeting scheduled to end at eleven is now unlikely to finish before lunch.
The expression originated in the language of computers, where double-clicking opened something for closer inspection. Somewhere along the way, it escaped the desktop and entered the conference room, where it has remained ever since.
Consultants double click on strategies, processes, operating models, financial projections, customer journeys, organizational structures, and occasionally other people's double clicks.
It is a phrase capable of making almost any subject sound as though it contains a hidden compartment.
Sometimes it does.
Claire had learned this early in her career.
Her first consulting engagement had involved a regional transportation company whose management believed that fuel costs were responsible for declining profitability. The company's finance director had prepared an impressive analysis showing the relationship between diesel prices and operating margins.
The charts were persuasive.
The conclusions were logical.
Unfortunately, they were wrong.
A junior analyst had noticed that the company was including empty return journeys in one calculation but excluding them from another. Once the figures were corrected, the real problem became apparent.
The trucks were spending too much time traveling without cargo.
Fuel prices mattered, certainly.
But the more immediate problem was that the company was paying drivers to transport air across three states.
The discovery had changed the entire engagement.
Claire had never forgotten it.
She had also never forgotten the junior analyst, a quiet young man named Simon who had spent two days checking the formulas because something about the numbers bothered him.
Simon had not been invited to the executive presentation.
His work had been.
Now, eleven years later, Claire was sitting in another conference room, looking at another persuasive number.
The research director eventually located the original survey data.
It emerged that the seventeen percent improvement had been calculated using a revised scoring system introduced after the previous survey. The new methodology assigned greater weight to customers who reported being highly satisfied, while the old methodology had treated several response categories differently.
Both approaches were defensible.
Comparing them directly was not.
Peter looked disappointed.
"So customer satisfaction hasn't improved?" he asked.
Claire shook her head.
"We don't know that yet."
She explained that the company had useful information, but the analysis did not support the conclusion being presented. The team needed to normalize the results, examine the response patterns, and determine whether the apparent improvement reflected a genuine change in customer experience.
Douglas looked at the slide.
"Can we still use the seventeen percent?"
Claire considered the question.
"Not if we want it to mean what the slide says it means."
Douglas sighed.
He had been rather fond of the seventeen percent.
The meeting continued.
They examined customer complaints, repeat purchase behavior, product returns, and the performance of the new packaging across different retail channels.
There were interesting findings.
Customers liked the redesigned bottles. The new spray mechanism was easier to use, and the labels were clearer. But the company had also changed the formula of one popular cleaning product, and complaints about its effectiveness had increased.
Marketing had been measuring the packaging.
Customers had been experiencing the product.
The distinction was not insignificant.
By the end of the afternoon, the executive team had a more complicated understanding of customer satisfaction than it had possessed that morning.
It was also a more useful one.
Claire's team spent the following two weeks examining the underlying data. They worked with marketing, product development, customer service, and finance to construct a consistent view of customer experience.
They discovered that satisfaction had improved in several categories, remained stable in others, and declined among customers who purchased the reformulated product.
The company had made genuine progress.
It had also created a problem.
Both things could be true.
This was the sort of conclusion Claire preferred.
Consulting is full of elegant frameworks, ambitious strategies, and presentations designed to make complicated subjects appear manageable. There is real skill in reducing a difficult problem to a clear explanation.
But clarity is not the same as simplicity.
And a confident conclusion is only as reliable as the assumptions beneath it.
Good consultants learn to recognize when a number deserves another question, when a process diagram conceals an exception, and when a perfectly reasonable recommendation depends on something nobody has actually verified.
They learn that a company's official operating procedure may bear only a passing resemblance to what happens on the factory floor.
They learn that the most useful information in a meeting sometimes comes from the person who has said the least.
And they learn that the words "We've always done it this way" are not an explanation.
They are an invitation.
Of course, there are limits.
Not every question requires an investigation. Not every assumption deserves a three-week analysis. And not every discussion benefits from another forty-five minutes of examining something that everyone already understands.
There is a particular danger in consulting of becoming so interested in the details that the original decision disappears beneath them.
Claire had seen this happen.
She had attended meetings in which a team spent an entire afternoon debating the definition of a metric that nobody intended to use. She had watched analysts construct elaborate models to answer questions whose practical significance could not be established.
She had once worked with a partner who insisted on reviewing every assumption in a financial forecast, including the estimated annual cost of office stationery.
The engagement was worth several million dollars.
The stationery expense was forty-eight hundred.
Claire believed in asking better questions.
She also believed in knowing when to stop.
At the next executive committee meeting, she presented the revised findings.
Customer satisfaction had improved in several meaningful areas, particularly packaging usability and product availability. The reformulated cleaning product, however, required immediate attention.
The team recommended additional product testing, a review of customer complaints, and a more consistent measurement approach for future surveys.
Douglas studied the results.
"So the good news is real," he said.
"Some of it," Claire replied.
"And the bad news?"
"Also real."
Douglas nodded.
He could work with that.
The company approved the recommendations. Product development began reviewing the formula, marketing revised its reporting, and the research team established a consistent methodology for future surveys.
There was no dramatic transformation.
There was simply a company making better decisions because it had taken the trouble to understand what its information actually meant.
Three months later, Claire received a note from Peter.
The revised product had performed well in testing. Customer complaints were declining, and the company had introduced a new dashboard that separated packaging satisfaction from product performance.
He thanked her for the work.
Then he added a sentence.
"I think you'll be pleased to know that we no longer report the seventeen percent."
Claire smiled.
She was.
The following Monday, she began a new engagement with a national financial services company.
At the kickoff meeting, the chief operating officer presented a chart showing that employee productivity had increased by twenty-three percent following a major technology investment.
It was an attractive chart.
Dark blue columns. A clear upward trend. A small green arrow in the upper-right corner.
Claire studied it for a moment.
Then she raised her hand.
LET'S DOUBLE CLICK celebrates the art of looking beneath the obvious, questioning what everyone else has accepted, and discovering the small but consequential details that separate an impressive presentation from a genuinely useful conclusion.
An original BIENTEVEO design for management consultants, strategy professionals, business analysts, financial analysts, transformation teams, and everyone who knows that the most interesting part of a number is often what happens when you ask where it came from.
The Hoodie
Made from 100% ring-spun U.S. cotton by Comfort Colors®, this lightweight hoodie has a relaxed fit and the soft, lived-in feel the brand is known for—comfortable enough for easy, year-round wear.
• 100% ring-spun U.S. cotton
• Lightweight 6.4 oz./yd² (217 g/m²) fabric
• Relaxed unisex fit
• Jersey-lined hood
• Natural-colored flatcord
• Rolled-forward shoulders for added comfort
• Made with low-impact, salt-free pigment dyes
• OEKO-TEX® STANDARD 100 certified dyes
• Made with cotton sourced through the U.S. Cotton Trust Protocol
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