> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tryflavia.com/llms.txt
> Use this file to discover all available pages before exploring further.

# What Is Flavia?

> The instant conversational AI data analyst

Flavia is the world's first conversational AI data analyst that can participate as a full member of your business meetings. Think of it as having a superhuman data scientist on your team and on every call - one who never needs to "circle back" with the numbers.

## How Flavia works

Flavia analyzes data and responds with both voice explanations and visual charts that she shares on screen. Simply upload/connect your data and start a [session](/sessions) - either [invidiual](/individual_sessions) or by adding Flavia to your [meeting](/meetings) like any other participant.

2. **Ask questions naturally with voice** - "Hey Flavia, how’s our conversion rate trending?"
3. **Flavia analyzes instantly** - processing your data in real-time
4. **Results appear immediately** - explained through voice with supporting visualizations

With Flavia, you don't need to switch tabs, wait for follow-ups, have technical knowledge. Flavia handles sophisticated analytical tasks through natural conversation and turns complex data questions into instant insights. See [what you can ask](/what_to_ask).

## Features

Flavia enables teams to make faster decisions by going from question to insight in seconds instead of days.

* **Real-time voice interaction** - Ask questions and get answers through natural conversation
* **Intelligent analysis** - Flavia is a skilled data analyst who knows advanced statistical methods
* **Fast visualisations** - Creates and shares charts, graphs, and insights as soon as you ask, no more "let me get back to you on that"
* **Memory and context** - Remembers previous discussions and learns your business terminology
* **Zero learning curve** - If you can speak in a meeting, you can use Flavia

## Who is Flavia for?

**E-commerce and SMB Owners**

* Track sales patterns and inventory metrics without hiring a data analyst
* Understand customer purchasing behavior and optimize pricing strategies
* Measure marketing ROI across channels to maximize limited budgets

**Sales & Marketing**

* Review pipeline performance in team meetings
* Analyze campaign effectiveness during planning sessions
* Track KPIs and adjust strategies on the fly

**Product & Growth Teams**

* Analyze user behavior and feature adoption in sprint reviews
* Test hypotheses and validate assumptions in real-time
* Share insights across teams without context loss

**Executives & Leaders**

* Get instant answers to strategic questions during board meetings
* Make data-driven decisions without waiting for follow-ups
* Access complex analyses without technical knowledge

## Common use cases

* **Executive Reviews**: "Show me revenue by segment and how it's trending versus last quarter"
* **Product Decisions**: "What's the correlation between feature usage and retention?"
* **Sales Planning**: "Which campaigns have the best ROAS and should get more budget?"
* **Team Standups**: "What were yesterday's key metrics and any anomalies?"

Check out more sample questions you can ask [here](/what_to_ask).