Pipeline design

Pipeline is how you manufacture revenue. Like any manufacturing line, it needs designed capacity, named stations, quality gates, and throughput targets. Most sales orgs run their pipeline like a box of loose deals; the good ones run it like an assembly line.

Design vs, measurement

Funnel math is about measuring what's happening. Pipeline design is about deliberately building the pipeline you need. Four inputs:

1. The revenue goal. $X in new ARR this quarter.
2. The conversion rate you know to be true. Historically, 1 in N qualified opportunities close.
3. The cycle time. Average days from Qualified to Closed-Won.
4. The average deal size.

From these you back out: how many qualified opps you need now, how many qualified opps you need to generate per week, and how many suspects/leads you need to feed qualification.

Stage definitions

The most common pipeline failure: stages that mean different things to different reps. Each stage must have an exit criteria, a specific, verifiable condition that must be true to advance:

Example stage definitions.
Discovery: Exit when (1) pain validated, (2) authority confirmed, (3) budget range discussed.
Technical Validation: Exit when (1) solution fit confirmed by technical buyer, (2) integration plan outlined.
Commercial: Exit when (1) pricing proposed, (2) procurement contact known, (3) decision criteria agreed.
Legal: Exit when (1) MSA in redline, (2) close date committed by buyer.
Closed-Won: Contract signed.

MEDDIC / MEDDPICC, the qualification scaffold

A time-tested qualification framework. For each opportunity, validate and record:

• Metrics, how will the buyer measure success?
• Economic Buyer, who signs?
• Decision Criteria, what must be true to choose us?
• Decision Process, how does the decision get made?
• Paper Process, what are the legal/procurement steps?
• Identified Pain, what's the cost of inaction?
• Champion, who on the inside is selling for us?
• Competition, who else are they evaluating?

If more than 2–3 of these are "unknown" at Stage 3, the deal is a forecast fantasy.

The forecast categories

Every opp in pipeline fits into one of four categories:

• Commit, we're signing this quarter; all blockers known and manageable
• Best Case, likely this quarter; identifiable risk that could slip
• Pipeline, active but unlikely to close this quarter
• Omitted / Worst Case, dead or dormant; pull forward only if miracle

Rep forecasts against these. Manager rolls up. The goal: Commit + 50% of Best Case ≥ Quota. That's your baseline conviction level.

Pipeline hygiene

A clean pipeline lies less. Rules:

• Every opp has a next step scheduled with the prospect
• Close dates are moved, not deleted, slippage is data
• If no activity for 30 days, opp gets flagged stale
• If no activity for 60 days, opp is auto-demoted to Pipeline category
• Weekly pipeline scrub: manager + rep walk every Commit + Best Case deal

The pipeline council

Weekly, 60 minutes, the sales leader + top reps + RevOps:

1. Review pipeline coverage ratio by segment
2. Walk each Commit deal, what's the next step, what could go wrong, what do we need?
3. Walk each Best Case deal similarly
4. Identify deals that should be promoted or demoted
5. Flag capacity issues, is anyone over-quota in pipeline or dangerously under?

What good looks like

• Stage exit criteria are written down and reps know them
• Pipeline coverage > 3x quota per rep
• Manager can explain the forecast with evidence, not vibes
• Closed-Lost reviews happen monthly and feed back into ICP + qualification

Related: Funnel math · Pricing + negotiation · Customer success ops