Pipeline diagnostics · v1

Is this pipeline
actually any good?

One question, broken into a tree. Each level below fully explains the level above — mutually exclusive, collectively exhaustive — and every step down trades judgment for arithmetic, until the leaves are single numbers you pull straight from a report.

ROOT Pipeline quality = P( this pipeline delivers the number, on time )
Not "how big is it" — how much of it will really close, fast enough, and can you trust the record that says so.

Built for the pipeline in HubSpot CRM-agnostic — every leaf is one field you can report on 4 named frameworks + 1 combined

Level 1A judgment. “Is the pipeline healthy?”

Level 2A ratio you assemble. “Is coverage enough vs. quota?”

Level 3One number you pull. open pipe ÷ quota = 3.4×

How to read every tree here

Three rules, one gradient.

The same discipline is applied to all five frameworks below, so you can compare them like-for-like.

Rule 01 — MECE

Siblings don't overlap.

At every fork, the children are mutually exclusive and, together, cover the parent completely. No double-counting, no gaps.

Rule 02 — Roll-up

Children explain the parent.

A parent is nothing more than its children combined. Fix the leaves and the number above them moves — that's the whole point.

Rule 03 — Gradient

Deeper = easier to measure.

The dot meter shows it: 1 dot = a judgment (indigo), 3 dots = a single number (amber). Argue at the top, act at the leaves.

target met watch red — has an action attached (see the last section)

The frameworks, as trees

Four ways the field measures pipeline quality — then ours.

There's no single anointed standard. These four dominate the RevOps / B2B-sales literature; each is genuinely good at one thing and blind to another. Flip between them, then see how the combined tree folds the best of each into one MECE structure you can operate.

The idea

SAMH — a pipeline must pass four gates: it's enough, it's real, it's moving, and the record is clean. Four pillars, three levels, all leaves are pullable.

Best at

Being MECE and measurable and actionable at once — a standing operating system, not a one-off audit.

PIPELINE QUALITY = Sufficiency · Authenticity · Momentum · Hygiene (enough · real · moving · clean)

Pipeline Qualitywill it deliver the number, on time?
- 1 · Sufficiency“Is there enough?”
  - Quota coverage
    - Coverage ratioopen pipe $ ÷ quota≥ 3× (tune to win-rate)
    - Weighted coverageΣ(deal × stage-prob) ÷ quota≥ 1.0×
  - Replenishment
    - New pipe created / period$ opened this month≥ 1× period quota
    - Creation-to-close ratiocreated ÷ (won + lost)≥ 1.0
  - Concentration risk
    - Top-3-deal sharetop 3 deals $ ÷ total pipe< 40%
    - Reps below coverage# reps < 3× coverage0
- 2 · Authenticity“Is it real & winnable?”
  - Qualification depththis is where MEDDPICC lives — deal evidence, rolled up
    - Economic buyer identified% deals past stage 2 with EB set≥ 80%
    - Champion + pain documented% deals with both fields filled≥ 70%
  - Buyer engagement
    - Recent buyer activity% deals with buyer touch < 14 days≥ 75%
    - Multi-threadingavg active contacts / deal≥ 2 (single-thread = risk)
  - Fit
    - ICP match% deals flagged ICP-fit≥ 80%
    - Size sanitydeal $ ÷ won-medianwithin 0.3–3×
- 3 · Momentum“Is it moving in time?”
  - Conversion
    - Stage-to-stage conversiondeals advanced ÷ entered stage≥ your baseline (30–60%)
    - Win ratewon ÷ (won + lost)≥ 20% or baseline
  - Speed
    - Days-in-stage vs benchmarkavg age in stage ÷ benchmark≤ 1.25×
    - Cycle-length trendavg days-to-close, MoMflat or falling
  - Stall
    - Aged deals% deals older than 2× avg cycle< 15%
    - Close-date slippageavg # of push-outs / deal≤ 1
- 4 · Hygiene“Can we trust the record?”
  - Completeness
    - Required fields set% deals with amount + close date + stage≥ 95%
    - Next step logged% deals with a future task/meeting≥ 90%
  - Freshness
    - Recently touched% deals updated < 7 days≥ 80%
    - Overdue close dates% open deals with close date in the past0%
  - Consistency
    - Stage ↔ activity match% deals in “negotiation” with no proposal sent< 5%
    - Duplicates / orphans# dupe or owner-less deals≈ 0

Why this one. It keeps the exec clarity of the 3 Questions (framework 4), but splits “real” into Authenticity (the deal is genuine) and Hygiene (the record is genuine) — two different failure modes that the 3-Question view quietly blends. The Authenticity branch is where MEDDPICC's deal evidence rolls up; the Momentum branch is Pipeline Velocity's win-rate and cycle levers. Nothing is invented — it's the four standards, made mutually exclusive.

