Welcome to Kubit! Using Kubit you're now able to leverage data within your company's cloud data warehouse and investigate product use cases.
☁️ Kubit uses your data, no ETL or data movement, by running queries off of your cloud data warehouse
This means all product/event data you have access to within Snowflake, Redshift, BigQuery, Databricks etc. has been made available in Kubit for easy querying.
If you need more data added or have questions about the data you see please start a chat with your Kubit team using the chat icon in the lower right corner!
📈Kubit has several charts you can leverage "out-of-the-box" for your most common product analytics use cases.
Query - Ask questions like "How many users did an event?" or "What percentage of users who are paying do this event?"
Funnel- Ask questions like "What is my conversion rate for users who login to purchase?" or "Where are my users dropping off in my 4 step signup flow?"
Path - Ask questions like "What are the most common paths for users who go from starting a session to watching a video?" or "What are the differences in paths between my Android and iOS users?"
Retention - Ask questions like "What % of new users return after their first 7 days?" or "How does my churn look between registered and non-registered users?"
Data Table - Ask questions like "What is the crosstab representation of users who started and cancelled streaming, by content type?" or "What are the counts of events at the intersections of searching for content, doing a mainlanding event, broken down by app type?"
Significance - Ask questions like "Is there a statistically significant difference between IOS and Android users who completed a stream?" or "Is there a statistically significant difference between users who did a mainlanding event on a Monday versus a Friday?"
Cohorts - Build reusable cohorts that you can leverage in all of Kubit's charts to get granular with your analysis. Cohorts can look like "All users who watched at least 5 ads in the last 10 days" or "All users who dropped off at step 4 of a funnel".
👀 When you find something interesting put it on a Dashboard or Workspace for collaboration and share-ability!
Dashboards are great areas to organize your charts and schedule to have them sent out to relevant stakeholders. You can edit charts once they are on a dashboard as well!
Workspaces are designed to be a "whiteboard" type area for your charts. If you found something interesting and wanted to collaborate with others on your team, create a workspace and begin chatting with them, instantly.
Workspaces can also connect to your Slack instance for even faster responses.
♻️ You can save and reuse pretty much ANYTHING in Kubit!
Things like measures, filters, cohort and virtual events can all be saved and reused by you and your teammates!
One great way to get started is by recreating defined business metrics or definitions in Kubit and save them using the ↓ symbol to the right of most objects.
Examples could be "US Customers" or "Paying customer" definitions
👍🏼You can't break anything, for the most part, so explore!
Analytics is a practice built mostly by seeing the best examples from others and repurposing them for your use case.
Click and "Show in Formula" others charts and tweak them for yourself, Boom new chart built just for you! Don't worry the original one is safe and sound.
Just don't DELETE anything that isn't yours, that would be so sad 😭
Have fun!
