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MEDDICC Deal Qualification Scorecard

Rate every open deal on MEDDICC with a source and date behind each score, plus stage gates and a calibration round to check reps score alike.

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What you get

Pack of 8 files: 4 documents, 4 spreadsheets

MEDDICC Deal Qualification Scorecard
  • Element DefinitionsDocument
  • Calibration StandardDocument
  • ScorecardSpreadsheet
  • Qualification Read by DealSpreadsheet
  • Coaching GuidanceDocument
  • Rater CalibrationSpreadsheet
  • Element DiscriminationSpreadsheet
  • Instrument ReadDocument
RiverMEDDICC Deal Qualification Scorecard

Instrument Read, Q3 2026

68 open deals, 5 raters, 3 calibration deals

Commit book, everything recorded£892,000
Commit book, current sourced evidence only£156,000
Median evidence age in commit73 days, against a 45-day clock
Elements that cannot carry a gate2 of 8, both required at full marks by the old gate

1. Does the instrument read the same thing twice

ElementRound 1 spreadRound 2Verdict
Economic Buyer3 of 31Fixed by one sentence
Champion3 of 31Fixed by one sentence
Paper Process21Tight

2. Does every element separate anything

Identify Pain reads 3 on 61 of 68 open deals. Nobody enters a deal with no pain into a pipeline, so the element was being scored after the selection had already happened. It carried the same weight in the gate as the elements that vary.

3. The three commit deals that fall

AccountValueRecordedCurrent
Pentworth Council£310,0002011
Erskine Water£240,0002214
Cadwell Utilities£186,000219

Pentworth's champion left in July and the cell still reads 3. Illustrative figures for one fictional field service software vendor.

Page 1 of 1190 words

How to build a MEDDICC scorecard

A MEDDICC scorecard rates every open deal on the seven elements of the MEDDICC sales qualification method: Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion and Competition. The MEDDPICC version adds an eighth, Paper Process. A good one scores each element on a short scale, such as 0 to 3, against evidence anyone can check. It records who said what and when, and sets the scores a deal needs to reach each stage.

The rule that matters most: score what the record shows, not what the rep believes. A score with no source can't be checked, and a score with no date goes stale without anyone noticing.

Four colleagues at a meeting table, one holding up a printed chart of sales by region while the others listen
In a pipeline review, ask what each score rests on. Photo: Vitaly Gariev on Unsplash

Know the MEDDICC elements

MEDDICC, a company that sells training in the method, says MEDDIC was created at the software company PTC in 19961. Adding Competition made MEDDICC, and adding Paper Process made MEDDPICC.

What each element asks, and what earns a 3

ElementWhat it asksWhat earns a 3
MetricsWhat the problem costsA cost the buyer stated in their own words
Economic BuyerWho approves the spendThat person saying, on record, they approve it
Decision CriteriaWhat they'll judge you onTheir own criteria, weighted or ranked
Decision ProcessThe steps to a decisionEvery remaining step, with its owner and date
Paper ProcessHow a yes becomes a signatureThe legal reviewer and the signer, both named
Identify PainThe problem, and who owns itA named owner who has put a cost on it
ChampionWho sells for you insideProof they argued your case without you
CompetitionWho else is in the runningWho you're up against, and where you stand

Write levels anyone can check

Give each element four levels, 0 to 3, defined by evidence you can find in the record. Susan Brookhart, an assessment researcher at Duquesne University, says the number of levels should reflect the decisions the scores drive and how many reliable distinctions are possible and helpful2. Keep one meaning per number across all eight elements:

  • 0: you asked, and it doesn't exist or works against you
  • 1: a partial, contradictory or refused answer
  • 2: one source established it, and it's in the record
  • 3: the evidence the element names is in the record
  • Blank: nobody has asked yet, a gap to track, not a 0
ExampleRewriting one element so scorers agreeAn illustrative example written for this guide

Before: 3 = economic buyer confirmed.

After: 3 = the person who approves the spend has said so, on a recorded call or in writing. 2 = someone else named them as the approver. 1 = a job title, or a name with no proof of authority.

