Q Research Software logo

Q Research Software

by Displayr
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ActiveAvailable globallyCloud
Quick facts
VendorDisplayr
Year launched
StatusActive
LocationSydney, Australia
Countries servedGlobal
Languages11
Integrations1+
Free tier
Free trial
Contact sales

About Q Research Software

Q Research Software is a data analysis software from Displayr that supports survey analysis and reporting. It provides features such as advanced statistical analysis, dynamic reporting, and data visualization tools so users can effectively interpret and present their data. The software allows for the integration of multiple data sources, offers a wide range of statistical tests, and facilitates easy collaboration and sharing of findings. Q Research Software is particularly useful for researchers and analysts working in market research, social sciences, and academia. Key capabilities: advanced statistical analysis dynamic reporting data visualization tools collaboration features multiple data source integration Best for: researchers and analysts that need to analyze and report on survey data.

Q Research Software by Displayr stands out as a highly specialized and purpose-built tool for market researchers, delivering exceptional efficiency and precision across the entire research analysis lifecycle. Designed to streamline the traditionally time-consuming tasks associated with data cleaning, statistical testing, and report generation, Q allows researchers to focus on extracting insights and crafting compelling narratives instead of getting bogged down by repetitive technical work. Its intuitive interface is tailored for non-coders and analysts alike, offering a familiar tabbed structure and intelligent automation that selects the appropriate statistical methods for each analysis. By doing so, it significantly reduces the barrier to entry for those unfamiliar with deep statistical theory, while still retaining the flexibility and power needed by advanced users. What truly distinguishes Q is its automation capabilities, which handle many of the mundane aspects of market research—such as auto-coding, statistical testing with appropriate corrections, and replicating complex tables and charts. It supports a wide array of advanced statistical and modeling techniques, including cluster analysis, latent class analysis, regression models, and specialized tools like MaxDiff and Conjoint.

Pros & Cons

What users like
  • +Fast Insight Discovery: Easy creation of filters, weights, and segments combined with cross-tabs helps uncover data stories quickly.
  • +User-Friendly for Researchers: Intuitive interface tailored to market research workflows; minimal coding required.
  • +Advanced Analytics Support: Offers regression, segmentation, MaxDiff, and other statistical tools for deeper analysis.
  • +Offline Capability: Desktop-based software doesn’t require internet access for data processing.
  • +Cost-Effective: Lower cost compared to alternatives like SPSS; suitable for startups and small businesses.
  • +Strong Coding Tools: Efficient variable coding and manipulation save time on large projects.
  • +Self-Learning Resources: Includes helpful training tools and documentation for new users.
  • +Reliable Backup Tool: Can be used alongside Displayr to troubleshoot and fix data issues.
What users flag
  • Steep Learning Curve for Beginners: Data manipulation may be challenging without prior experience.
  • Limited Visualization Customization: Some users find charting and output styling less flexible.
  • Internet Dependency for Some Features: Certain functions may require online access.
  • Outdated Results Risk: May not always reflect real-time or future-oriented insights.
  • Documentation Gaps: Some users report missing or unclear documentation for advanced features.
  • Less Feature-Rich Than Displayr: Displayr offers broader capabilities for reporting and dashboarding.

Features

Key features

Automated "Grunt Work"
Automatically handles data cleaning, formatting, statistical testing, table generation, and report reproduction.
DIY Advanced Analysis
Empowers users to conduct complex statistical and machine learning analyses (like MaxDiff, Conjoint, Latent Class) without extensive training or outsourcing.
Seamless Reporting & Microsoft Office/Displayr Integration
Facilitates effortless storytelling with strong visualization capabilities and direct export/update to Microsoft Office and Displayr dashboards.
Designed Specifically for Market Researchers
Tailored to the unique needs and common workflows of market research professionals.
Automated Reporting & Updating
Enables automatic updating of analyses and reports, saving time, especially for tracking studies.
24-Hour Free Expert Support (Business Days)
Provides readily available support from specialists to assist users.

