Most pipelines are not pipelines. They are wish lists with stages attached.
This scorecard evaluates your pipeline across 6 dimensions that determine whether your funnel produces reliable revenue or comfortable illusions. Score each criterion honestly. The total will tell you where you stand and what to fix first.
How to score
For each criterion, assign a score from 1 to 5:
- 1: Not happening at all
- 2: Happens inconsistently or informally
- 3: Defined but not enforced
- 4: Consistently practiced with occasional gaps
- 5: Systematic, measured, and continuously improved
Dimension 1: Stage Progression
Does pipeline movement reflect real buyer behavior, or are reps advancing deals on optimism?
- Every stage has documented exit criteria that map to a buyer action, not a seller activity. ("Proposal requested" qualifies. "Proposal sent" does not.)
- Deals cannot advance without evidence: meeting held, proposal requested, decision maker confirmed, budget validated.
- Stage durations are tracked, and deals that exceed 1.5x the average time-in-stage are flagged for review automatically.
- Backward movement (a deal regressing a stage) is captured and reviewed in pipeline calls, not hidden or deleted.
Your score: ___ / 20
Dimension 2: Data Completeness
Can you trust what is in the CRM, or are you making decisions on half-filled records?
- Every opportunity has a close date that is updated when the timeline changes, not left at the original guess from three months ago.
- Contact roles (economic buyer, champion, technical evaluator) are documented on every deal above your median contract value (Annual Contract Value).
- Next steps are specific and dated ("Send revised SOW by Thursday" not "follow up").
- Closed-lost deals have a structured reason captured within 48 hours. Free-text entries like "timing" or "went dark" do not count.
- Revenue fields (amount, recurring versus one-time, product line) are complete and accurate on 90%+ of opportunities.
Your score: ___ / 25
Dimension 3: Pipeline Velocity
Do you know how fast deals move, or do you just know how long the quarter is?
- You can state your average sales cycle length by segment and product line, based on actuals from the last two quarters, not estimates.
- Conversion rates between each stage are tracked and reviewed monthly. You know where the biggest drop-off is without running a custom report.
- You can identify your highest-leakage stage (the one with the worst conversion rate) and explain why deals stall there.
- Time-to-first-response for new opportunities is measured, held to a defined Service Level Agreement (SLA), and reviewed when it slips.
Your score: ___ / 20
Dimension 4: Win Rate Patterns
Do you know why you win and lose, or do you just know that you do?
- Win rate is segmented by rep, deal size, lead source, and competitor presence. A single blended win rate across all deals is not sufficient.
- Losses are reviewed with the same rigor as wins. There is a structured post-mortem process, not just a "what happened?" in the team meeting.
- You can identify which competitor, objection pattern, or deal characteristic is most correlated with losses in the last two quarters.
- Win rate trends over time are visible in a standing report that updates automatically. If calculating your win rate requires a spreadsheet exercise, that counts as a gap.
Your score: ___ / 20
Dimension 5: Stale Deal Handling
Are dead deals identified and removed, or is your pipeline inflated with ghosts?
- There is a defined inactivity threshold (e.g., 14 days with no logged activity) that triggers a stale deal review.
- Stale deals are reviewed weekly and either re-engaged with a documented next step or moved to closed-lost. "Checking in" emails do not count as re-engagement.
- Pipeline coverage ratios are calculated after removing stale and aged deals, not before. Inflated coverage is worse than low coverage because it hides the problem.
- Reps are not penalized for closing out dead deals. The incentive structure rewards pipeline accuracy, not pipeline volume.
- You can distinguish between "no response" stale deals (likely dead) and "slow procurement cycle" deals (alive but delayed) using activity data or tags.
Your score: ___ / 25
Dimension 6: Forecast Accuracy
Does your forecast predict revenue, or does it describe optimism?
- Forecast categories (commit, best case, upside) have written definitions with specific qualifying criteria. Reps can explain what puts a deal in each category.
- Forecasted amounts are compared to actual closed revenue each period, and the variance is reviewed in a standing meeting, not just noted.
- Forecast calls are based on deal-level inspection (stage, next steps, buyer engagement), not rep self-reporting alone.
- You can identify which reps or segments consistently over-forecast or under-forecast, and you have addressed the pattern.
- Your forecast has been accurate to within 15% of actual results in at least 3 of the last 4 periods.
Your score: ___ / 25
Total Score: ___ / 135
Interpretation
110 to 135: Strong pipeline discipline. The pipeline is a reliable operating tool. Focus on marginal gains in velocity and win rate analysis. This is the range where scaling headcount or expanding into new segments will not introduce chaos.
80 to 109: Solid foundation with enforcement gaps. The structure exists, but consistency is uneven. Forecasts are directionally correct but not reliable enough to plan around confidently. Two or three targeted changes, typically around stale deal handling, data completeness, or forecast methodology, will produce measurable improvement within a quarter. A focused advisory session can identify and sequence those changes.
50 to 79: Pipeline is a reporting tool, not an operating tool. There is a CRM and a process on paper, but the data does not drive decisions reliably. Stale deals are inflating coverage numbers. Forecasts are more art than science. This is where most growth-stage teams land, and where operational improvements produce the fastest revenue impact. The fix is not more tools. It is building the discipline layer underneath what you already have.
Below 50: Operating on instinct. The pipeline is not providing the information needed to run the business. Revenue planning is reactive. The path forward starts with the basics: clean stage definitions, enforced data entry, and a weekly review cadence. These changes are not glamorous, but they are the foundation everything else depends on.
What to do with your score
A low score is not a failure. It is a map. Every dimension where you scored below 75% of its maximum points to a specific area where operational improvement will produce measurable revenue impact.
If you scored below 80 overall, or if any single dimension scored below 50%, an advisory session will walk through your results, identify the root causes behind your weakest dimensions, and build a sequenced plan to address them, starting with the changes that affect forecast accuracy and deal velocity first.
Book an advisory session to review your scorecard →