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Being the first customer onboarding hire can be overwhelming. You are chasing every opportunity to reduce time to value and increase customer adoption. You try playbooks, tailor them to work for your business, and go through many iterations. Soon enough, you will need to answer questions like:
Preflighters discuss the foundational building blocks that helped them build a successful customer onboarding org.
We have a lengthy implementation and onboarding phase for our product, and we have been having a lot of discussions around KPIs and how we can measure success with our customer onboarding process. We are currently working on a customer survey to collect feedback that we will send out at the end of onboarding. It is an excellent place to start since it helps you understand what your customers think and iterate very quickly!
When I started at my current company three years ago, I had exactly these questions. Here are a few things that are consistently tracked across most customer onboarding teams:
Once you have a baseline of metrics you can track and measure, you can expand from there.
I recommend optimizing for two metrics that create a system for checks and balances. I look at the throughput, i.e., pure output like the number of implementations completed each month + a customer sentiment metric. Post-implementation, it can be Implementation-NPS/CSAT.
As the customer onboarding org matures, you can start to layer in more and dial in on behavior depending on your business needs. Here are really nuanced questions you answer when you layer in more between two metrics:
What I appreciated most about Rocketlane is its seamless approach to onboarding and project management. The ability to collaborate in real-time, set clear timelines, and track progress across multiple teams makes it incredibly efficient. The built-in document-sharing and communication tools reduce the need to switch between platforms. It’s especially useful for client-facing projects, where transparency and accountability are key


AI that executes your delivery work (Add to any plan)
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Ideal for expanding organizations needing more in-depth capabilities and integration for scaling.
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Great for teams desiring tailored workflows with comprehensive reporting capabilities.
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Tailored for large enterprises requiring a fully customizable, comprehensive delivery engine.
A Forward Deployed Engineer (FDE) embeds in the customer environment to implement, customize, and operationalize complex products. They unblock integrations, fix data issues, adapt workflows, and bridge engineering gaps — accelerating onboarding, adoption, and customer value far beyond traditional post-sales roles.

A Forward Deployed Engineer (FDE) embeds in the customer environment to implement, customize, and operationalize complex products. They unblock integrations, fix data issues, adapt workflows, and bridge engineering gaps — accelerating onboarding, adoption, and customer value far beyond traditional post-sales roles.





70–85% utilization. 94% G2 rating.
One platform does what the entire table above tries
to split across tools.
70–85% utilization. 94% G2 rating.
One platform does what the entire table above tries
to split across tools.

70–85% utilization. 94% G2 rating.
One platform does what the entire table above tries
to split across tools.
Enterprise implementations fail because customers don’t follow the process or provide clean data on time. Most delays are purely “customer-side” issues.
Implementations fail because complex environments need real-time technical problem-solving. FDEs unblock workflows, integrations, and unknown constraints that traditional onboarding teams can’t resolve on their own.
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Companies that embed engineers directly with customers see significantly higher enterprise retention compared to traditional post-sales models — because embedded engineers uncover “unknowns” that never surface in ticket queues.

VP Sales, Intercom

A Forward Deployed Engineer (FDE) embeds in the customer environment to implement, customize, and operationalize complex products. They unblock integrations, fix data issues, adapt workflows, and bridge engineering gaps — accelerating onboarding, adoption, and customer value far beyond traditional post-sales roles.






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