AI TOOL PROFILE

AddMaple: Survey Data Analysis Software

AddMaple helps researchers and analysts perform exploratory data analysis. It is designed for teams that need to combine quantitative metrics with qualitative feedback in one place.

Pricing

Plans start at $59/month for the Starter tier, with a Professional tier at $169/month. Business plans have custom pricing, and a free tier is available to explore sample datasets.

At a glance

Best for
Solo analysts, UX researchers, Market research teams, Small to medium-sized business owners analyzing customer feedback
Key use cases
Survey Analysis, Thematic Analysis of Open-Ended Feedback, Sentiment Analysis, Exploratory Data Analysis
Integrations
Typeform, SurveyMonkey, Google Drive, Notion, Slack
Visit addmapleaddmaple software interface screenshot

How AI is used

AddMaple is a data analysis tool designed to transform raw survey files into interactive dashboards, charts, and tables. It supports researchers and analysts who need to identify patterns in survey data without manual data cleaning or complex formula setup.

The platform supports both quantitative and qualitative data, offering AI-powered thematic coding to categorize open-ended text responses across 80+ languages. It includes a statistical engine that runs significance tests (such as Chi-Square and ANOVA) to highlight relationships between variables.

For sharing, the tool supports the creation of "Story Dashboards" that can be shared via password-protected URLs. While data processing happens locally in the browser for privacy, cloud sharing is an optional feature.

Depending on the plan chosen, users have different levels of AI access, ranging from limited monthly AI chat in the Starter tier to expanded access in the Professional and Business tiers.

Key Features

  • AI-Powered Thematic Coding

    Categorizes open-ended text responses into themes and sub-themes while highlighting the specific phrases used.

  • Automated Statistical Testing

    Runs significance tests across columns—including Chi-Square, ANOVA, T-Test, and Correlations—to rank relationships.

  • Interactive Story Dashboards

    Creates shareable, password-protected reports containing charts, text, video, and images.

  • Local Browser Processing

    Processes data on the user's device rather than uploading to the cloud, unless the user chooses to publish a share link.

  • Likert Scale Visualization

    Generates neutral-aligned charts designed for opinion and Likert-scale survey questions.

  • Multi-Tag Analysis

    Detects and summarizes "select all that apply" columns without requiring manual column-splitting.

Use Cases

  • Survey Analysis

    Importing raw survey exports to generate visual summaries and cross-tabulations.

  • Thematic Analysis of Open-Ended Feedback

    Using AI to code free-text answers into categorized themes for reporting.

  • Sentiment Analysis

    Categorizing open-ended responses by sentiment to identify user pain points.

  • Exploratory Data Analysis

    Filtering and pivoting datasets to examine relationships between demographics and survey responses.

Integrations

  • Typeform
  • SurveyMonkey
  • Google Drive
  • Notion
  • Slack
  • AWS S3
  • AWS Athena
  • Airtable
  • CSV import
  • Excel import
  • SAV/SPSS import
  • JSON import

FAQ

Do I need to be a statistician to use AddMaple?

No, the software is designed for users without a statistics background, as it runs key drivers and significance tests automatically.

Is my survey data uploaded to a cloud server?

Processing occurs locally in your browser. Data does not leave your device unless you explicitly choose to publish a shareable link.

Can I share my reports with clients who don't have an account?

Yes, AddMaple supports publishing interactive dashboards via password-protected URLs with unlimited viewers and no extra licenses.

What is the difference between the Starter and Professional plans?

The Professional plan includes unlimited AI Chat, AI thematic analysis for up to 500 responses, and support for linear regression and weighted data.

Source category: Data & Analytics

Source subcategory: Survey & Feedback

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