MEDDPICC Template — Free Download, Salesforce + HubSpot Field Maps, AI Auto-Fill (2026)

What a MEDDPICC template should include

Most meddpicc template downloads on the internet are useless. They are decorative — eight boxes with the letters labelled, a colour gradient at the top, and no place for the rep to record the one thing that actually matters: the direct buyer quote that justifies the score. A good MEDDPICC template is not a poster. It is an evidence container.

The template you actually use, whether in Salesforce, HubSpot, Excel, or a Notion page, should capture five things per deal:

• Score — a 0–3 rating for each of the 8 dimensions.
• Evidence — a direct buyer quote (or paraphrase with source attribution) that justifies the score.
• Gap — what is missing to move the score up one level.
• Next-step action — what the rep is doing this week to close the gap.
• Owner — the named person responsible for closing each gap.

Without the Evidence column, every score is rep hope. The score becomes a number the rep invents at quarter-end to unblock a stage gate. With Evidence, the score is auditable — a manager can read the buyer quote and verify the score honestly. This is the difference between MEDDPICC adoption and MEDDPICC theatre. For the underlying framework see our full guide to what MEDDPICC is.

The other requirement is that the template lives where the deal lives. A standalone Excel file the rep updates monthly is not adoption. The template has to be inside the CRM next to the opportunity record, or it has to be auto-populated from another system the rep already uses (a call transcript, a meeting note). Anything else dies in 90 days.

The 8 fields every MEDDPICC template needs

Every MEDDPICC template — whether in Salesforce, HubSpot, a spreadsheet, or auto-populated by AI — captures the same eight fields. Here is what each field stores and the 0–3 rubric we recommend.

1. Metrics (M)

Stores: the quantified outcome the buyer expects, in their own words. Example value: "cut rep ramp time from 9 to 5 months by Q3."

0–3 rubric: 0 = no number; 1 = generic industry metric mentioned by rep; 2 = specific metric stated by buyer, no EB validation; 3 = specific, time-bound, validated by the Economic Buyer.

2. Economic Buyer (E)

Stores: the named person with budget authority — title, contact details, number of times met.

0–3 rubric: 0 = unnamed; 1 = named, not met; 2 = met once, neutral; 3 = met multiple times, verbally aligned, willing to advocate internally.

3. Decision Criteria (D)

Stores: the explicit list of requirements the buyer will use to compare vendors (technical, commercial, risk).

0–3 rubric: 0 = no criteria stated; 1 = generic ("integrations, price, support"); 2 = specific but inherited from another vendor; 3 = specific, shaped by you, aligned with your differentiation.

4. Decision Process (D)

Stores: the sequence of steps from "we like it" to "money moves" — named approvers, approval dates, mutual action plan link.

0–3 rubric: 0 = "this quarter" only; 1 = named stakeholders, no dates; 2 = milestones + owners + approximate dates; 3 = mutual action plan with CFO calendar slot booked.

5. Paper Process (P)

Stores: legal, security, procurement steps — MSA status, DPA status, SOC 2 review status, vendor onboarding, vendor code.

0–3 rubric: 0 = not discussed; 1 = acknowledged, no detail; 2 = security questionnaire received and answered, MSA template identified; 3 = legal review scheduled, security cleared, vendor code assigned.

6. Identify Pain (I)

Stores: the quantified cost of inaction — what the buyer loses by not buying, in the buyer's own words.

0–3 rubric: 0 = pain unnamed; 1 = rep-stated, buyer acknowledged; 2 = buyer-stated qualitatively; 3 = buyer-quantified ("we are losing $X per quarter").

7. Champion (C)

Stores: the named internal advocate with tested influence — name, role, last completed ask.

0–3 rubric: 0 = no advocate; 1 = friendly contact, untested; 2 = one small ask delivered; 3 = delivering meetings, sharing internal documents, defending you in deal reviews.

8. Competition (C)

Stores: named alternative vendors plus the do-nothing alternative, with differentiation notes per competitor.

0–3 rubric: 0 = competition unknown; 1 = named alternatives known, do- nothing live; 2 = alternatives differentiated, do-nothing addressed but not closed; 3 = do-nothing eliminated with a quantified urgency case.

