The question list was longer than the calendar allowed
A commercial diligence team inside a private equity practice was assessing a retail chain. It had exclusivity, a fixed period in which it alone can negotiate the deal, and that period was short. The question list it had drawn up needed more expert conversations than the calendar allowed. The end date on a deal is set by somebody else, and what usually runs short is the time to source, clear and hold enough conversations for a pattern to show.
Half the planned calls do not give you half the answer. They give you anecdotes, and a diligence team knows the difference. Widening the question list does not help when the window itself is fixed, so the process had to be built for rate.
We sourced every seat at once instead of in turn
We ran AI moderated calls against a fixed guide, so a conversation could happen whenever the participant was free. Sourcing ran in parallel across every seat on the question list: category buyers, store and regional managers, and suppliers into the chain. The slowest seat set the timetable, rather than the sum of all of them.
Screening stayed exactly where it was. Conflicts were cleared against the target and its close competitors at the point of sourcing, which is the cheapest moment to clear them, and nothing was relaxed to make the numbers work. Analysis began on the transcripts as calls closed, so the team was reading the early conversations while the later ones were still being arranged.
The team hit its full planned call count
The team completed the call count it had planned, with days still in hand. Its view rested on the full sample rather than on whichever conversations had been easy to arrange. The practice now plans how many calls it can hold at kickoff, which used to be something the team discovered in the closing week.
It also changed what the practice buys. Sourcing a set number of conversations inside a fixed window is a different job from sourcing a single name, and briefs are scoped that way now.
