AI Insights

UserLoop's AI engine automatically analyzes your survey responses and surfaces actionable insights — so you can focus on running your business instead of reading through hundreds of individual answers.

There are three types of AI insights: Topic Extraction for open-ended questions, Answer Insights for single and multi select questions, and Dashboard Summary Cards that highlight the most important findings across all your surveys.

How It Works

When you view the Analytics tab for a survey, UserLoop generates insights in the background. Results are cached for 30 days and refresh automatically as new responses come in, so you always have up-to-date analysis without waiting.

Topic Extraction (Open-Ended Questions)

For open-ended questions like "What almost stopped you from buying today?" or "Is there anything you'd like us to improve?", UserLoop's AI reads through every response and groups them into common themes.

Each theme includes:

• Theme name — A short label describing the topic (e.g. "Shipping Concerns", "Product Quality", "Website Navigation").
• Frequency — How many responses mention this theme.
• Percentage — What proportion of total responses this theme represents.
• Total Sales — The combined order value of customers who mentioned this theme.
• AOV — The average order value for customers in this theme.
• Sample responses — Real customer quotes so you can see exactly what people are saying.

This helps you quickly spot patterns. For example, if 25% of responses mention "slow shipping" and those customers have a high AOV, that's a clear signal to prioritize shipping improvements.

Answer Insights (Single Select and Multi Select Questions)

For choice-based questions like "How did you hear about us?" or "What are you most interested in?", the AI goes beyond simple response counts. It analyzes the behavior and spending patterns behind each answer option.

Each insight includes:

• Title and description — A plain-English summary of the finding.
• Business impact — An actionable recommendation based on the data.
• Confidence score — How statistically reliable the finding is.
• Primary finding — The key metric, with a comparison to your baseline. For example: "Customers who selected 'Instagram' have a 45% higher AOV than average."
• Supporting data — Additional context including top products purchased, marketing attribution (UTM sources), and discount code usage.
• Sample responses — Real customer data points that support the insight.

What Gets Analyzed

The AI looks at multiple dimensions for each answer option:

• Revenue metrics — Total revenue, AOV, and order counts per answer.
• Product preferences — Which products are most popular among customers who chose each answer.
• Marketing attribution — Which UTM sources, mediums, and campaigns drive customers to each answer.
• Discount usage — Which discount codes are most common per answer group.
• Cross-question correlations — How answers to one question relate to answers on other questions in the same survey.

Dashboard Summary Cards

On your main dashboard, UserLoop shows summary cards that highlight the most compelling insights across all your surveys. These cards are curated from your cached topic and answer insights, scored by a combination of statistical confidence, business impact, and freshness.

Each card includes:

• Title — A short headline summarizing the insight.
• Description — A one or two sentence explanation.
• Primary metric — The key number that drives the insight.
• Impact tags — Categories like Retention, Acquisition, Pricing, Product Quality, or Customer Experience that help you quickly understand what area of your business the insight relates to.

Tips for Getting Better Insights

• Collect more responses — AI analysis improves with more data. Aim for at least 30-50 responses before relying on insights.
• Include transaction data — Revenue metrics, products, and UTM parameters make insights significantly more actionable. Make sure your survey is capturing order data (this happens automatically for checkout and email surveys).
• Use specific questions — Focused questions like "What almost stopped you from buying?" produce better themes than vague ones like "Any feedback?"
• Check back regularly — Insights refresh as new responses come in, so trends may shift over time.

Need Help?

If you have any questions about AI insights, reach out to us via live chat and we'll be happy to help.

Updated on: 26/02/2026