I wrote recently about why most pipeline reviews are broken. The short version: they're status updates dressed up as strategy meetings. The manager goes deal by deal, asks what happened, the rep gives an update, and everyone leaves feeling productive without anything actually changing.
That post resonated with a lot of people, which tells me it hit a nerve. But diagnosing the problem is the easy part. The harder question is: what should a pipeline review actually look like?
I've run hundreds of pipeline reviews over 20 years. The bad ones all look the same. The good ones share a structure that's surprisingly simple once you see it. Here's how I'd run one today if I were managing a team of five to fifteen reps.
Start with an objective measure of deal quality
Before anything else, you need an objective measure of deal quality.
This is the foundational shift. Without a way to measure how good each deal is, independent of what the rep tells you, you're always going to be running a status meeting. You might ask better questions. You might push harder on timelines. But you're still relying on the rep's subjective view of their own pipeline, and reps are optimistic by nature. That's what makes them good at selling and terrible at forecasting.
A fit score changes everything. If every deal has a number between 0 and 100 that tells you how closely it matches your historical win pattern, the review stops being about opinions and starts being about data.
You don't need technology for this. You could do it manually. Export your won deals, identify the patterns, build a scoring rubric, score your open pipeline in a spreadsheet. It takes a weekend. It's tedious. But it works.
If you want to skip the weekend, that's what tools like Telepath are for. But the point stands regardless of method: until you have an objective deal quality score, your pipeline reviews are always going to be guesswork with better haircuts.
Step 1: Start with the portfolio view, not individual deals
Most reviews start at the deal level and never zoom out. You're immediately in the weeds of "what's happening with Acme Corp?" without ever looking at the overall shape of the pipeline.
Start with the big picture instead. What does the distribution of deal quality look like across the whole pipeline? What percentage is high fit? What percentage is below your threshold? How does this compare to last week?
If 60% of the pipeline is scoring above 70, that's a healthy pipeline. If only 25% is above 70 and 40% is below 30, you've got a targeting problem that no amount of deal-level coaching will fix. You need to talk about where the pipeline is coming from, not just how to close what's already there.
This takes two minutes and it frames the entire conversation. Before anyone talks about a single deal, the whole room understands the quality of the pipeline they're working with.
Get pipeline intelligence insights weekly
Join sales leaders learning to turn CRM data into pipeline confidence. No spam. Unsubscribe anytime.
Step 2: Sort by score, not by close date
The default in every CRM is to sort the pipeline by expected close date. This means you start with the deals that are supposedly closing soonest and work your way through. The problem is that close dates in CRMs are fiction. They're guesses set by reps at deal creation and rarely updated until the deal is either won or embarrassingly overdue.
Sort by fit score instead. Start with the highest-scoring deals. These are the ones that look most like your past wins. They deserve the most attention, the most creativity, the most resource allocation. If a deal scores 90 and it's stuck at proposal stage, that's the one worth unblocking. That's where a five-minute brainstorm with the team about how to get it moving will generate more revenue than an hour spent discussing a deal scoring 25.
Then look at the bottom. Deals scoring below 30 should face a hard question: should this still be in the pipeline? Not every deal belongs there. Keeping low-fit deals alive consumes forecast bandwidth, distorts the numbers, and gives reps permission to spread their time across deals that aren't going to close.
Killing a low-fit deal isn't failure. It's strategy. The best pipeline reviewers I've worked with actively helped reps remove deals. It felt counterintuitive at first, but the pipelines got smaller and the win rates went up. Every time.
Step 3: Ask diagnostic questions, not status questions
Here's where most reviews go wrong. The manager asks "what's happening with this deal?" and the rep gives a narrative. They liked the demo. We're waiting on procurement. The champion is on holiday until next week.
None of this tells you whether the deal is going to close. It tells you what the rep has been doing, which is different.
Better questions for a high-fit deal that's not progressing: How many stakeholders are engaged compared to our average for deals at this stage? Have we identified the economic buyer? What did our similar won deals look like at this point in the cycle? Is the engagement cadence tracking with our winning pattern or has it gone quiet?
These questions are diagnostic. They compare the deal's current state against a benchmark. The benchmark is your own win data, not an abstract best practice. "Our won deals at Proposal stage typically have 3.4 stakeholders engaged. This deal has one. That's the gap." That's a coaching conversation. That leads to action. "Go multi-thread this deal before the next review" is specific, data-backed, and actionable.
Compare with "what's happening with this deal?" and "we're waiting on procurement." There's no diagnosis. No benchmark. No action. Just a status report.
Step 4: Make deprioritisation explicit
This is the bit that takes courage. In most reviews, deals are discussed and then left in the pipeline regardless of the conclusion. Nobody wants to be the one who says "let's kill this deal." It feels like admitting defeat.
But carrying dead weight in your pipeline is worse than admitting it doesn't fit. Every low-fit deal that stays in the pipeline distorts your forecast, consumes rep time, and gives leadership false confidence about the quarter.
Build explicit deprioritisation into the review. If a deal scores below your threshold and there's no clear path to progression, move it out. Not "closed lost" necessarily, but certainly out of active pipeline. Create a "nurture" or "revisit later" stage if it helps psychologically. The point is to stop counting it in the forecast and stop spending active selling time on it.
I once worked with a team that removed 35% of their pipeline in a single review session. Their VP nearly had a heart attack watching the number shrink. Two quarters later, their win rate had doubled and their forecast accuracy went from 55% to 78%. The pipeline got smaller but the revenue didn't. The revenue went up because the team was finally spending all their time on deals that actually matched the winning pattern.
Keep it to 30 minutes, not 60
If your review is taking an hour, you're going deal by deal on every deal. That's not a review, it's an audit. A good pipeline review should focus on three things: the shape of the portfolio, the highest-value deals that need unblocking, and the lowest-value deals that need removing. Everything in the middle is fine. Leave it alone.
The 80/20 rule applies. 20% of the deals in the pipeline will generate 80% of the conversation and action. Focus there. The reps with solid mid-pipeline deals that are progressing normally don't need airtime. They need you to stay out of their way.
A 30-minute format you can use tomorrow
Here's a quick structure you can steal:
Minutes 1–3: Pipeline quality snapshot. Score distribution, at-risk revenue, week-over-week changes. Set the context.
Minutes 3–15: Top deals. High fit score, high value, or stuck. What's the blocker? What's the action? Who's owning it? Move fast.
Minutes 15–25: Bottom deals. Low fit, long in the tooth, no movement. Keep or cut? Be honest. Be quick.
Minutes 25–30: One coaching moment. Pick a deal where the data revealed something interesting and talk through it as a team. "This deal scored 85 on fit but the engagement pattern looks like our closed-lost deals. What should we do differently?" This is where the team learns.
That's it. Thirty minutes. Everyone leaves with specific actions. The pipeline is cleaner than when you started. The forecast is more honest. The reps feel coached, not interrogated.
The best reviews are honest, not thorough
The best pipeline reviews I've ever run weren't the ones with the fanciest CRM dashboards or the most detailed stage-by-stage analysis. They were the ones where we looked at the data, made honest decisions about deal quality, and focused the team's finite time on the deals that actually matched our winning pattern.
Everything else is theatre.
Want to see what your pipeline looks like when every deal is scored against your winning pattern? Three minutes, free: telepath.pro/free-icp-report