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Memory
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Discovery & Qualification

Discovery & Qualification

One definition of what must be understood and evidenced before an opportunity is real: the questions worth asking, the standard of proof, and what counts as a gap. Held as your GTM system's memory rather than a set of fields, so qualification is a judgement the whole system applies and improves.

Learning from every outcome
Deals scoring 4+ on MEDDPICC close best
80% win rate against 15% at the lowest band
$38K average ACV, 65-day cycle
Below a 3, qualification stops predicting
15% win rate, $5K ACV, 98-day cycle
Below score 3, next step rate drops to 22%
Upgrade proposedv9v10
LEARNING
The memory upgrades
Memory
Discovery & Qualification
v10
Criteria: metrics, champion, decision process
Score of 3 now the minimum to leave Discoveryv10
Evidence: named champion, confirmed pain
Economic buyer confirmation now requiredv10
Gaps recorded on the deal, no mark against the rep
Approve upgrade to Discovery & Qualification?
The current way > AI added on > AI-native

The moments qualification decides, and what it is deciding on

Qualification is a claim that a deal is real. Follow the claim through these three columns and it either rests on evidence someone can point to, or on a form that got completed because it was sitting there empty.

01 | The Current Way

02 | AI Added On

03 | AI-Native

A discovery call ends

Notes, in a doc, somewhere

What was learned lives in one rep's notebook, in their words, at their level of detail.

Fields filled from a transcript

The transcript-extraction tool populates the framework. Extraction is not qualification: it records answers without judging whether they are good enough.

Tested against the standard

What was said is checked against your evidence standard, and what is still unproven is named while there is time to go back and ask.

A deal gets qualified

Whoever is optimistic

Two reps with the same information reach different conclusions, and both are defensible.

Complete, not qualified

Every box is ticked and the deal still is not real. Completeness was measured, sufficiency was not.

Qualified on evidence

The deal passes when the approved criteria are evidenced, and every judgement cites the evidence it rests on.

A manager reviews a deal

Asking it all again

The review re-runs discovery because there is no shared record of what was established.

A summary of the same gap

The recap says budget came up on the call. It cannot tell the manager whether budget was actually confirmed, or only mentioned in passing.

The gap is named

The review opens with what is still unproven, for example no confirmed economic buyer, and gives the rep the exact question to ask on the next call.

The forecast gets built

Commit on checkbox hygiene

The roll-up trusts a field marked 'champion confirmed', with no record of why the rep believes that is true.

Confident, still wrong

The forecast rolls the 'champion confirmed' field into a clean number. It has no way to judge whether that confirmation is solid or just a box someone ticked.

Weighted by what is proven

Deals carry the evidence behind their qualification, so the roll-up distinguishes a proven deal from a hopeful one.

The criteria stop predicting wins

The framework outlives its use

Criteria adopted years ago stay in place, predicting nothing, because no one owns testing them.

Faster at the wrong bar

The qualification tool scores more deals against a standard nobody has checked against outcomes.

Won and lost deals retune it

Outcome data shows which criteria actually separate wins from losses. RevOps reviews the revised standard before it changes what counts as qualified.

Referenced by

Capabilities that reason with this memory

Sales

Qualification

Active
Fresh discovery call read against your criteria
Nine criteria checked, not the boxes the rep filled
Champion confirmed, decision process still inferred
Two answers proven, one assumption flagged for evidence
Three gaps named, with the questions that close them
Queued for the next call, before the deal moves stage
+
Hold at Discovery recommended, reason on record
Sufficiency not met; the manager sees the same evidence
Know which deals are real, and what to ask next
SEE HOW IT WORKS

Sales

Meeting Prep

Active
Brief built for tomorrow's Acme renewal call
Pulled live deal state 1 hour before the meeting
Flagged two deals with no next step
Both stalled 14+ days since last activity
New stakeholder added to the buying group
CFO joined — added to the account brief
+
Objection playbook matched to the call
Pricing pushback: three proven responses surfaced
2 briefs ready for your review before 9am
SEE HOW IT WORKS

Sales

Deal Health

Active
Northwind now at risk of going to a competitor
Champion's gone quiet; a rival is in the room
Two deals worth pushing while you're ahead
Momentum's with you, so press the advantage
One deal to cut: no budget, no path to the buyer
Sitting in forecast, propping up a false number
+
Every open deal, scored and ranked for the review
Where to save, where to push, where to walk
Where to spend your time, before the review
SEE HOW IT WORKS
SEE ALL CAPABILITIES
Used by

Skills that use this memory

Deal Assessment

One method for judging a deal, applied the same way.

SEE THE SKILL
SEE ALL SKILLS
The Platform

One system that understands, decides, acts and learns.

Every GTM signal flows through an AI-native operating layer into a system that runs on the surfaces your team already uses.

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FAQ

What buyers ask

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How can AI qualify sales opportunities?

The system tests evidence against a standard you approved. It reads what was established in meetings and activity, compares it to your qualification criteria, and reports what is proven, what is assumed and what is missing.

Is extracting MEDDPICC the same as qualification?

No, and the difference matters. Extraction records what was said into fields. Qualification judges whether that is sufficient, against a company-specific standard of evidence. A fully populated framework can still describe a deal that is not real.

How should AI identify qualification gaps?

By comparing what is evidenced against what your criteria require, then naming the difference in terms someone can act on: which question was never asked, which role never confirmed, which claim has no proof behind it.

Does this make qualification more rigid?

It makes it more consistent, which is different. The standard is explicit rather than implied, so two reps reach the same conclusion from the same evidence, and a manager can see why. Exceptions stay possible. They become visible instead of disappearing.

How do the criteria improve over time?

Won and lost deals reveal which criteria actually predicted the outcome and which were ceremony that never mattered. That evidence feeds directly into the standard: RevOps reviews what the data shows and updates which criteria count as qualifying before the next cohort of deals is judged against them.