Honest comparison

Where each one wins, and where it goes blind.

None is wrong — they're built for different rooms. The combined framework isn't a fifth opinion; it's the other four made mutually exclusive so you can run all of them from one tree.

Framework	Wins at	Goes blind on	Use it when
Pipeline Velocity 1 · the 4 V's	One number; names the lever to pull	Deal reality; data trust; averages hide sick deals	Board & forecast math
5-Dimension Scorecard 2 · health	Weekly operational triage; five clear fixes	Velocity/aging overlap; no data-trust axis	RevOps Monday review
MEDDPICC 3 · deal evidence	Forecast accuracy; kills happy-ears deals	Heavy; ignores volume/coverage; can slow velocity	Enterprise AE deal reviews
The 3 Questions / PQI 4 · exec lens	Dead simple; fits in your head	Too coarse to act; “real?” is overloaded	Leadership stand-up
SAMH ★ combined	MECE + measurable + actionable at once	More to instrument up front (one-time)	Your default operating system

The combined framework, made operational

SAMH as a HubSpot scorecard you can run Monday.

Every leaf becomes one saved HubSpot view. Green = target met. Red comes with an action — this is where the tree stops being a diagram and starts being a to-do list.

Pillar	Signal (leaf)	Pull from HubSpot	Target	If it's red →
Sufficiency	Coverage ratio	Σ open amount ÷ quota	≥ 3×	Turn on generation: SDR blitz, revive closed-lost, book more first-meetings
Sufficiency	Concentration	top-3 ÷ total pipe	< 40%	De-risk the forecast; don't let one whale carry the quarter
Authenticity	Economic buyer set	% past stage 2 w/ EB	≥ 80%	Coach reps to get above the champion; deals without an EB stall late
Authenticity	Multi-threading	avg contacts / deal	≥ 2	Single-threaded deals: assign a second-contact action this week
Authenticity	Recent buyer activity	% touched < 14d	≥ 75%	Quiet deals get a re-engage play or a downgrade — don't forecast ghosts
Momentum	Stage conversion	advanced ÷ entered	≥ baseline	Find the leaking stage; inspect exit criteria & rep skill there
Momentum	Aged deals	% > 2× avg cycle	< 15%	Force a decision: advance, set a real date, or close-lost. Stale ≠ open
Momentum	Close-date slippage	avg push-outs / deal	≤ 1	A 2nd push = the deal is in trouble; escalate or re-qualify
Hygiene	Required fields set	% w/ amount+date+stage	≥ 95%	No forecast off blank fields; make them required at stage entry
Hygiene	Overdue close dates	% close date in past	0%	Every past-due date gets corrected before the number is trusted
Hygiene	Stage ↔ activity match	% "negotiation" w/o proposal	< 5%	Deals in a stage they haven't earned: reset to the true stage

The one-line operating rule. Score each pillar red / amber / green from its leaves. A pillar is only as strong as its weakest leaf — and pipeline quality is only as strong as its weakest pillar. A 4× pipeline that fails Authenticity or Hygiene is not a 4× pipeline; it's false confidence with a countdown on it.

What this is built on

Sources.

Drawn from the current RevOps / B2B-sales literature (2024–2026). Benchmarks are directional — recalibrate every target to your own win-rate and cycle.

Clari — Pipeline coverage best practices · https://www.clari.com/blog/pipeline-coverage-best-practices/
Forecastio — Sales pipeline health · https://forecastio.ai/blog/sales-pipeline-health
Weflow — Measuring pipeline health (weekly review) · https://www.weflow.ai/blog/sales-pipeline-health
CaptivateIQ — Sales pipeline analysis · https://www.captivateiq.com/blog/sales-pipeline-analysis
Apollo — What metrics define a healthy pipeline · https://www.apollo.io/insights/what-metrics-define-a-healthy-sales-pipeline
Salesmotion — Pipeline velocity · https://salesmotion.io/blog/pipeline-velocity
MEDDICC — MEDDICC vs other qualification frameworks · https://meddicc.com/resources/meddicc-versus-other-qualification-frameworks-like-bant
AmpUp — MEDDIC vs MEDDPICC vs BANT (2026) · https://www.ampup.ai/resources/meddic-vs-meddpicc-vs-bant
Outreach — Pipeline coverage ratio guide · https://www.outreach.ai/resources/blog/sales-pipeline-coverage-ratio

Is this pipelineactually any good?