Hey guys, I’m trying to figure out how best to manage pipeline trust as the company grows. Specifically, I'd love to know how ya'll think about deals that sit in stages longer than they realistically should, and what (if anything) you do before pipeline reviews or forecasts.
Hey Zaid K. you're definitely not alone here- The root issue I've seen is that pipeline reviews are reactive (finding out deals are stale when it's too late) A few things that have helped in places I've worked: Before it gets to the review:
Time-based automations that flag deals (like if a deal sits in Discovery for 2+ weeks, it gets tagged for review)
Required fields at stage transitions - forces reps to document next steps before moving forward
During reviews:
Focus on forward-looking metrics, not just "why is this still here" - what's the next action, who owns it, when's it happening
Create a "parking lot" stage for deals that aren't dead but aren't moving - keeps forecast clean
The real unlock though is building this stuff into the workflow before reps even move deals.
hope this helps, shoot me a DM if you have questions
Hey Zaid, one thing I'd note here is the tradeoff between how big the problem is and the controls you put in place to address it. From a Rev Ops perspective its makes sense to want to put in controls on your pipeline and stage progression by your reps. From a reps perspective though, any extra steps slow them down. Now obviously some controls are needed. But if reps feel there are too many roadblocks in place to progress deals, they'll start working outside the system. A good balance is required. Get their feedback when you're putting these controls in place.
Zaid K. Totally agree with all of this, and I’d add one step before jumping into controls. It’s worth doing a quick audit to get clear on the problem you’re actually trying to solve. A lot of teams jump straight to the how, but the leverage is in the why. What specifically broke trust in the pipeline Is it forecasting accuracy, deal slippage, stage inflation, or leadership being surprised late in the quarter And why does trust matter right now. Board pressure, hiring decisions, cash planning, leadership confidence. From there, pipeline design needs to mirror the real sales motion. My gut is this often comes back to sales discipline, leadership alignment, and data hygiene more than tooling. You can add tactical measures, but if they’re not aligned to how deals actually move, you just create another system sales work around rather than with. Hope this helps!
Stage is a useful internal indicator, but it rarely maps cleanly to buyer progress. That is why you often see deals moving through stages and then suddenly getting stuck. What worked for us is explicitly matching internal stages to buyer motion. And the easiest way to sanity-check that is to stop asking “what did you do?” and start asking “what did the buyer do?” Before reviews, for every active deal, can the rep point to one concrete buyer action since the last check-in? Examples: • They introduced legal or procurement • They shared decision criteria or a real timeline • They confirmed who the economic buyer is • They agreed on next steps with a date If the only update is “we followed up” or “we’re waiting,” nothing actually moved. That doesn’t mean the deal is dead, but it does mean it shouldn’t be treated as progressed. This keeps things practical, aligns stages with reality, and cuts stage inflation without adding rep-facing friction.
Jessie T. Alexandra B. This is really helpful, appreciate both of these perspectives. Totally agree that enforcement only works if it mirrors how deals actually move, otherwise sales will just route around it. The tension I keep seeing is that trust often breaks before there’s an obvious moment to intervene, which is why teams end up compensating manually later. The buyer-action framing especially resonates. That feels like the right long-term anchor for trust, not just internal stage movement.
Tool dependency is a problem. First line managers should meet individually each week for pipeline review. That is the absolute fastest way to determine your pipeline accuracy. Weekly team reviews are the best way to keep everyone honest.
Start with:
Process over tools - Start by defining entry and exit criteria of each Stage. Doesn't matter if it's a spreadsheet, we should all be using the same entry and exit rules
Governance over automation - Ops or Sales Managers should start with weekly pipeline reviews (let's say Tuesdays) during 1:1 and give Managers a pipeline report so they can use it
Incentives over Mandates - Pipeline only works if it serves a purpose (Forecasting), so establishing the WHY we do pipeline and promoting the pipeline management (incentives, bonus, recognition) is more effective than forcing the process down the team's throat
Evolve to:
Map Stages to Probability % - Better indicator for Forecast
Clean-ish Pipeline Management = Better Forecast
Better Forecast = Better insights
Cleaner Data = Better AI
Some metrics to think about: Deal Cycles Pipeline Quality Pipeline Coverage (I use 2x as a baseline for Midmarket/enterprise) Metrics I don't suggest: Propensity to Close
Damian O. Appreciate this perspective. I agree these are foundational, especially clear entry/exit criteria and consistent governance. What I’m curious about is what teams do after they’ve put these in place, but still see confidence erode between reviews as buyer timelines or priorities shift. That gray zone seems to persist even in fairly mature setups.
This is a really solid set of perspectives, and there’s a common thread running through all of them. What breaks pipeline trust usually isn’t time in stage — it’s assumed progress. Stages drift from being indicators of buyer movement to placeholders for seller hope. I like the way this converges on one simple test:
What did the buyer do that increases the likelihood of a decision?
When that question is consistently answerable, a lot of things fix themselves:
Aging becomes informative instead of punitive
Controls feel lighter because they’re grounded in reality
Forecasts get calmer because fewer deals are “emotionally promoted”
One thing I’ve seen help at scale is reframing pipeline reviews from “status checks” to decision checks. Not “why is this stuck?” but “what decision is the buyer actually closer to making than they were last time?” If there isn’t a clear answer, the deal may still be alive — it just shouldn’t be carrying forecast weight yet. Trustworthy pipelines aren’t the cleanest ones. They’re the ones where everyone believes the story the data is telling. Really appreciate the quality of thinking in this thread.
