MEDDPICC scorecard

Sales tools

MEDDIC extended with Paper Process and Competition for enterprise deals with heavy procurement.

MEDDPICC adds two dimensions to MEDDIC, the Paper Process (legal and procurement) and Competition, for enterprise deals where the buying process itself is a major risk to the close.

Where MEDDPICC came from

MEDDPICC is the extended form of MEDDIC, the qualification method that Dick Dunkel and Jack Napoli built at PTC (Parametric Technology Corporation) in the mid 1990s to bring discipline to high value software deals. As enterprise buying grew more complex, two letters were added: a second C for Competition (giving MEDDICC) and a P for the Paper Process (giving MEDDPICC). The extended framework was carried into the wider sales world largely by Andy Whyte, founder and CEO of the MEDDICC organization, whose 2020 book "MEDDICC" is the reference many teams learn it from, co-written with a foreword and commentary from the original creators Dunkel and Napoli.

MEDDIC on its own scores whether you have found the money, the buyer, the criteria, the pain and the internal advocate, but large enterprise deals kept slipping at the very end for reasons those six letters do not track. Contracts stalled inside legal, security and procurement review, and deals were quietly lost to a competitor or to a "do nothing" alternative that the seller never named. Adding the Paper Process and Competition closed those gaps, and the result is a small family of variants you can dial up or down: MEDDIC (six), MEDDICC (seven), and MEDDPICC (eight), where the extra letters buy more rigor at the cost of more to fill in.

What each part of MEDDPICC means

  • Metrics: the quantified economic value your solution delivers, tied to numbers the customer already cares about. Common mistake: settling for a generic "improve efficiency" instead of a figure the buyer will defend internally.
  • Economic Buyer: the person with real authority over the budget and the final yes. Common mistake: mistaking a friendly manager for the true budget holder and never reaching the person who can actually sign.
  • Decision Criteria: the technical, business and relationship requirements the buyer will judge vendors against. Common mistake: guessing the criteria rather than getting them stated, or failing to shape them toward your strengths.
  • Decision Process: the sequence of steps, meetings and approvals the buyer follows to reach a decision. Common mistake: confusing this with the paper process and assuming a verbal yes means the deal is done.
  • Paper Process: the legal, security and procurement steps that turn a decision into a signature, with their real timeline and owners. This is one of the two letters that distinguishes MEDDPICC. Common mistake: discovering procurement, redlines or a vendor onboarding gate only at quarter end, after forecasting the deal as closed.
  • Identify Pain: the specific, consequential problem that makes doing nothing more costly than acting. Common mistake: naming a mild inconvenience rather than a pain severe enough to unlock budget and urgency.
  • Champion: an internal person with power, influence and credibility who sells for you when you are not in the room. Common mistake: treating a friendly contact or coach who lacks real influence as a champion, and never testing whether they can actually move the deal.
  • Competition: every alternative competing for the same budget, including rival vendors, an internal build, and the status quo. This is the other letter that distinguishes MEDDPICC. Common mistake: tracking only the obvious named competitor while ignoring "do nothing," which is often the alternative that actually wins.

When to use MEDDPICC (and when not to)

MEDDPICC fits large, complex enterprise deals where the buying process itself, not just the buyer's interest, is the biggest risk to the close. Reach for it when procurement, legal and security review are heavy, the buying group is large, and one or more competitors (including the status quo) are actively in play. It is usually too heavy for small, fast or transactional sales, where the extra Paper Process and Competition fields add friction without changing the outcome.

  • Best fit: six figure enterprise deals with formal procurement, redlines and multi stakeholder sign off.
  • Best fit: competitive displacement or evaluation where you must actively differentiate against named rivals.
  • Too heavy: short sales cycles, self serve or SMB motions where a lighter method like MEDDIC or BANT is enough.

Strengths of MEDDPICC

  • Surfaces the deal killers that live at the end of the cycle, especially the Paper Process, so late stage surprises turn into planned steps.
  • Forces an honest read of Competition, including the "do nothing" option, rather than assuming the deal is a two horse race.
  • Gives a shared vocabulary and scoring rhythm that makes deal reviews and forecasts more consistent across a team.
  • Exposes gaps early: an unqualified Economic Buyer or a weak Champion becomes visible before you have invested a full cycle.
  • Scales down cleanly to MEDDIC or MEDDICC when a deal does not warrant all eight letters.

Limitations of MEDDPICC

  • Eight letters are heavy: filling every field takes time and discipline, and teams often reduce it to a checklist that is completed for the CRM rather than acted on.
  • It is a qualification and inspection framework, not a full sales process; it tells you what to know, not how to run the conversation or run discovery.
  • Overkill for small, fast or high volume deals, where the added rigor slows reps without improving win rates.
  • Quality depends on honest input: a rep who inflates the Champion or the Economic Buyer produces a green scorecard that hides a weak deal.
  • Adoption needs coaching and manager reinforcement; without it, the framework decays into jargon and unused fields.

How to score a deal with this MEDDPICC scorecard

FactorWhat it checks
MetricsHave you quantified the economic impact (metrics) of solving this?No
Economic BuyerHave you identified and accessed the person who controls the budget?Yes
Decision CriteriaDo you know the criteria they'll use to choose a vendor?No
Decision ProcessDo you understand the steps and approvals to a signed deal?No
Paper ProcessDo you understand the legal / procurement (paper) process and its timeline?No
Identify PainHave you identified a pain significant enough to drive action?No
ChampionDo you have an internal advocate who sells on your behalf?No
CompetitionDo you know who you're competing against and your differentiation?No
  1. Rate each factor from 0 (unknown or none) to 3 (strong or confirmed).
  2. The tool computes a weighted score out of 100 as you go.
  3. Read the verdict: Qualified (67% and up), Nurture (34% and up), or Disqualify (below 34%).
  4. Work the weakest factors first. Each gap comes with the question to ask on your next call.
  5. Copy the summary into your CRM, or share the link with your manager for a second opinion.

When a deal cannot be Qualified

If one of them scores 0, for example no budget or no access to a decision-maker, the verdict is capped at Nurture no matter how high the total is. That keeps a shiny score from hiding a deal-breaker.

Automate MEDDPICC scoring, or compare it with the other qualification frameworks in this family:

Sources

Operated by

Turnint AI
unbounded pioneering inc

Turnint AI Tools is a suite of free tools built and operated by unbounded pioneering inc, the company behind the Turnint AI agent platform.

Ryosuke Suzuki
Ryosuke SuzukiFounder & CEO

Founder & CEO of Unbounded Pioneering Inc., the company behind the Turnint AI agent platform, and an expert in machine learning and AI product development. He began his career in machine learning research at a university laboratory, then designed and built large-scale products as a software engineer at PLAID, Rakuten, and Recruit, while also driving new business development. Now specializing in generative AI and AI agents, he works across both engineering and business development, and is a named inventor on multiple granted patents in web technology.

Named inventor on granted patents JP6887648 & JP7480958 · Patent pending on Turnint AI technology

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