Free MEDDPICC template — paste-ready markdown table

Copy the table below directly into a Notion page, a Google Doc, a deal-review meeting agenda, or your CRM's notes field. It renders cleanly as a markdown table in every modern note-taking tool. For the spreadsheet version, scroll down to the Excel / Google Sheets section.

# MEDDPICC Scorecard

**Deal:** [Account Name] — [Opportunity Name]
**ACV:** $[xxx,xxx]
**Stage:** [stage]
**Scored by:** [AE name]    **Date:** [YYYY-MM-DD]

| # | Dimension          | Score (0–3) | Evidence (buyer quote)           | Gap to next level | Next-step action     | Owner    |
|---|--------------------|-------------|----------------------------------|-------------------|----------------------|----------|
| M | Metrics            | _ / 3       | "..."                            |                   |                      |          |
| E | Economic Buyer     | _ / 3       | "..."                            |                   |                      |          |
| D | Decision Criteria  | _ / 3       | "..."                            |                   |                      |          |
| D | Decision Process   | _ / 3       | "..."                            |                   |                      |          |
| P | Paper Process      | _ / 3       | "..."                            |                   |                      |          |
| I | Identify Pain      | _ / 3       | "..."                            |                   |                      |          |
| C | Champion           | _ / 3       | "..."                            |                   |                      |          |
| C | Competition        | _ / 3       | "..."                            |                   |                      |          |

**TOTAL SCORE: __ / 24**

**Forecast category:** [pipeline / upside / commit]
**Lowest dimension:** ____________
**This week's action:** ____________

The template above is intentionally minimal. It does one thing well: it forces the rep to paste a buyer quote into the Evidence column for every score above 0. If the rep cannot find a quote, the score is 0 — full stop. That single rule kills 90% of MEDDPICC theatre.

For a guided browser version that walks through each dimension and outputs a structured score with action recommendations, use the free MEDDPICC qualifier tool — it runs in the browser, stores nothing server-side, and is useful for ad-hoc deal reviews or for training new reps on the rubric.

How to fill out each MEDDPICC field with real evidence (not rep hope)

The single biggest mistake reps make filling out a MEDDPICC template is treating it as a self-report. They assign a 3 because the deal "feels strong," not because the buyer has said anything that justifies a 3. Here is the discipline that separates auditable MEDDPICC from MEDDPICC theatre.

The Evidence Rule

For every score above 0, the rep must paste a direct buyer quote (or a paraphrase with call timestamp and speaker attribution) into the Evidence column. No quote = score of 0. This is non-negotiable.

The "Whose words?" test

For Metrics, Identify Pain, and Decision Criteria specifically, the rule is harsher: the evidence must be in the buyer's words, not the rep's. "We're losing $200K to slow ramp" from the VP Sales scores 3. "I told them they could save $200K and they said yeah that makes sense" scores 1 — that is rep-stated pain with polite acknowledgement, not buyer-owned pain.

The Two-Call Rule for Metrics

A Metric scores 3 only if the buyer restates the number on a second call. First-mention metrics are often offhand and not internally validated. Buyers who restate the same number across two conversations have aligned it with their internal narrative — that is what makes the metric defensible against their CFO.

The Tested-Ask Rule for Champion

A Champion scores 2 or higher only if the rep has given them a small ask and watched them deliver. "Can you set up 30 minutes with your VP next week?" is a tested ask. If they delivered, score 2. If they keep delivering (meetings, internal documents, defending you in deal reviews), score 3. A likeable contact who has never been asked to do anything scores 1.

The Do-Nothing Test for Competition

For Competition, the rep must explicitly answer "why now versus 6 months from now?" If there is no concrete answer, Competition is at most 1 — regardless of how few named vendors are in the deal. The do-nothing alternative is the #1 competitor in B2B SaaS, as documented in our analysis of why prospects ghost after a demo.

MEDDPICC template for Salesforce — field mapping and validation rules

A MEDDPICC template inside Salesforce is a set of custom fields on the Opportunity object plus validation rules that gate stage transitions. Here is the canonical field map we recommend.

