How To Turn Knowing Into Doing
Salespeople often know what they should do. They've been told, trained, and reminded. Then, in the moment that counts, they do something else. Stanford professors Jeffrey Pfeffer and Robert Sutton gave this a name 25 years ago: The Knowing-Doing Gap.
You can see it most clearly in how reps use data. Research on B2B sellers found that 83% of sellers who significantly exceeded quota cite using financial data somewhere in how they sell. The top performers reach for the number. Most reps don't, and the reason isn't that the data is missing.
The data has never been more available. After a decade of spending on CRM platforms, dashboards, conversation intelligence, and analytics tooling, the number a rep needs is usually right there on the screen. They've seen it. They've been trained on it. Then they get on a live call and sell the way they always have: on relationships, instinct, and the story that worked last quarter.
This isn't a technology adoption problem. It's a behavioral default problem, and the two require completely different fixes.
Knowing The Data And Using It Are Different Skills
Reps want to sell smarter. But under the pressure of a live conversation, the brain reaches for the path of least resistance, and that path is almost never "pull up the variance report and build a question around it." It's the familiar move, the one that feels like progress.
You can watch this happen in real time. At one freight brokerage, reps three to six months into a structured sales program knew the discovery sequence cold. They could recite it. Then the moment a prospect signaled interest or asked for a rate, they abandoned the sequence and jumped straight to quoting. The knowledge was intact. The behavior collapsed anyway.
That's the knowing-doing gap in miniature. A behavior that hasn't been practiced under real conditions simply won't surface when conditions get real.
Scarce selling time makes it worse. Salesforce's State of Sales research found reps spend just 28% of their week actually selling, the rest lost to admin, internal meetings, and data entry [1]. When the window is that narrow, reps protect it by defaulting to what feels fastest, and reaching for data feels slow until it becomes automatic.
The Cost Shows Up On The P&L, Not The Call Sheet
One rep skipping the data on one call looks harmless. Repeated across a team and a quarter, the same default produces problems that land on the numbers leaders are accountable for:
- Forecast distortion
Bad assumptions never get corrected - Margin erosion
Reps don't uncover the value of solving a problem, so they drop the rate to win - Invisible strategic signals
Demand shifts or procurement timing go undiscovered - Unexplained variance
Written off as "the market" when it was knowable all along
Sales skills may not seem the obvious culprit. But these are the same behavioral defaults, showing up in a different column.
More Training Won't Close It
The instinct, when reps aren't using the data, is to train them on the data again. Another dashboard walkthrough. A refreshed process document. A kickoff session on the new analytics tool. It rarely moves the behavior, because the reps already know the material. Adding knowledge to a knowing-doing gap just widens the part that was never the problem.
What changes behavior is practice, not more information.
It's the lesson of the forgetting curve: information delivered in an event fades fast, while behaviors built through repeated practice take hold and stay. Reps need to rehearse data-anchored conversations on their own live deals, again and again, until reaching for a data point before asking a question becomes the reflex.
Build The Habit Where The Work Happens
The organizations getting this right have stopped treating data-driven selling as content to deliver and started treating it as a behavior to build. The principle isn't new: most of what people learn at work, they learn on the job, not in a classroom. The job is where the habit forms, so the job is where the practice has to live.In practice, that means a few things working together:
- One behavior at a time
Reps work a single practice (anchoring a discovery question in a data point, for instance), moving from basic to advanced as it takes hold, rather than absorbing a whole methodology at once. - Practice tied to real accounts
The reps rehearse on their own live deals and calls, not hypothetical role-plays, so the behavior forms in the exact context where it has to fire. - An AI coach in the flow of work
Trained on the organization's own data and language, it helps them prepare for a real conversation and debrief afterward. - Managers as a validation gate
Before a rep advances a level, the manager confirms the new behavior is actually showing up in the field.
That last piece matters more than it sounds. It's the difference between "we trained them on it" and "we confirmed they're doing it"—and only one shows up in the forecast. It also gives leaders a real read on how many reps have genuinely adopted the behavior versus how many can merely describe it.
What This Changes For Leaders
The reps who beat quota aren't smarter about the data. They've practiced using it until it became the reflex. That's a capability any sales organization can build deliberately, and most simply haven't. Close the knowing-doing gap where it actually lives—in the daily work—and the numbers follow.
