All Platforms

Stata is a software platform for manipulating, analysing, visualising and modelling statistical data. It is used for quantitative research applications in marketing, economics, behavioural science, medicine and public policy. It includes a wide range of statistical capabilities (linear models, choice models, Bayesian analysis, Structured Equation Modelling and others), reporting and visualisation tools.

Atomo is a user research management platform for participant recruitment, content analysis and reporting. Features include Salesforce and Hubspot CRM integrations for target recruitment of existing customers; automatic transcription of audio and video recordings; coding and tagging of insights; and report creation and sharing.

Dashmote is a software platform that uses computer vision and other AI methods to provide visual and location analytics. ‘Visual Brand Intelligence’ analyses online images to extract insights based on content (concepts, colours and other attributes). ‘Visual Trend Analysis’ analyses the content and engagement rates of image-based social posts to determine the magnitude of trends. ‘Location Intelligence’ uses online data to augment profiles of retail, grocery and food & beverage outlets to help with strategic planning.

Thatswhy is a software platform for recording, automatically transcribing and summarising user and market research interviews. Using the smartphone app to record interviews, conversation highlights can be flagged during the discussion; recordings are automatically transcribed; quotes and soundbites can be highlighted, clipped and exported; and a desktop app allows summaries to be shared in ‘showcases’.

Attention Insight is a software platform that predicts where users will look while engaging with content. It helps to identify design problems and provides insights into user attention without collecting fresh data from participants. Outputs include heatmaps (visual representations of how users’ attention is distributed) and Areas of Interest (the percentage attention that different visual objects receive). The system is based on deep learning and trained with data from over 20,000 previous eye tracking studies. It claims 84% accuracy of prediction for website designs.

Glow is an agile research platform for quantitative surveys. Users can design studies from scratch or use a range of templates for concept testing, packaging evaluation, category deep dives, brand tracking, event feedback and other survey types. Surveys can be sent to customers in CRM databases or posted to online and social channels; Glow is also fully integrated with Dynata’s global panel of over 60 million respondents. Results are available in real time in online dashboards.

Signals Analytics is a software platform that uses Natural Language Processing to find trends in unstructured data. Specialising in the food and pharma industries, sources include patents, research papers and clinical trials; retail product launches; influencers and opinion leaders; business news, funding and M&A activity; retail sales data; and consumer content from social channels, review sites and blogs. Users have online access to analytics, dashboards and report sharing tools. Professional services are also available to help with analysis.

Caplena is online text analysis software for coding open-end responses to surveys. The tool enables a researcher to code responses or categorise text using a streamlined interface. The intelligent assistant continually learns how to predict codes for responses based on previous examples, and improves its effectiveness over time.

Delve is a software platform for storing, coding and analysing transcripts from qualitative market research and user experience interviews. Tags and codes can be applied to sentences or snippets of text. These can then be used to structure hierarchical summaries of quotations and speed up time to final report.

The Quilt platform uses AI to analyse social media posts, news articles, blogs, company updates and search data. An expert team of anthropologists and semioticians then interprets the machine learning outputs to understand consumer attitudes, intent and behaviour. Applications include segmentation, brand development, trend identification, product development and customer journey mapping.