Custom fields to create on the Opportunity object

• MEDDPICC_Metrics__c — picklist (0, 1, 2, 3)
• MEDDPICC_Metrics_Evidence__c — long text area (255+)
• MEDDPICC_Economic_Buyer__c — picklist (0, 1, 2, 3)
• MEDDPICC_Economic_Buyer_Evidence__c — long text area
• MEDDPICC_Decision_Criteria__c — picklist (0, 1, 2, 3)
• MEDDPICC_Decision_Criteria_Evidence__c — long text area
• MEDDPICC_Decision_Process__c — picklist (0, 1, 2, 3)
• MEDDPICC_Decision_Process_Evidence__c — long text area
• MEDDPICC_Paper_Process__c — picklist (0, 1, 2, 3)
• MEDDPICC_Paper_Process_Evidence__c — long text area
• MEDDPICC_Identify_Pain__c — picklist (0, 1, 2, 3)
• MEDDPICC_Identify_Pain_Evidence__c — long text area
• MEDDPICC_Champion__c — picklist (0, 1, 2, 3)
• MEDDPICC_Champion_Evidence__c — long text area
• MEDDPICC_Competition__c — picklist (0, 1, 2, 3)
• MEDDPICC_Competition_Evidence__c — long text area
• MEDDPICC_Total_Score__c — formula (number), sums the 8 picklists

Validation rules

1. Block stage = "Proposal" unless all 8 MEDDPICC picklists are non-null.
2. Block stage = "Negotiation" unless MEDDPICC_Total_Score__c >= 12.
3. Block ForecastCategory = "Commit" unless MEDDPICC_Total_Score__c >= 18.
4. For each dimension > 0, require the corresponding Evidence field to be non-empty (length > 10 characters).

Dashboard structure

Build a manager-level dashboard with three core components: (a) average MEDDPICC score by rep over time, (b) commit-category deals with score under 18 (sandbag risk), (c) a dimension-level heatmap showing which letter is consistently lowest across the team. Cluster (c) is the most valuable — it tells the manager which coaching investment moves the most pipeline.

For deeper integration between MEDDPICC scoring and real-time call coaching, see our guide to sales performance tracking with AI.

MEDDPICC template for HubSpot — Deal property mapping

HubSpot uses Deal properties rather than Salesforce-style custom fields, but the structure is identical. Below is the canonical mapping for HubSpot Sales Hub Professional and Enterprise.

Deal properties to create

• meddpicc_metrics — dropdown (0, 1, 2, 3)
• meddpicc_metrics_evidence — multi-line text
• meddpicc_economic_buyer — dropdown (0, 1, 2, 3)
• meddpicc_economic_buyer_evidence — multi-line text
• meddpicc_decision_criteria — dropdown (0, 1, 2, 3)
• meddpicc_decision_criteria_evidence — multi-line text
• meddpicc_decision_process — dropdown (0, 1, 2, 3)
• meddpicc_decision_process_evidence — multi-line text
• meddpicc_paper_process — dropdown (0, 1, 2, 3)
• meddpicc_paper_process_evidence — multi-line text
• meddpicc_identify_pain — dropdown (0, 1, 2, 3)
• meddpicc_identify_pain_evidence — multi-line text
• meddpicc_champion — dropdown (0, 1, 2, 3)
• meddpicc_champion_evidence — multi-line text
• meddpicc_competition — dropdown (0, 1, 2, 3)
• meddpicc_competition_evidence — multi-line text
• meddpicc_total_score — calculation property, sums the 8 dropdowns

Workflow automation

1. If meddpicc_total_score < 12 and deal stage is past Qualifying, send a Slack alert to the AE and revert deal stage.
2. If meddpicc_total_score >= 18, unlock the "Decision Maker Bought-In" stage.
3. Weekly digest: send the manager a list of deals where any single dimension is 0 but the total score implies the deal is "advancing."

One HubSpot-specific advantage: the calculation property updates in real time, so the Total Score is always current. The downside is that HubSpot has no native concept of "validation rules block stage transition" — you have to enforce that through workflows, which gives reps a brief window to advance bad deals before the workflow fires. Account for that in the manager review cadence.

MEDDPICC template for Excel / Google Sheets

For teams without a mature CRM, or for ad-hoc deal reviews, an Excel / Google Sheets template works fine as a starting point. The structure mirrors the markdown template above, with one row per opportunity and the eight dimensions as columns.

Recommended sheet structure

Use one tab per opportunity (not one row per opportunity) for active commit deals. The single-tab-per-deal layout gives each dimension enough room for the evidence quote, gap description, and action — which is what makes the template auditable in a forecast call.

