> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://typeform.ferndocs.com/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://typeform.ferndocs.com/_mcp/server. # Ask AI Query your form data using natural language. Ask AI transforms how you analyze responses, letting you get insights without manual analysis or complex filtering. ## What is Ask AI? Ask AI is your intelligent data analyst. Instead of manually filtering, sorting, and analyzing responses, simply ask questions in plain English and get instant answers. > **Info** > > **Natural Language Analytics**: No SQL, no formulas, no complex > interfaces—just ask and get answers. ## How It Works ### Ask Questions, Get Answers Type questions naturally: * "What are the main complaints in the feedback?" * "How many people rated us 9 or 10?" * "Show me trends from the last 30 days" * "What do customers say about pricing?" * "Compare satisfaction scores by region" ### Intelligent Understanding Ask AI interprets your question and: 1. Identifies relevant data points 2. Performs appropriate analysis 3. Generates visualizations if helpful 4. Provides actionable insights 5. Suggests follow-up questions ## Getting Started ### Navigate to Results Open any form and go to the **Results** tab ### Click Ask AI Find the **Ask AI** button in the top menu bar ### Type Your Question Enter your question in natural language ### Review Results Get instant answers with supporting data and visualizations ## Question Types ### Quantitative Questions **Counts & Totals** ``` - "How many responses did we receive?" - "How many people selected option A?" - "What's the total number of 5-star ratings?" ``` **Averages & Statistics** ``` - "What's the average satisfaction score?" - "What's the median response time?" - "Show me the standard deviation" ``` **Comparisons** ``` - "Compare satisfaction scores by department" - "How do results differ by region?" - "Show me NPS by customer segment" ``` ### Qualitative Questions **Theme Identification** ``` - "What are the main themes in the feedback?" - "What do people complain about most?" - "What features are requested most often?" ``` **Sentiment Analysis** ``` - "What's the overall sentiment?" - "Are responses mostly positive or negative?" - "Show me the most positive and negative comments" ``` **Specific Content** ``` - "What did people say about pricing?" - "Find all mentions of customer support" - "Show me feedback about the new feature" ``` ### Trend Analysis **Time-Based** ``` - "How have scores changed over time?" - "Show me responses from last week vs this week" - "What's the trend in the last 30 days?" ``` **Predictive** ``` - "Will satisfaction improve or decline?" - "Predict next month's response volume" - "Identify potential issues before they escalate" ``` ## Advanced Queries ### Multi-Part Questions Ask complex, multi-faceted questions: ``` "What's the average satisfaction score by region, and how does it correlate with response time and product usage?" ``` ### Conditional Analysis ``` "Show me feedback from customers who rated us below 5 AND mentioned pricing" ``` ### Custom Segmentation ``` "Create segments based on NPS scores and show me the characteristics of promoters vs detractors" ``` ## Results & Visualizations ### Answer Formats **Text Summaries** * Bullet-point insights * Key findings * Recommendations * Anomaly alerts **Data Tables** * Sortable columns * Exportable to CSV/Excel * Filterable results * Custom formatting **Visualizations** * Bar charts * Line graphs * Pie charts * Word clouds * Sentiment charts * Trend lines ### Exporting Results Export any Ask AI result: * Copy to clipboard * Download as PDF * Export as image * Share via link * Add to report ## Use Cases ### Customer Success Team **Question**: "What are the top 3 reasons customers are dissatisfied?" **AI Response**: > Based on 234 responses: > > 1. **Slow customer support** (mentioned 89 times) - Average wait time complaints > 2. **Pricing concerns** (mentioned 67 times) - Value perception issues > 3. **Feature limitations** (mentioned 56 times) - Missing integrations > > *Recommendation*: Focus on support response times and highlight existing features better. ### Product Team **Question**: "What features do users want most, and which user segment is requesting them?" **AI Response**: > Top feature requests: > > 1. **API improvements** - Requested by 45% of Enterprise users > 2. **Mobile app** - Requested by 62% of Small Business users > 3. **Advanced analytics** - Requested by 38% of Mid-Market users > > *Insight*: Mobile app would have broadest impact across segments. ### Marketing Team **Question**: "How effective was our latest campaign? Compare to previous campaigns." **AI Response**: > **Current Campaign Performance**: > > * Response rate: 18.5% (↑ 3.2% vs last campaign) > * Completion rate: 76% (↑ 8% vs last campaign) > * NPS: 42 (↑ 7 points vs last campaign) > > **Key Success Factors**: Better subject line, shorter form, mobile optimization ## Best Practices ### Writing Effective Questions **Be Specific** ``` ❌ "Show me data" ✅ "Show me satisfaction scores from the last month" ``` **Include Context** ``` ❌ "What's wrong?" ✅ "What are the main complaints in customer feedback about our checkout process?" ``` **One Question at a Time** ``` ❌ "What's the NPS and what do people say about features and pricing and support?" ✅ "What's the current NPS score?" (then) "What do customers say about pricing?" ``` ### Interpreting Results * Review supporting data, not just summaries * Check sample sizes for statistical significance * Look for patterns across multiple queries * Verify unexpected findings * Consider temporal context ## Limitations & Considerations ### Current Limitations * Requires minimum 10 responses for meaningful insights * Best with forms that have structured data * Cannot access data from other forms (yet) * English language optimized (other languages in development) ### Data Quality Ask AI is only as good as your data: * Clear, well-structured questions get better results * Consistent response options improve analysis * More responses = more accurate insights * Clean data = reliable insights ## Privacy & Security ### Data Protection * Queries are not stored with response data * Analysis happens in secure environment * GDPR and CCPA compliant * Enterprise encryption standards ### Access Control * Respects form permissions * Team member access levels maintained * Audit logs for compliance * Data residency options ## Coming Soon Future capabilities: * Cross-form analysis * Custom AI training on your data * Automated insight reports * Scheduled queries * API access * Multi-language support ## Related Features * **[Smart Insights](./smart-insights)** - Proactive recommendations * **[Qualitative Analysis](./qualitative-analysis)** - Deep text analysis * **[Quantitative Analysis](./quantitative-analysis)** - Statistical analysis Transform your data into decisions with Ask AI!