A MEDDIC scoring model turns a qualification checklist into a number. Each of the six elements, metrics, economic buyer, decision criteria, decision process, identified pain, and champion, gets a point value based on the evidence attached to it. The result is a single figure that lets a manager sort a pipeline by qualification quality instead of by deal size.
Build the scale small
Use 0, 1, and 2 per element for a 12 point maximum. Zero means nobody knows. One means the rep has an assumption or a secondhand answer. Two means there is evidence a manager can verify without calling the rep. Wider scales feel more precise and produce more argument, because the difference between a 6 and a 7 is opinion while the difference between an assumption and an artifact is fact.
Define the evidence for each element
Write the artifact that earns a 2 before you launch the model. A metrics score of 2 means a number the buyer stated in their own terms. An economic buyer score of 2 means a named contact the rep has spoken with directly. A champion score of 2 means someone who has advocated for you when you were not in the room. Without those definitions, the score measures rep optimism.
Use the score to rank, not to weight the number
The score is an inspection tool. Sort open pipeline by score descending and work the low end, because that is where the invisible risk lives. Resist the urge to multiply deal value by the score and call the result a forecast. Stage-based weighting already encodes probability, and stacking a second multiplier on top produces a number nobody can explain, which is the failure mode described in weighted pipeline.
What scoring cannot fix
A qualification score says nothing about deal amount accuracy. ORM illustrates the gap with a pipeline carrying an $80,000 average deal size against $40,000 in average closed-won value, and every one of those inflated deals could score a perfect 12. Amount discipline is a separate control.
Scoring also does not stop deals from aging out. Track score alongside time in stage, because a deal that held a 10 for two quarters without closing is telling you the decision process element was wrong. Pair the model with win rate by score band to find where your bar actually sits, and check whether high-scoring deals show up less often in deal slippage at quarter end. If they do not, your evidence definitions are too loose.
Frequently Asked Questions
How do you score a MEDDIC deal?
Score each of the six elements from 0 to 2, where 0 means unknown, 1 means the rep has an assumption, and 2 means the rep has evidence a manager can check. That gives a 12 point scale. Keep the scale small, because a 0 to 10 scale per element invites reps to argue the difference between a 6 and a 7 instead of finding the missing evidence.
What score should a deal have before it enters a late stage?
Set the bar per stage rather than per deal, and make the economic buyer and decision process elements mandatory before any stage where you would build a quote. A deal that scores well on pain and metrics while scoring zero on the economic buyer is a deal without a buyer, whatever the total says.
Should the MEDDIC score replace stage probability in the forecast?
No. Use it to rank deals for inspection and to trigger manager action, not as a probability multiplier on deal value. Stage probability and qualification quality measure different things, and multiplying one by the other double counts risk.
Who scores the deal, the rep or the manager?
The rep scores it and the manager audits a sample every week. Self-scoring alone drifts upward over a quarter. Manager-only scoring does not scale past a handful of deals and removes the coaching moment, which is where the value of the exercise actually sits.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like meddic scoring model into prescriptive action for your team.
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