  • One word, two readings. Some reps read "confirmed" as "we've met them," others as "they said they sign."
  • Second-hand caps at 2. A contact naming the signer is evidence about the contact, not the signer.

For Champion, MEDDICC says a champion must be able to advocate for your solution when you're not there3, so a 3 needs proof of exactly that. A friendly contact is only a 1.

Give every score a source and a date

Every score needs three things beside it: the artifact it came from, whose words are in it, and that artifact's date. An artifact is a call transcript, an email or a document the buyer sent; "the rep says so" isn't one. A score missing any of the three counts as zero at every gate.

Evidence also ages at different speeds, so give each element a clock. What a problem costs barely moves in a quarter, but who signs stops being true the day that person leaves.

How long a score stays current (the template's defaults)

ClockElementsWhy
180 daysMetrics, Identify PainThe cost of a problem changes slowly
90 daysDecision Criteria, Paper ProcessCriteria change after a shortlist, and signing routes after a reorganization
45 daysEconomic Buyer, Champion, Decision Process, CompetitionEach describes named people and what they intend now

Events beat the calendar

A named contact leaving expires every score sourced to them. A shortlist or formal requirements document expires Decision Criteria and Competition. Procurement joining expires Decision Process and Paper Process.

Set gates on current evidence

A gate is the minimum a deal needs to move to the next stage. Count only current, sourced scores toward it. The template's three gates, out of 24 points:

  • Leaving Qualify: Identify Pain and Economic Buyer at 2 or better, and a total of 10
  • Leaving Validate: Metrics and Decision Criteria at 2 or better too, and a total of 14
  • Entering Commit: every element at 2 or better, and a total of 18

Commit asks for 2 everywhere, not 3, because a gate that demands full marks on hard-to-score elements gets argued around. Keep Paper Process in that gate. MEDDICC notes that deals can stall in legal review, security sign-offs, vendor questionnaires or master service agreement negotiations4 even after the economic buyer has agreed to buy.

Read the pipeline twice, on everything recorded and on current evidence only. The gap between the two totals is the real forecast conversation. A deal that passes its total but fails one required element usually needs one call. Put the agreed next steps, with owners and dates, in a mutual action plan.

Check that your reps score alike

A scorecard only works if two people would score the same deal alike, which is harder than it looks. Brookhart's 2018 review of rubric research lists a 2009 study in which three graders scored 40 papers. Their rubric had eight criteria and four levels, like this scorecard. They gave exactly the same score 37% of the time2, though they were within one level of each other 90% of the time.

  1. Pick three closed deals

    Recent ones, one won and two lost. Because they're closed, nobody is scoring their own live deal.

  2. Share one evidence bundle

    Identical transcripts, notes and emails for everyone, names removed, nothing added from memory.

  3. Score alone, then compare

    Everyone scores all eight elements in silence, then posts their scores.

  4. Read the spread

    Highest minus lowest: 0 or 1 is tight, 2 is loose, and 3 means the wording measures the scorer.

  5. Fix the word and rerun

    Replace the word people read two ways with something observable, then rescore the same deals.

The University of Hawaiʻi at Mānoa's assessment office calls this norming. Scorers rate the same work independently, the coordinator displays everyone's ratings so everyone can see the degree of agreement5, and those who differ explain why, citing the rubric.

Agreement isn't enough. If an element scores 3 on almost every deal, it can't tell your deals apart, even when every scorer agrees. Rewrite it to grade something that varies, such as whether the pain has a named owner and a cost.

Coach from the gaps, not the averages

Work through a deal's weak scores in this order: unsourced, expired, never asked, then genuinely low. Unsourced scores are the cheapest fix, because the rep often knows the answer and never wrote it down.

Don't rank reps by their average score. A rep selling to public bodies with published timetables tends to outscore one working inbound leads, and neither fact is about the rep. Skip targets for 3s too: you'll get 3s, whether or not the evidence exists.

