So that none of this sounds abstract, let's walk through a typical situation — composite, but drawn from real practice.
A company sells equipment, a team of six reps. There are enough leads, but conversion to deal floats from person to person: 25% for the strong one, 11% for the average one. The owner sees the overall number but doesn't understand why the spread is so wide or where exactly customers are lost.
First we captured the real picture: listened to calls, took apart deals in the CRM. It turned out the weaker reps don't qualify the customer — they jump straight into the pitch. As a result they spend time on people with no budget and fail to close those who are ready. The problem isn't the people, it's the missing mandatory qualification stage.
Next we described the playbook: introduced four mandatory questions up front, tied the proposal to a "same-day" deadline, and locked the CRM so a deal can't move forward without qualification filled in. The scripts were built on how the strong rep worked.
We rolled it out not all at once, but starting with the two stages where the most was being lost. After six weeks the conversion spread narrowed: the weaker reps climbed to 17–18%, and the team's overall conversion rose by about a third. Not from new lead flow, but because they stopped losing the leads they already had.
Separately, we built the manager
dashboards for the sales department so they could see the funnel and conversion per rep in real time, instead of requesting reports once a month. That closed the control question: a sagging stage became visible immediately, not a quarter later when the money was already gone.
The main takeaway from projects like this: a playbook rarely requires changing people. More often it simply makes visible what used to happen blind, and sets one standard where there was a mismatch.