> ## Documentation Index > Fetch the complete documentation index at: https://adapt.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Ask > Ask questions in natural language and get answers from your business data The first step in Adapt's Ask-Understand-Act framework. Ask any question about your business in natural language—no SQL, no dashboards, no complex queries. ## How It Works Simply type your question as you would ask a colleague: ``` Why did revenue drop last quarter? ``` ``` Which customers are most likely to churn? ``` ``` What's our top-performing marketing channel? ``` Adapt's AI agent interprets your question, identifies which data sources to query, and gathers the information needed to provide a comprehensive answer. ## What You Can Ask ### Revenue & Financial Questions ``` What's our current MRR and how has it changed? ``` ``` Break down revenue by product line for Q4 ``` ``` Compare this year's revenue to last year by month ``` ``` What's our average deal size by segment? ``` ### Customer & Sales Questions ``` Which accounts are at risk of churning? ``` ``` Who are our top 10 customers by lifetime value? ``` ``` What's the status of deals in our pipeline? ``` ``` How long is our average sales cycle? ``` ### Operational Questions ``` How are we tracking against our quarterly goals? ``` ``` What are the most common support issues this week? ``` ``` Which team members are at capacity? ``` ``` What's our customer satisfaction trend? ``` ### Research & Analysis ``` What are competitors doing in the AI space? ``` ``` Summarize recent news about our industry ``` ``` What features are customers requesting most? ``` ``` Analyze sentiment in our recent reviews ``` ## Question Types **"What is..."** Direct questions about metrics, counts, or current state *"What's our current pipeline value?"* **"Why did..."** Questions that require investigation and analysis *"Why did conversions drop last week?"* **"How does X compare to..."** Questions comparing metrics, time periods, or segments *"How does Q3 compare to Q2?"* **"Which will..."** Forward-looking questions based on patterns *"Which deals will likely close this month?"* ## Tips for Better Questions ### Be Specific About Time ``` What was our revenue for Q4 2024? ``` ``` How did signups change over the past 30 days? ``` ``` What was our revenue? (which period?) ``` ``` How are signups doing? (compared to what?) ``` ### Include Context ``` Check HubSpot for deals that haven't been updated in 2 weeks ``` ``` Look at our Snowflake data for customer cohort retention ``` ``` Show me stale deals (from which system?) ``` ``` What's our retention? (which metric definition?) ``` ### Ask for Specific Formats ``` Show me a table of top customers by revenue ``` ``` Create a chart of monthly growth rates ``` ``` Give me 3 bullet points on pipeline health ``` ``` Tell me about customers (how much detail?) ``` ``` What's our growth? (in what format?) ``` ## Follow-Up Questions Adapt maintains context throughout your conversation. After getting an initial answer, drill deeper: **Initial question:** ``` What were our top-performing campaigns last month? ``` **Follow-ups:** ``` Why did the email campaign outperform others? ``` ``` Break that down by audience segment ``` ``` Compare it to the same campaign last year ``` ``` What should we do differently next month? ``` ## Multi-Part Questions Ask complex questions that require multiple analyses: ``` Compare our Q4 performance to Q3, identify the biggest changes, and explain what drove them ``` ``` Find customers who haven't logged in for 30 days, check their support history, and flag any that might be at risk of churning ``` Adapt will break these down into steps and address each part. ## What Happens Next After you ask, Adapt moves to the **Understand** phase: 1. **Plans** the steps needed to answer your question 2. **Queries** relevant data sources 3. **Analyzes** the results 4. **Synthesizes** an answer with citations Then, if appropriate, Adapt can **Act** on the insights—drafting communications, creating reports, or triggering workflows. Learn how Adapt investigates and synthesizes answers See how Adapt can take action on your behalf