THE O'BRIEN METHOD

Where deals leak, from lead to close.

Five places revenue dies between a lead arriving and revenue landing. We find which ones are costing you.
The map sets the sequence. The five boxes below carry the detail, in the same order.

01

ICP and Offer Clarity

Selling to everyone, closing no one.

Reps define a good fit by gut, so they chase anyone with a budget, and the offer sounds different on every call. We build a written ICP from your own win data, one agreed version of the offer every rep can deliver, and a disqualification standard so reps spend their hours only on winnable deals. This is the foundation the other four inherit.

02

Speed-to-Lead

Leads go cold before a rep calls.

Leads arrive and sit while reps work the easy ones first, and a lead contacted hours late converts at a fraction of one contacted in minutes. We install a first-contact clock, routing that hands each lead to a named person, and coverage that closes the nights and weekends dead zones. This domain often pays for the whole engagement by itself.

03

Qualification Rigor

Cycles burned on deals that won't close.

Reps fall in love with friendly deals that have no budget, no authority, and no timeline, and the pipeline fills with opportunities that will never close. We install one qualification standard drawn from your ICP, and the language to disqualify early without apology. The pipeline starts reflecting reality instead of hope.

04

Follow-Up Discipline

The deal wasn't lost. It was dropped.

Most revenue lost here is not lost to a competitor. It is lost to silence: a call that was never returned, a next step no one owned. We install a follow-up cadence that does not depend on any one rep’s memory, clear ownership of the next step on every live deal, and a way to re-engage deals that went quiet before they die.

05

Pipeline and Forecast Reliability

A forecast no one can trust.

The CRM is a graveyard of stale deals and wishful stages, so the forecast is a number the sales leader feels rather than derives, and it misses. We install stage definitions that mean the same thing to everyone, data discipline tied to the earlier domains, and a forecast built on honest stages. This one comes last, because it is only as reliable as the four beneath it.