Last Updated: March 21, 2023
From start to finish
In the article, we’ll walk through all 6 major milestones from discovery to evaluation to go live and beyond.
① Discovery
How does your team operate today? What are your current and upcoming business priorities? What problems are you trying to solve?
We have a lot to learn about your business. By discussing these sorts of topics, we can get a better sense of data requirements and timeline for Endgame implementation.
After this discovery call, we’ll create a shared Slack channel for collaboration as we enter the next phase.
② Connect data
Once we receive your data, we’ll perform a data analysis. At the end of this analysis, we may have questions, recommendations, or requests for your data team. Often this process concludes without blockers.
③ Define and create workflows
Now that we have context on your business goals and an understanding of your data, we will work with you to build your product-led sales motion. This is often a highly-collaborative with rapid iteration. Ultimately the question is: How should your reps most effectively leverage Endgame in their day-to-day work?
Once workflows are agreed on, our team will build your Endgame configuration. We’ll handle this entirely, however we may have questions for your team along the way.
④ Demo with your data
The best part! We’ll give you a live demo of your data in Endgame. On this call, we’ll give you basic product orientation and a demo of the workflows we designed together.
After this call, you and your team can give Endgame a spin and immediately start customizing, experimenting, and creating new views.
⑤ Onboarding
At this point, Endgame is already live for your pilot team. When you’re ready, you can self-provision your full team. The Endgame team will be available to setup 1-on-1 or group onboarding sessions, tailored to your format preferences and schedule.
⑥ Recurring reviews
We’ll setup a regular cadence to review Endgame with you. What’s changed, what’s working, what’s not? We’ll also use this time to perform ongoing data audits, clean-up (e.g. removing under utilized views), and configuration review / sharing best practices.