What Sales/Customer-facing Professionals Can Learn from Calling Bullshit
Simone was two weeks from quota when marketing handed the sales team a one-pager featuring a chart claiming a dramatic jump in customer satisfaction since a recent update. The chart was compelling, and she had already planned to use it on her next call. Before the call, a prospect she trusted asked a sharp question over email about the sample behind the number, and Simone realized she did not actually know the answer. She went back to marketing and learned the number came from a tiny group of customers who had opted into a survey right after a positive support interaction, hardly representative of the whole base. She dropped the slide from her pitch that afternoon. The call went longer without it, built instead on specific examples she could actually defend, and the prospect signed anyway, telling her afterward that her directness was part of why he trusted the deal.
The whole book, compressed
This edition works through 4 core lessons — take them one at a time, not all at once.
What's different for your conditions
Tap whichever ones sound like you. Nothing here is sent or saved — it's just for your own noticing.
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The core lessons, applied to you
Checking the sales materials someone else built for you
Simone's satisfaction chart is a common sales trap: a number built by another team, handed over ready to use, that rests on a small, self-selected sample rather than the whole customer base. The habit worth building is asking, before using any statistic, who it was measured from and how they were chosen.
Sales teams cannot independently verify every marketing claim before every call, so some reliance on materials built by others is unavoidable. Practice: before your next pitch, ask the source team one question about the sample behind any headline statistic.
Before your next pitch, ask the source team one question about the sample behind any headline statistic.
Reading a chart the way a skeptical prospect will
A dramatic chart in a sales deck often uses the same techniques the book warns about: a favorable axis, a short window, or a scale chosen to make an ordinary change look remarkable. Simone's choice to drop a claim she could not defend, rather than hope no one asked, protected her credibility more than the slide helped her close deals.
Some genuinely strong results do look dramatic on an honest chart, and reflexively distrusting every impressive number can undersell a real advantage. Practice: before presenting a chart, imagine the sharpest question a skeptical prospect could ask and have a real answer ready.
Before presenting a chart, imagine the sharpest question a skeptical prospect could ask and have a real answer ready.
Not every improvement traces back to your product alone
When a customer's results improve after adopting a product, it is tempting to credit the product entirely, ignoring other changes happening in their business at the same time. A causal claim is stronger when it names what else might explain the improvement, rather than claiming full credit by default.
Customers rarely share enough detail about their own business for a clean causal case, so some ambiguity is unavoidable. Practice: before crediting your product for a result, ask what else changed in the customer's business at the same time.
Before crediting your product for a result, ask what else changed in the customer's business at the same time.
Honesty in a sales call as the foundation of the relationship
Being direct with a prospect about the limits of a statistic is not the same as undermining your own pitch, whatever the sales training you came up on might suggest. Simone's willingness to say a chart was not solid enough to use showed the prospect that her word could be trusted later, during onboarding, renewal, and every conversation that would follow the signature on the contract.
The sharpest tension for sales professionals is between the momentum needed to close a deal and the discipline of verifying a claim before repeating it, since pausing mid-pitch to question a number can break a conversation's rhythm. Simone's workable approach was verifying before the call whenever possible, and dropping an unverified claim mid-pitch rather than defending it under pressure.
Name one thing, honestly
- Which claim in your pitch deck have you never personally verified? - How would a skeptical prospect's best question about your top statistic actually go? - What would change if every number you used could survive a direct question?
Good. Now look back at the "Try this" line under whichever lesson feels most connected to what you just wrote, and treat that as this week's actual assignment — not all 4 at once.
The practices from this edition
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Run this for seven days
Before crediting your product for a result, ask what else changed in the customer's business at the same time.