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What are the biggest frustrations you have as a revenue operations manager?

Mollie Bodensteiner
Sound Agriculture Revenue Operations LeaderDecember 15

I think my biggest frustration is generally around "time in the day" and "goal post-shifting without proper foresight."

With these challenges, you have to focus on what you have control over. Unfortunately, I have not been able to figure out how to add hours to the day, so instead, I have to drive clear prioritization and delegation (and sub-prioritization throughout the team) to make sure that we are focused on the right outputs at the right time to drive business value. This also requires the necessity of being able to properly set expectations with stakeholders as to why their request is being de-prioritized, etc.

What I have found is that if you as a RevOps leader are organized around what you are focused on, delivery dates, and prioritization it becomes an easy conversation with stakeholders when you look at stack ranking against capacity - but if you are not able to properly communicate and articulate roadmap/prioritization it makes it harder to justify why.

Businesses change - but ensuring that Revenue Operations is not at the tail end of the shift is critical. We talk a lot about Revenue Operations getting a seat at the table and it's important to remember that seats are earned and not given. However, having foresight into what business decisions might cause an impact before the decision is made allows Revenue Operations to properly work through requirements and timelines necessary to set expectations upfront with business leaders. This is where having clear roadmaps, prioritization, and timelines are very helpful.

Instead of saying "This is going to be a lot of work" be able to articulate why it is a lot of work (remember who your audience is - if technical or not) and why the work is critical to the success of the project and by doing this what has to change due to the capacity of your team.

I have yet to work on a team that is not operating at full capacity - so if something comes in - something has to come out (or more resources are needed).

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