The Self-Service Data Team is responsible for leveraging data to optimize for the self-service customer experience and drive nARR growth via sales efficiency. Data insights from this team feed: sales visibility, self-service fulfillment features, and growth/marketing experiments.
|Max Fleisher||@mfleisher||Mgr, Self-Service & Online Sales Data|
|Sara Gladchun||@sglad||Sr. Analyst, Self-Service & Online Sales Data|
|Data Request Issue Template||Template that should be used for ad-hoc data questions and requests|
|Data Hub||All of our data assets and resources in one place|
Purpose: outline how the broader Self-Service team can engage the Self-Service Data Squad (Max, Sara)
Goal: minimize dependencies/blockers to insights while providing transparent engagement model
Disclaimer: Not all data questions will be able to be answered. Ultimately, taking time to answer ad-hoc questions means less time on projects (aka the zero-sum capacity problem). That is not to say that ad-hoc questions are not important; however, we do have “boulder” level projects in flight have been prioritized via the OKR process, which we also need to make progress on.
How to submit your ad-hoc data request or question:
The more points the better!
If an ad-hoc request scores north of 7 points, we will re-consider prioritizing it above existing OKR work.