Before a deal goes into commit

  • Every element has a score, a source, a named person and a date
  • No score is past its clock, and no named contact has left
  • Economic Buyer rests on the buyer's own words, not a contact's
  • Champion rests on something they did when you weren't there
  • The deal clears its gate on current evidence, not the recorded total

Good scores start with good calls: a discovery call template plans the questions, and a stakeholder and champion map shows who said what about whom. For a faster start, open this template with Edit with AI. River scores your open deals from your call notes and emails, with a source and date on each.

How to use this template

The files work on their own, or you can open them in River. River asks for your open pipeline as you export it, the call transcripts, notes and emails behind it, and three or four closed deals. It rescores every deal from that record, with the source, person and date behind each score, and shows each deal's total on everything recorded beside its total on current evidence.

Where your CRM and the record disagree, River keeps both and says how far apart they are. It marks a score with no evidence as unsourced rather than guessing, never turns a blank into a zero, and offers to set up your first calibration round.

  1. Download it or open it in River

    Download the four Word documents and four CSV sheets with no account, or open them all in River to work with AI.

  2. Send your deals and the record

    Share your pipeline export, call transcripts, notes and emails, a few closed deals, and your current rubric and gates.

  3. River rescores every deal

    Each score is tied to a source, a named person and a date, or marked unsourced. Each deal gets a total on current evidence.

  4. Calibrate, then keep it current

    Run a calibration round on the closed deals, edit the files, or ask River to change anything.

What's in the template

The commit number, read twiceQualification Read by Deal with a total on everything recorded and a total on current evidence, the calibration round that fixed two elements in one sentence each, and the distribution that exposes an element separating nothing.
MEDDICC Deal Qualification Scorecard
RiverQualification Read

Qualification Read by Deal

Illustrative rows for Norbury Systems, a fictional field service software vendor. Expired and unsourced scores count as zero in the current column, whatever number sits in the cell.

DealAccountValueStageRecordedCurrentFallGate
N-2134Pentworth Council310,000Commit2011-9Fails
N-2102Erskine Water240,000Commit2214-8Fails
N-2041Cadwell Utilities186,000Commit219-12Fails
N-2088Marchwood Group156,000Commit2220-2Passes
N-2150Ashmore Logistics96,000Qualify1312-1Fails
N-2117Balfern Estates52,000Validate1615-1Passes

Two failures that read identically in a total. Cadwell fails on the total and needs four things. Ashmore passes on the total and fails on one required element, because its Economic Buyer is a job title typed into a web form. That deal needs one call.

Roll-up: £736,000 of the £892,000 in commit falls below its own gate. Cadwell's largest single problem is an Economic Buyer score sourced to an April call and a Champion score with no artifact behind it at all.

RiverRater Calibration

Rater Calibration

Five raters, three anonymised closed deals, one identical evidence bundle each, scored silently before anybody spoke.

ElementR1R2R3R4R5SpreadVerdict
Economic Buyer033133Unusable
Champion031323Unusable
Decision Process132212Loose
Metrics333231Tight
Identify Pain333330Agreed and uninformative

A spread of 3 on a four-point scale is the full range. Economic Buyer and Champion were also the two elements the old commit gate required at full marks, so the gate was being decided by the two things the team could not measure.

The fix was one sentence each, not training. Confirmed meant we have met them to three raters and they have said they sign it to two. Champion did not distinguish friendly from advocating. Rewritten to name an observable, re-run on the same three deals: both spreads fell to 1.

A spread of 0 is not automatically good. Identify Pain agreed perfectly because everybody always scores it 3, which is a constant rather than a calibrated element. That is the failure that hides best.

RiverElement Discrimination

Element Discrimination

Distribution of every element across 68 open deals, cross-referenced against the rater spread from the calibration round.

Element0123BlankModalSpreadVerdict
Identify Pain01661090%0No resolution
Economic Buyer392432047%3Spread without agreement
Champion2112629043%3Spread without agreement
Paper Process038134465% blank2Not scored
Metrics4122923043%1Discriminating
Decision Process9222710040%2Discriminating

Three failures, three different owners. No resolution is a rubric problem. Spread without agreement is a rubric problem the distribution hides, because it looks healthy from a distance and the calibration round is the only thing that catches it. Not scored is neither: the element works and nobody asks, so it goes to the call agenda.

