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.

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

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 - Proactive recommendations
• Qualitative Analysis - Deep text analysis
• Quantitative Analysis - Statistical analysis

Transform your data into decisions with Ask AI!