Analyses ready for production.
Most data questions have already been answered in Narrator. Our templates are flexible, thought through, and a great starting point for any analysis.
"How does viewing the FAQ page impact likely hood to submit a ticket?"
"How many times do users have to use the product before they become adopted?"
"Which sales people negotiate the best contracts?"
"Do I have enough data to conclude that this experiment is successful?"
"Whats the conversion rate from lead to sale and how is that changing?"
Stakeholders often have "just one small thing" to request once they receive their reports. Instead of distracting you from your work, we made self-serve super easy for them to handle their follow ups on their own.
"Add the % change of the difference between this row and the weekly average"
"Lets add in the first touch ad source."
"Lets add their tenure so we can see if that also matters."
"Can you put the dataset you used in dbt so we can put a production model on it?"
Can I build my own template?
Yes. You can build templates and share them across your teams to be used to answer many questions.
Can I take data from an analysis and put it in my Jupytr notebook?
Yes. Start with a simple analysis in Narrator and if you find something interesting copy the SQL into Juyptr to run more complex algorithms.
Can I leverage algorithms to help with interpretation?
Yes. We have many algorithms available: bucketing the data, finding the point of greatest impact, understanding trends, checking for statistical significance, and more.