Competition sits at 3 on 36 of 68 deals in a market with two live competitors. The distribution passes and the number is still worth a look, because a 3 awarded for assuming the incumbent is an assumption, which is a 0.

  • Element DefinitionsThe 0-to-3 levels for all eight elements, the evidence each level needs, each element's clock and the stage gates.
  • Calibration StandardHow to run a 90-minute calibration round each quarter, and how to read the spread on each element.
  • Coaching GuidanceWhat a low score means for each element, and the order to work through a deal's gaps.
  • Instrument ReadA one-page quarterly review: do scorers agree, does each element separate deals, and how old is the evidence?
  • Scorecard sheetOne row per element per deal: the score, its source, who said it, the date, its age and status.
  • Qualification Read by Deal sheetEach deal's total on everything recorded beside its total on current evidence, with the gate verdict.
  • Rater Calibration sheetEvery scorer's marks on the same closed deals, the spread on each element and where they disagree.
  • Element Discrimination sheetHow each element scores across your open deals, flagging any that score the same on almost every deal.

Common questions

What is a MEDDICC scorecard?

A MEDDICC scorecard is a sheet that rates each open deal on the MEDDICC elements, often from 0 to 3. It shows a sales team which deals are qualified and what each one is missing. The useful ones record the evidence behind every score and set the minimum a deal needs at each stage.

What's the difference between MEDDIC, MEDDICC and MEDDPICC?

MEDDIC is the original six: Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain and Champion. MEDDICC adds Competition. MEDDPICC adds Paper Process, the steps from a yes to a signature, and some trainers call its pain element Implicate the Pain. This template scores all eight; if you use fewer, drop those rows and lower the gate totals to match.

What score should a deal need before commit?

In this template, a deal enters commit with every element at 2 or better and a total of at least 18 out of 24, counting only current, sourced evidence. It asks for 2 across the board rather than 3, because a gate that demands full marks on elements reps score inconsistently tends to get waived.

How often should you update MEDDICC scores?

Update a score whenever new evidence arrives, and recheck it on a clock set by how fast that element changes. The template uses 45 days for Economic Buyer, Champion, Decision Process and Competition, 90 days for Decision Criteria and Paper Process, and 180 days for Metrics and Identify Pain. A contact leaving expires their scores at once.

How do you get reps to score deals the same way?

Have everyone score the same few closed deals from the same evidence, alone, and then compare. When one element's scores cover the whole scale, the wording is usually to blame, not the reps. Rewrite that level as something you can see in the record, then rescore the same deals to check that the gap closed.

Is this MEDDICC scorecard template free?

Yes. You can download all four Word documents and four CSV sheets without an account. The sheets hold example scores for a made-up field service software company, so you can see how the scoring works before you clear them and add your own deals. Edit with AI opens the same files in a free River workspace.

What does Edit with AI do?

It opens the template in a free River workspace. River asks for your open pipeline, the call notes, transcripts and emails behind it, and a few closed deals. It rescores each deal from that record, dates each score from the call or email behind it, and shows what your commit number looks like when only current evidence counts.

Sources

  1. Meddicc. “MEDDPICC Sales Methodology: Acronym & Meaning.” meddicc.com (opens in a new tab)

  2. Frontiers in Education. “Appropriate Criteria: Key to Effective Rubrics.” frontiersin.org (opens in a new tab)

  3. Meddicc. “Read Sales Champion Definition, Characteristics & Method.” meddicc.com (opens in a new tab)

  4. Meddicc. “What is Paper Process?” meddicc.com (opens in a new tab)

  5. University of Hawaiʻi at Mānoa. “Creating and Using Rubrics.” manoa.hawaii.edu (opens in a new tab)

Written by

Chandler Supple

Co-founder & CEO, River

Chandler has spent the last six years working in AI, building tools for millions of users and Fortune 100 companies. In 2025, he co-founded River to build a new kind of operating system for AI agents.

Reviewed by

Brian Joseff, Co-founder, River