Your Study Results
By far the hardest part of the qualitative research study process is analyzing the incoming data because it’s unstructured compared to quantitative data. Researchers appreciate our platform’s unique tools, which speed up the process and give researchers a head start. Leverage our six key features and learn how our proprietary Fabric AI can help.
1. Video responses are organized by question
2. Enhanced transcript experience
3. Comments can be added to individual study responses
4. Respondents can be rated
5. Respondent names can be made anonymous
6. Unlimited tags can be created
One of the top frustrations of qualitative data analysis is the time it takes to digest the information, make sense of it, and bubble up key insights.
So we developed our own proprietary sentiment and emotion-based AI that provides three primary data analytic sources that free up researchers to spend more time developing insights that link to their brand, message, product or design.
The paragraph summary
The paragraph summary encapsulates the responses to any individual question in a study. To be clear: this does not summarize metadata across the entire study, only question by question.
The paragraph is written in plain English and it identifies:
Sentiment, sources of the sentiment, themes and top emotions are all hyperlinked. The videos and verbatims surfaced by our AI respond to the topic being explored in the hyperlinks.
Total mentions & emotional mentions
Fabric AI shows a count of total mentions, as well as mentions with emotional intent behind them (either positive or negative).
Researchers also benefit from our AI’s ability to surface videos and verbatims with the highest degree of emotion, and there is a search field to quickly direct researchers to specific terms of interest.
Discover the speed and power of Fabric’s AI and easy to use platform below, featuring a real study conducted by 3 PhDs at MSFT in 2021!