Age it and test it. Pull every open opportunity, sort by days since the last customer initiated action, and treat anything past two normal sales cycles as dead until proven otherwise. Then apply three tests to what remains: is there a named economic buyer, is there a written next step with a date, and has the customer done something (sent a document, taken an internal meeting, looped in security or procurement) rather than just said something. Pipeline that fails two of three is not pipeline, it is a list. Do this monthly and publish the deletions, because the point is not a tidier CRM, it is that your coverage ratio stops lying to you at exactly the moment you need it to be true.
3 hand-picked resources, 3 link-checked. Pick how you want to dig in.
Why we picked it Explains why the 3x rule of thumb is wrong for most teams and shows how to derive your own coverage number from your actual win rate. Weighted versus unweighted coverage is handled properly too.
From Clari by Jess Richter 11 min read
Open clari.com →Why we picked it Gives testable definitions for pipeline, best case and commit, including the entry criteria a deal must meet. Copy these into your CRM and most forecast arguments disappear.
From Clari by Blair Stokes 9 min read
Open clari.com →Why we picked it For each metric it names the underlying behaviours you can actually coach, which is what turns a dashboard into a management action rather than a monthly lament.
From Gong Labs by Jonathan Costet 12 min read
Open gong.io →How forecasting and gtm metrics reads from a different seat.
