Q-Scripter

Q-Scripter

AI-Powered Market Research Data Processing Automation

Transform Days of Manual Work into Minutes

Q-Scripter is an AI-powered SaaS platform developed by Maxvutech to automate market research data processing. It significantly reduces the time and effort required to create Quantum scripts, enabling data processing teams to deliver projects faster, with greater accuracy, consistency, and efficiency.

Designed by a former market research data processing professional with over two decades of industry experience, Q-Scripter addresses the real-world challenges faced by research agencies, analytics firms, and in-house data processing teams.

Why Q-Scripter?

Traditional market research data processing involves numerous repetitive and time-consuming tasks, including:

  • Creating Quantum table scripts
  • Building banners and cross-tabulations
  • Defining filter conditions and base texts
  • Creating Nets (Top Box, Bottom Box, Top 2 Box, Bottom 2 Box, etc.)
  • Preparing grid summary tables
  • Generating statistical significance tests
  • Validating table specifications manually

These activities often consume several days of effort and are susceptible to manual errors.

Q-Scripter automates these processes, allowing data processing professionals to focus on analysis, quality, and timely project delivery.

Q-Scripter

Q-Scripter_Logo

Key Features

Key Features

Automated Quantum Script Generation

Generate production-ready Quantum scripts directly from SPSS (.sav) files.

Intelligent Metadata Extraction

Automatically extracts variable information and survey metadata from SPSS files.

AI-Assisted Survey Understanding

Uses AI to analyze questionnaires and tab specifications to enrich metadata and identify filter logic, applying appropriate base texts, Nets form the QRE and tabspec, reducing manual interpretation.

 

 

Advanced Table Generation

Supports:

  • Standard tables
  • Grid summary tables
  • Multi-response questions
  • Top 2 Box / Bottom 2 Box calculations
  • Mean and Median tables
  • Statistical significance testing
  • Custom banners
  • Complex filter conditions
  • Nets

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