For an inventory view across the full pipeline, use a second tab with one row per opportunity and just the scores (no evidence columns). The inventory tab is the "manager view"; the per-deal tabs are the "AE view."

Column structure for the per-deal tab

• Column A: Dimension label (M, E, D, D, P, I, C, C)
• Column B: Score (0–3) — use data validation to restrict input
• Column C: Evidence (buyer quote with timestamp)
• Column D: Gap to next level
• Column E: Next-step action
• Column F: Owner
• Column G: Date scored
• Row 11: =SUM(B2:B9) for Total Score

Conditional formatting

Apply red-amber-green to Column B based on score: 0 = red, 1 = amber, 2–3 = green. Apply the same conditional formatting to the Total Score cell using the bands from our MEDDPICC guide: 0–8 red (kill or rework), 9–15 amber (developing), 16–20 light green (strong upside), 21–24 dark green (commit).

The spreadsheet version is a fine bridge for small teams, but it has a hard ceiling. Pipelines above roughly 40 active opportunities cannot be maintained in a spreadsheet without becoming the rep's full-time job. At that point the field-mapping approach (Salesforce or HubSpot) is the correct evolution — and beyond that, AI auto-population is the only sustainable answer.

How AI auto-populates MEDDPICC templates from call transcripts

Every team that rolls out MEDDPICC discovers the same problem 90 days in: reps will not maintain 16 custom fields after every call. They skip the evidence quote, backfill the score at quarter-end, or fabricate to unblock a stage gate. The framework looks adopted in dashboards and is not adopted in reality.

Conversation intelligence platforms like Nimitai solve this by listening to every sales call and writing the MEDDPICC score and supporting evidence quote directly into the corresponding CRM fields after each call. The rep does not maintain anything; the template fills itself.

Here is the dimension-by-dimension mapping of what the AI listens for and how it scores:

The result is a MEDDPICC template that updates after every call without anyone touching Salesforce or HubSpot. Managers see real scores in real time, not the fictional ones reps backfill at quarter-end. This is the only sustainable answer to the 90-day adoption problem — and it is the reason most teams that have tried MEDDPICC twice in their career describe the second attempt as "MEDDPICC plus conversation intelligence."

For broader context on how AI fits into discovery and qualification, see our guide to AI sales meeting prep and our sales qualification framework overview.

Common MEDDPICC template mistakes that kill forecast accuracy

Across the teams we have watched implement MEDDPICC templates — in Salesforce, HubSpot, spreadsheets, and Notion — the same mistakes show up repeatedly. Avoid these eight.

For the broader set of MEDDPICC adoption traps, including the methodology-level mistakes that go beyond template design, see the pitfalls section of our MEDDPICC framework guide. For the discovery questions that produce the evidence the template captures, see our MEDDPICC discovery questions playbook.

Frequently asked questions about MEDDPICC templates

What is a MEDDPICC template?

A MEDDPICC template is a structured scorecard that captures the eight MEDDPICC qualification dimensions — Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Identify Pain, Champion, Competition — for a single B2B sales opportunity. A usable template has three things: a 0–3 score for each dimension, an evidence field where the rep records the direct buyer quote that justifies the score, and a next-step action field.

Where can I download a free MEDDPICC template?

The paste-ready markdown template in the section above is free and requires no signup. For a guided browser tool that walks through each dimension, use the free MEDDPICC qualifier. For an auto-populated template that fills itself from your call transcripts, see Nimitai's AI meeting assistant.

What fields should a MEDDPICC template have in Salesforce?

Eight custom picklist fields (one per dimension, values 0–3), eight long-text evidence fields, and one formula field that sums the 8 picklists into a Total Score out of 24. Add validation rules blocking stage transitions unless dimensions are scored.

What fields should a MEDDPICC template have in HubSpot?

Eight Deal dropdown properties (one per dimension, values 0–3), eight multi-line text properties for evidence, and one calculation property for the Total Score. Tie the Total Score to deal-stage workflow automations to enforce the gate.

Can AI auto-fill a MEDDPICC template?

Yes. Conversation intelligence platforms like Nimitai listen to every sales call and write the score and the supporting evidence quote directly into the corresponding Salesforce or HubSpot fields after each call. This eliminates the manual data-entry problem that kills MEDDPICC adoption within 90 days for most teams.