Sales Pipeline Review Template: The Manager's Playbook (2026)
A great pipeline review doesn't just surface what's there — it finds what's missing, what's overstated, and what needs to happen this week to keep the number intact.
Why pipeline reviews go wrong
Most pipeline reviews are CRM walkthroughs. The manager looks at a Salesforce list, asks “what's the status on Acme?”, the rep says “it's looking good,” and everyone moves on. Three weeks later it slips.
The problem: CRM data is what reps enter, and reps enter what makes their pipeline look healthy. A pipeline review that runs off CRM data alone is a review of rep optimism, not deal reality.
Effective reviews use deal intelligence — an independent, AI-generated view of each deal's health — to challenge the narrative before it becomes a missed quarter.
The pipeline review template
Use this structure for a weekly 45-minute pipeline review with each rep or team:
Section 1: Pipeline health overview (5 min)
- →Total pipeline value this quarter vs. target coverage ratio (aim for 3–4× quota)
- →How many deals are in each stage? Is there a bottleneck?
- →How many deals have scores below 60? How does that compare to last week?
- →Which deals have had no activity in 7+ days?
- →Which deals have close dates within 30 days but scores below 70?
Section 2: Commit deals — pressure test each one (15 min)
- →What is the BANT score? Walk through Budget, Authority, Need, Timeline individually.
- →Who is the economic buyer and when was the last direct contact?
- →What is the decision criteria? Where does our solution rank?
- →What is the agreed next step and mutual close plan?
- →What could kill this deal in the next two weeks?
- →Is there a competitor in the deal? When did we last address their objections?
Section 3: At-risk deals — intervention plan (15 min)
- →What specific event stalled this deal? (Not 'they went quiet' — what changed?)
- →Is the champion still engaged? When did you last hear from them?
- →What one action would most move this deal forward this week?
- →Should this deal be pushed to next quarter or disqualified entirely?
- →What does the rep need from the manager — intro, exec sponsor, technical resource?
Section 4: Sandbagged deals — pull them forward (5 min)
- →Any late-stage deals not in the current quarter forecast?
- →Any deals with high scores but no close date set?
- →Any deals the rep is holding for next quarter that could accelerate?
Section 5: Actions and owners (5 min)
- →Every at-risk deal gets one specific action with a named owner and due date.
- →Manager commits to any support needed (exec intro, proposal review, etc.).
- →Log all actions as deal notes — visible to both manager and rep.
Pipeline health metrics to track weekly
| Metric | Healthy | Warning |
|---|---|---|
| Pipeline coverage ratio | 3–4× quota | Below 2.5× |
| Avg deal score | Above 65 | Below 55 |
| Deals with no activity in 7+ days | Below 20% | Above 35% |
| Deals with close date past due | 0 | Any |
| At-risk deals (score < 60) | Below 25% | Above 40% |
| Days since last score change | Under 10 | Over 21 |
Rep coaching signals to watch for
Pipeline reviews reveal rep patterns over time. Watch for these signals and address them in 1:1s:
- Chronically optimistic forecasting. If a rep consistently has deals slip from commit, their qualification bar is too low. Work on BANT rigor.
- No exec access on any deal. If a rep can't get above the line on any deal, they need coaching on economic buyer mapping.
- High-score deals that never close. If deals frequently score 80+ but stall at proposal, the deal intelligence may be right and the pricing/proposal process is the gap.
- Lots of deals, low avg score. Volume without quality — the rep is qualifying too broadly and needs to tighten their ICP.
- All deals in the same stage. If everything sits at Demo or Proposal, the rep may be avoiding the hard qualification conversations that move deals forward.
How AI makes pipeline reviews faster and better
The most time-consuming part of pipeline review prep is gathering the current state of each deal. When that view is generated automatically — deal score, BANT breakdown, last activity date, risk flags — a manager can review their entire pipeline in 10 minutes instead of 45.
DealRadar generates this view continuously. Every deal gets a real-time health score with a BANT breakdown and risk callouts. The Today View shows exactly which deals need attention today. The Forecast tab shows weighted pipeline and coverage ratio. Managers walk into every pipeline review already knowing what the AI sees — and spend the time on intervention, not information gathering.
Run pipeline reviews with AI deal intelligence
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