Data questions
You can ask Flavia any data questions you have for your uploaded files and/or data connections.Quick Stats
Get instant answers to key metrics:- “What’s our total revenue by product category?”
- “Show me average order value by customer segment”
- “Which marketing channels have the lowest cost per conversion?”
Visualizations
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”
Statistical Analysis
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?”
Uncover Hidden Insights
If you just want to learn something interesting from your data, let Flavia surface what she thinks matters to you:- “What interesting patterns do you see in this data?”
- “Tell me something surprising about our customer behavior”
- “Are there any concerning trends I should know about?”
- “Make an interesting plot based on the data”
Find Stories in Your Data
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.Combining data sources
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?”
Generating files
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.Asking good questions
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:- Set context: “Looking at the sales data…”
- Specify timeframes: “Over the last 6 months…”
- Define scope: “For users in North America…”
- “Break that down by segment”
- “Now show me the same thing for last year”
- “Add a trend line”
- “What if we excluded outliers?”
Example questions by your role
We’ve put together a list of questions you can ask Flavia based on your role - use these as inspiration for what Flavia can do for you!Sales Analytics
- “What’s our pipeline coverage for next quarter?”
- “Show me win rates by competitor”
- “Which reps are below quota pacing?”
- “Analyze deal velocity by segment”
- “What factors correlate with successful deals?”
Marketing Analytics
- “Calculate CAC payback period by channel”
- “Which campaigns have the highest ROAS?”
- “Show me conversion funnel drop-offs”
- “Compare organic vs paid traffic quality”
- “What’s our brand vs non-brand search performance?”
Product Analytics
- “Show me feature adoption by user cohort”
- “What’s driving our retention improvements?”
- “Analyze user paths to first value”
- “Which features correlate with upgrades?”
- “Show me engagement trends by platform”
Financial Analysis
- “Calculate our gross margin trends by product”
- “What’s our customer lifetime value to CAC ratio?”
- “Show me monthly recurring revenue growth”
- “Analyze churn by pricing tier”
- “Project revenue based on current pipeline”
Operations & Performance
- “Show me customer support ticket trends”
- “What’s our average resolution time by issue type?”
- “Analyze inventory turnover by SKU”
- “Compare planned vs actual headcount costs”
Executive & Strategy
- “Compare this quarter’s performance to our annual targets”
- “What’s our cash runway at current burn rate?”
- “Show me revenue concentration by customer segment”
- “Which business units are underperforming their budgets?”
Customer Analytics
- “Segment customers by behavior patterns”
- “What predicts customer churn?”
- “Show me NPS trends by segment”
- “Analyze customer journey touchpoints”