Ask Flavia the same questions you would ask a colleague
Flavia understands natural language, so you can ask questions just like you would ask a colleague. If you know exactly what you’re after, make sure to specify the details. If you’re exploring, start broad and iterate with follow-up questions to get to your desired analysis - Flavia maintains compounding context so you don’t have to repeat yourself.Below we outline some types of questions you can ask and some tips on how to get the most out of Flavia’s abilities. However, this is not a prescriptive, nor exhaustive, list - use these examples to inspire you!
Flavia automatically creates appropriate charts and can adjust them on command so you have full control over how your charts look, feel, and what they show:
“Graph monthly revenue trends with profit margins on a second axis”
“Show me conversion rates by campaign type in a bar chart”
“Create a scatter plot of discount percentage vs sales volume by product”
“I want a stacked bar chart of revenue per region with revenue split by city”
You can format your charts instantly -“Change this to a bar chart”, “Add data labels”, “Include last year’s data for comparison”
Flavia is a skilled data analyst that can go (way) beyond simple requests. She can run advanced data science methods and can select the most appropriate statistical method based on your query, so you can leverage advanced analytics without technical expertise:
“What’s the relationship between discount percent and order quantity? Calculate the regression coefficient”
“Run a clustering algorithm on my customer data”
“Which product subcategories have the best profit margins in Premium segments?”
If you want more fine-grained control, you can iterate naturally: Start with “Show me ROAS by campaign type” → Then ask “Filter to active campaigns only” → Go deeper with “Compare mobile vs desktop performance”
One of the most time consuming activities in data analysis is finding stories hidden in the data. With Flavia, you can simply ask ‘tell me a story based on my data’ and she will explore, analyse, and create multiple charts and tables to uncover the story, digging deeper at each level.
Flavia can do analysis using combinations of uploaded files and data connectors to get you deeper, more bespoke insights. This is particularly useful when you have a niche query:
“Calculate ROAS based on the stats Jared shared in my last Gmail”
“What is the average customer lifetime value of my happiest customers from Supabase?”
Flavia can go beyond doing analysis - you can ask her to generate output files. This is particularly useful when you want to manipulate input data into a new dataset, or get a fresh file based on the analysis Flavia executed.See more about generating files here.
Flavia maintains context during your conversation, so you can start broad and ask natural follow-ups without having to repeat your request every time you want to make a change.You can start conversations effectively with some initial context: