Analysis Types

Eight specialized analysis types designed for different insights. Each produces a structured report with actionable recommendations.

Executive Summary

A comprehensive overview of your survey results — the best first analysis to run.

What You Get

• Executive summary & bottom line — The TL;DR of your results
• Detected context — AI identifies the industry, purpose, and target audience
• Key findings — Top insights ranked by importance
• Question breakdown — Per-question analysis with chart data
• Correlations — Patterns between different questions
• Risk factors & opportunities — What to watch out for and what to capitalize on
• Recommendations — Prioritized actions with effort/timeframe/owner suggestions
• Overall score — 1–100 health score based on all responses
• Next survey tips — Suggestions for improving your next survey

Best for: First-time analysis, stakeholder presentations, executive briefings.

Sentiment Analysis

Deep emotional analysis of respondent attitudes and feelings.

What You Get

• Overall sentiment & score (0–100)
• Emotional profile — Dominant emotions detected in responses
• Sentiment breakdown — Percentage positive, neutral, and negative
• Per-question sentiment — How sentiment varies across questions
• Emotion wheel — Specific emotions (joy, frustration, trust, etc.) with intensity levels (1–10)
• Satisfaction & dissatisfaction drivers — What makes people happy or unhappy
• Emotional journey — How sentiment evolves through the survey
• Positive highlights & concerns — Direct quotes illustrating each

Best for: Understanding customer satisfaction, identifying pain points, measuring brand perception.

Theme Extraction

Identifies recurring topics, patterns, and emerging trends in open-text responses.

What You Get

• Themes — Each with frequency, sentiment, percentage of responses, actionability score, and business impact
• Theme connections — How themes relate to each other
• Emerging patterns — New or growing topics
• Gap analysis — What respondents expected but didn't get
• Contradictions — Conflicting viewpoints in the data
• Word frequency — Most common terms and phrases
• Theme heatmap — Visual representation of theme prevalence

Best for: Open-ended feedback analysis, feature request categorization, support ticket themes.

NPS Deep-Dive

Specialized analysis for Net Promoter Score data. Requires at least one NPS-type question.

What You Get

• NPS score (−100 to +100) and category (Needs Improvement / Good / Great / World-Class)
• Score distribution — Count for each score 0–10
• Promoter drivers — What makes your 9–10 scorers love you
• Detractor drivers — What's causing low scores
• Passive risks & opportunities — How to convert 7–8 scorers to promoters
• Industry comparison — How your NPS compares to benchmarks
• Improvement plan — Step-by-step actions to improve NPS
• Conversion analysis — Estimated NPS improvement if specific issues are fixed

Best for: Loyalty measurement, competitive benchmarking, retention strategy.

Demographic Segmentation

Identifies respondent segments and how their responses differ.

What You Get

• Segments — Distinct respondent groups with characteristics and pain points
• Persona profiles — Detailed archetypes with communication style suggestions
• Response patterns — How different segments answer differently
• Cross-tabulations — Relationships between demographic data and responses
• Engagement levels — High, moderate, and low engagement groups
• Outlier responses — Unusual respondents worth investigating

Best for: Market segmentation, persona development, targeted marketing strategy.

Trend Analysis

Analyzes temporal patterns and how responses change over the collection period.

What You Get

• Response velocity — How quickly responses came in
• Answer evolution — How answers changed between early, mid, and late respondents
• Trending topics — Topics that gained or lost prominence over time, with chart data
• Sentiment trend — How overall sentiment changed during the collection period
• Predictive insights — Where trends are heading if patterns continue
• Early warnings — Negative trends that need attention
• Positive signals — Encouraging trends to amplify

Best for: Long-running surveys, recurring feedback programs, tracking improvement initiatives.

Action Plan

Converts survey findings into a concrete execution roadmap.

What You Get

• Immediate actions — This week, with specific KPIs
• Short-term plan — 1–3 months, with milestones and dependencies
• Long-term initiatives — 3–12 months, strategic
• Quick wins — Low-effort, high-impact actions
• Risk mitigation — Plans for identified risks
• Resource allocation — Estimated effort and team requirements
• Success metrics — Current values and target values for key metrics
• Follow-up survey — Recommended timing and question changes for your next survey
• Executive briefing — One-pager summary for leadership

Best for: Turning insights into action, project planning, stakeholder proposals.

Custom Analysis

Ask the AI any specific question about your survey data.

How to Use

1. Select Custom as the analysis type.
2. Enter your question, e.g., "What do respondents under 30 care about most?" or "Compare the sentiment of promoters vs detractors."
3. The AI analyzes all responses in the context of your specific question.

What You Get

• Query response — Direct answer to your question
• Analysis — Supporting evidence from the data
• Data points — Specific numbers backing up the findings
• Chart data — Visual data when applicable
• Related questions — Follow-up questions worth exploring

Best for: Specific research questions, ad-hoc exploration, hypotheses testing.