that really only want someone to fix their CRM or build dashboards. I've interviewed for so many roles now where companies either don't really understand what the function is or it's a glorified title for tool admin without the ability to make any changes or even own the tool. Spending most of my day troubleshooting Salesforce isn't what I agreed to.

analysis, but they rely heavily on sales leadership and SDR/AE feedback to interpret context. Metrics alone rarely tell the full story.Most teams combine CRM reporting with qualitative reviews, listening to calls, checking emails, and sometimes even surveying reps about lead quality. A/B testing messaging and ICP segments also helps, but it’s time-consuming.The tricky part is accountability. If the SDRs generated replies but the leads never converted, no single team can fix it alone. Cross-functional post-mortems where RevOps lays out the data and sales shares the on-the-ground reality seem to work best.

day which included six companies at my last company. I was quick, and it was a simple structure in the service industry, so nothing complex. I would start my processes a couple of days before. Current company, anywhere from 7 to 15 days. More often, 15. Super complex and a lot of moving parts. Occasionally, we haven't finished the last review before the next month end rolls around.The difference does baffle me. There are a lot of parts that can't be started until the person before has finished their part. Month-end seems like an afterthought. I prepare all my papers a day or two beforehand so that I'm ready to rock and help everyone else where I'm able. It does drive me a little bonkers that it takes so long!

works overtime to produce accurate numbers. I see how hard they’re grinding, how tired they are, how much pressure they’re under. Once they’re done, they bring me in, walk me through what happened, explain the variances, and give me the full context in a 30 minute meeting every month. I take the same information, present it to the leadership team and the board, repeat again next month. Truthfully, it's a waste of everyone's time.

Let's save $20 a month by having our RevOps guy spend 40 hours building a buggy AI app! At some point we have to remember we're supposed to be driving revenue, not running a part-time dev agency.

answers for basically every number that matters for us. Salesforce says we closed 42 deals last quarter. Hubspot attribution says marketing influenced 38 of those. Then our cs team pulls from gainsight and only 35 accounts show as successfully onboarded. So when leadership asks for something as simple as a win rate, whoever answers first sets the "truth" and everyone else looks wrong.The real problem isn't the tools themselves, it's that each team built their own definitions over time. A "closed deal" in salesforce doesn't map cleanly to a "converted customer" in hubspot doesn't map cleanly to an "active account" in gainsight. The differences are subtle enough that nobody noticed until we tried to reconcile everything in one report. Then it all falls apart.We've been working on pulling all three into a warehouse using precog so we can write the metric logic once and apply it consistently regardless of which source system the data came from. That part is going okay. The part that's way harder than expected is getting sales, marketing, and cs to agree on shared definitions. Everyone is protective of their numbers because those numbers drive their team's performance reviews. So getting alignment is as much a political problem as a data integration problem.

or Linear for personal use. It’s normal to feel empowered to do it initially but I think I lot of non-engineering folks are gonna realize that building is easy but maintaining is going to be terrible the moment anyone in the company complains about something. I think we are at peak of Dunning Kruger for vibe coding and this won’t last forever.

because crm, customer data platforms, and customer success tools exist in separate silos with differing definitions, making team alignment difficult.. having a data warehouse alone does not fully solve the problem because human politics and the tendency to protect performance metrics can hinder alignment. using a company wide metric charter helps most organizations by establishing unified definitions and tying metrics to business goals instead of individual teams