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Documentation Index

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VoxDash AI Chatbot

The VoxDash AI Chatbot is an intelligent analytics assistant built directly into the VoxDash platform. After creating a data project, you can use the chatbot to analyze your entire project or focus on a single uploaded file. Instead of manually building reports or writing formulas, you can simply ask questions in natural language and receive instant, data-driven insights. The AI chatbot is designed to help users quickly explore datasets, uncover trends, compare segments, and generate actionable insights without requiring advanced technical or statistical expertise.

ChatGPT Integration

VoxDash now includes seamless integration with ChatGPT, bringing powerful AI-driven analytics directly into your workflow. This integration allows users to:
  • Interact with data conversationally
  • Generate insights instantly
  • Simplify advanced analysis tasks
  • Reduce manual reporting work
  • Explore data without technical expertise
With AI-powered assistance built into the platform, VoxDash makes modern analytics faster, smarter, and more accessible for teams of all skill levels.

How to Access the AI Chatbot

To open the AI Chatbot:
  • Navigate to the File Manager page.
  • Select a project, or open a project and select a specific file.
  • Click the Ask AI button.
You will be redirected to the AI Chat interface, where you can begin interacting with your data immediately. The chatbot can analyze either:
  • The entire project dataset
  • A selected individual file depending on the context you choose.
AI chatbot

Available Analysis

VoxDash AI Chat supports a wide range of analytics and reporting functions commonly used in market research, e-commerce analytics, customer experience analysis, and business intelligence workflows. VoxDash provides ready-to-use prompt for each of these categories to ease users use.
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Demographic Analysis

Analyze how different demographic groups respond to surveys, products, or services. You can compare responses by age, gender, income level, region, education, customer type, and more. Example questions:
  • “How do customer satisfaction scores differ by age group?”
  • “Which demographic segment purchases the most frequently?”

Response Distribution Analysis

Understand how responses are distributed across survey questions, ratings, or categories. This helps identify trends, preferences, and unusual response patterns. Example use cases:
  • Viewing rating distributions for customer satisfaction surveys
  • Identifying the most selected product categories
  • Measuring approval or disagreement percentages

Missing Data Analysis

Identify incomplete responses, blank fields, or missing values within your datasets. VoxDash helps you detect data quality issues before conducting deeper analysis. The AI can:
  • Detect missing or inconsistent responses
  • Show which variables contain the most missing data
  • Recommend ways to clean or interpret incomplete datasets

Key Driver Analysis

Determine which factors have the strongest impact on outcomes such as customer satisfaction, purchase intent, loyalty, or conversion rates. Example questions:
  • “What factors most influence customer satisfaction?”
  • “Which variables are driving repeat purchases?”
This analysis is especially useful for businesses seeking actionable recommendations and performance optimization opportunities.

Satisfaction Analysis

Measure and evaluate satisfaction levels across products, services, customer groups, or experiences. The AI can help:
  • Identify highly satisfied and dissatisfied groups
  • Detect patterns in customer feedback
  • Compare satisfaction across regions, products, or time periods

Segment Comparison

Compare behaviors, preferences, or performance between different groups or categories. Example comparisons:
  • New customers vs. returning customers
  • Q1 sales vs. Q2 sales
  • Male vs. female respondents
  • High-value customers vs. low-value customers
Segment comparison helps organizations better understand customer behavior and operational performance.

Correlation Analysis

Identify relationships between variables in your dataset. For example:
  • Determine whether customer satisfaction is related to delivery speed
  • Analyze whether higher spending correlates with customer loyalty
  • Understand relationships between survey variables
The AI explains correlations in clear, easy-to-understand language.

Open-Ended Text Analysis

Analyze written responses, customer comments, reviews, or feedback using AI-powered natural language processing. The chatbot can:
  • Detect common themes and topics
  • Identify positive or negative sentiment
  • Summarize large volumes of text responses
  • Highlight frequently mentioned issues or suggestions
This feature is especially valuable for survey feedback, product reviews, and customer support analysis.

Trend Analysis

Track changes and patterns over time using historical or time-series data. Examples include:
  • Monitoring monthly sales growth
  • Tracking changes in customer satisfaction over time
  • Identifying seasonal buying behavior
  • Detecting upward or downward performance trends

Ranking Analysis

Rank products, categories, survey responses, or performance metrics based on selected criteria. Examples:
  • Top-performing products by revenue
  • Highest-rated services
  • Most common customer complaints
  • Best-performing sales regions
Ranking analysis helps prioritize decision-making and business strategy.

What You Can Do With AI Chat

With AI Chat, you can upload datasets directly into VoxDash and begin asking questions immediately. The AI understands natural language queries and returns clear, data-driven answers to help you uncover insights quickly and efficiently. Instead of relying on spreadsheets, formulas, or manual reporting, users can interact with their data conversationally. The AI can generate:
  • Summaries
  • Charts and visualizations
  • Tables
  • Bullet-point insights
  • Comparisons
  • Statistical observations
  • Predictive interpretations
This makes advanced analytics accessible to both technical and non-technical users.

Supported File Types

VoxDash AI Chat supports a variety of structured data formats, including:
  • Survey files (.csv, .xlsx)
  • SPSS datasets (.sav)
  • Excel spreadsheets
  • Structured tabular datasets
  • Multi-file project uploads
Users can upload one or multiple files within a project. The AI automatically processes the files and uses them as context for analysis. For SPSS datasets, VoxDash automatically reads:
  • Variable labels
  • Value labels
  • Metadata
  • Survey structure information
This enables more accurate and context-aware analysis.

Ask Questions Naturally

VoxDash AI Chat is designed to work like a conversation. You do not need to write SQL queries, formulas, or complex analytical commands. Simply ask questions in plain English, such as:
  • “Which political party is most likely to win based on this survey data, and why?”
  • “What are the top concerns among respondents aged 18–25?”
  • “Which products have the highest return rates?”
  • “Why are customers requesting refunds?”
  • “Compare sales trends between Q1 and Q2.”
  • “Which customer segment generates the highest revenue?”
  • “What factors are most strongly associated with customer churn?”
The AI interprets your intent and returns structured, easy-to-read answers.

Example Use Cases

Market Research

Upload survey results to:
  • Measure public opinion
  • Analyze customer preferences
  • Identify market trends
  • Predict consumer behavior

E-Commerce Analytics

Analyze sales and customer behavior data to:
  • Identify top-performing products
  • Detect purchasing trends
  • Understand customer segments
  • Reduce return rates
  • Improve conversion performance

Customer Experience Analysis

Evaluate customer feedback and satisfaction data to:
  • Discover pain points
  • Monitor customer sentiment
  • Improve service quality
  • Track satisfaction over time

Academic and Research Projects

Researchers and students can simplify complex data analysis without requiring advanced statistical software. Use VoxDash to:
  • Analyze survey datasets
  • Compare respondent groups
  • Explore correlations
  • Generate summaries and insights quickly

Tips for Best Results

To improve analysis accuracy and AI-generated insights:
  • Use clear and specific questions whenever possible.
  • Ensure uploaded files contain properly labeled column headers.
  • Organize datasets consistently before uploading.
  • Include descriptive variable names for easier interpretation.
  • Upload clean, structured data for the best analytical performance.
  • When using multiple files, ensure related datasets share consistent naming conventions.
For SPSS files, VoxDash automatically reads metadata and variable labels to improve interpretation quality.