Additional features

Automates the Grunt Work
Automates tasks such as cleaning and formatting data, statistical testing, generating tables, updating analyses, and reproducing reports.
DIY Advanced Analysis and Visualization
Allows users to perform advanced statistical analysis and create visualizations themselves.
Machine Learning & Statistical Techniques
Uses smart systems and automation for methods including correspondence analysis, latent class analysis, regression, MaxDiff, Shapley, and TURF.
Full R Language Support
Fully supports the R language for advanced users who wish to write code.
Create Reports
Helps users design reports to share insight-filled stories.
Visualize Information
Tools to visualize data to show patterns.
Seamless Microsoft Office Integration
Integrates effortlessly with Microsoft Office (PowerPoint, Excel, Word) for report generation and updates.
Seamless Displayr Integration
Integrates with Displayr for creating interactive online dashboards.
Automatic Updating
Projects and reports can be automatically updated with new data.
Crosstabs
Enables the creation of cross-tabulation tables.
Survey Analysis
Specifically designed for analyzing survey data.
Weighting
Tools for applying and managing data weights for accurate insights.
Driver Analysis
Quantifies the relative impact of different factors on an outcome.
MaxDiff Analysis
Supports MaxDiff (Maximum Difference) scaling for preference measurement.
Correspondence Analysis
Performs correspondence analysis for visualizing relationships between categorical variables.
Conjoint Analysis
Facilitates conjoint analysis for understanding consumer preferences.
TURF Analysis
Supports Total Unduplicated Reach and Frequency analysis.
Tracking Analysis
Designed for analyzing longitudinal data and tracking studies.
Segmentation
Enables user segmentation based on data patterns.
Statistical Testing
Automatically applies appropriate statistical tests, including t-tests, z-statistics, p-values, and corrections (Bonferroni, False Discovery Rate).
Editable Office Graphics
Exports charts and graphs that are editable within Microsoft Office.
Data Export Formats
Exports data to Excel (tables, charts, raw data), PowerPoint (tables, charts), Word (tables, charts), PDFs, SPSS files (.sav), CSV files, and QPacks.
Coding Text Data
Features for single and multiple response coding, back coding, sharing code frames, and automatic coding of identical text.
Creating Variables
Supports automatic creation of standard variables (sums, averages, counts), Excel-style formulas for simple variables, and JavaScript for complex variables.
Filters
Allows applying multiple filters to tables and creating simple or advanced Boolean-logic filters.
Multivariate Statistics
Includes Principal Components Analysis, Latent Class Analysis (categorical, numeric, rankings), K-means Cluster Analysis, and Multiple Correspondence Analysis.
Predictive Modeling
Offers Multiple Regression, Binary Logit, Ordered Logit, Multinomial Logit, Regression Trees, and Classification Trees.
Data Import Formats
Works with SPSS data files (.sav), SPSS syntax files (.sps), Triple S (.sss), Excel files (.xls and .xlsx), IBM SPSS Data Model files (.mdd), and CSV.
Data Merging
Can merge observations and variables to a data file, and stack data files.
Time Series Plots
Generates time series plots for tracking studies.
Detailed Statistical Outputs
Provides a wide range of statistics including correlation, average, percent, coefficient, p-value, standard deviation, percentiles, sample size, effective sample size, and more.
Automatic Question/Variable Grouping
Automatically groups variables into questions and grids.
Automatic Weight Application
Automatically applies weights to data.
Outlier & Small Sample Size Checks
Automatically checks for outliers and small sample sizes.
Smart Tables
Automatically identifies the most interesting tables.
Dynamic Computations
Nearly all computations are dynamic and automatically update with data changes.
Online Dashboards
Can create online dashboards (hosting priced separately).

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
11
Interface languages
12
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseChineseJapaneseKoreanRussianArabic

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇨🇦CAD🇦🇺AUD🇨🇳CNY🇮🇳INR🇧🇷BRL🇷🇺RUB🇰🇷KRW🇲🇽MXN

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