FAQs

The Yabble ChatGPT Plugin is the ultimate end to end AI solution for research.  Making insights in minutes a reality. 

• Specify your topic of interest, then review, amend or approve the questions built on Yabble’s decades of research expertise.  
• Specify your desired audience using demographic and behavioural characteristics or simply approve Yabble's suggestion based on your topic.
• Using augmented data, Yabble’s ChatGPT plugin provides instant answers to your questions.  
• To run a larger study, add additional data sources or download the data for further analysis use the link provided and sign up to a 30 day free trial in Yabble to explore the full power of AI for insights.

Sign up to ChatGPT’s Plus service then select the Yabble plugin from the plugin store. Discover more here

Augmented data uses the combined knowledge of ChatGPT, social media and global trend data to create a unique AI-generated audience to answer your research questions.  This unique approach via the Yabble plugin provides increased relevancy and recency of data above what ChatGPT alone can provide.

Yes, the Yabble ChatGPT plugin has a very broad range of knowledge and should be reliable for most topics and markets.  If you have a highly specialized topic and need a different research approach contact the Yabble team via hello@yabble.com

The number of topics you can research is unlimited.    For each topic, there is a limit of 50 completed responses within the ChatGPT plugin environment.  This gives a good indication of what a market is thinking or feeling on any topic.  This size limit ensures the product works quickly in the plugin environment.   If you want to add more data for additional insights, sign up to Yabble’s 30 day free trial.

At the end of each project using the plugin you will be provided with a link to the Yabble platform. This link identifies your project in the Yabble platform and enables you to: 

• Run additional analysis on your data  
• Collect additional data to enhance your project
• Download your insights
   

When using the plugin in the ChatGPT store you are subject to the terms and conditions of use for your own OpenAI account.  We encourage you to check your data sharing and privacy settings.

When you transfer to the Yabble platform you are covered by Yabble's security and privacy settings which include ensuring that your data does not pass to OpenAI to train their models.

The Yabble ChatGPT plugin is free to use.  It generates up to 6 research questions and populates 50 completed responses with an insight summary provided. 

If you would like to conduct a larger study, run additional analysis or download the data sign up to our 30 day free trial in Yabble to explore the full power of AI for insights.  If you are an existing Yabble user, click the Yabble link in ChatGPT and login using your existing credentials to see your data.

Gen is the ultimate AI research assistant.  A chat product, currently in Beta release, ask any questions of your data at any time.   Use it to iterate and dive deeper into topics.

This means Gen is available to use now and that there is also a range of features still to be made available in future releases.

Gen is free to use in Beta release. A range of pricing options will be available upon full release.

Yabble's automated AI solutions take the heavy lifting our of data coding. Just link or upload your data, and let our automated AI solutions do the rest. Using a combination of cutting-edge and proprietary algorithms and technology, it takes any unstructured text data and analyzes it for themes, sub-themes, and sentiment. 

The insights Count provides enable you to immediately identify the key things you can do to drive business growth. They also highlight opportunities for queries, guiding you to areas you can mine for even deeper insights. 

Count helps you pinpoint places for improvement, allows you to optimize your customer and brand experiences, and validates business strategy and decisions. 

Count is capable of analyzing data from nearly any source, including survey responses, product reviews, and unnested comments from social media. Future releases will include more advanced social media data and call center data. 

Theme and sub-theme counts allow you to unlock immense value from your text data. They enable you to see the most talked-about subjects within a particular dataset and can tell you instantly where the biggest drivers and inhibitors of your business lie. 

Themes are one- to two-word subjects that highlight the main areas of response within your dataset. These are high-level buckets such as management, customer service, online shopping, and shipping. 

Sub-themes add layers of rich detail to your themes. For each theme that Yabble Count generates from your dataset, you’ll see all the sub-themes that sit underneath it, be they positive, neutral, or negative. For example: 

Theme: Parking 

Sub-themes: Spacious parking spots, Good location, Expensive parking, Too busy/not enough availability  

Sub-themes are one of the true goldmines of Hey Yabble and allow you to: 

• Pinpoint the precise areas where you can improve to drive business growth. 
• Understand customers’ pain points and solve their problems. 
• Make data-driven decisions. 

Sentiment gives you an indication of how people feel about a particular subject. Yabble provides in-depth sentiment analysis, displaying it in the form of a sentiment score that gives you an immediate numerical snapshot of the positive, negative, and neutral feelings around a particular subject. The sentiment score on themes ranges from -100 to 100. 

Yabble generates two types of sentiment: 

• Overall sentiment. This indicates the sentiment breakdown within your entire dataset. It’s displayed as a donut chart at the top of your dashboard, separated into easily understandable, color-coded sections. Positive is green, neutral is orange, and negative is red. 
• Theme and sub-theme sentiment. Count calculates sentiment for each individual theme and sub-theme, displaying sub-theme sentiment in the form of an emoticon. Positive is green, neutral is orange, and negative is red. (For instance: you would see a red emoticon next to the Parking > Small spaces sub-theme.) If you hover over the emoticon, you’ll see a detailed count and percentage breakdown of the positive, neutral, and negative buckets.  

The filter functionality allows you to filter by different variables and to hone in on certain segments of your results. You can filter by: 

• Anything you upload (these data parameters come through as custom variables) 
• Response date 
• Comment sentiment 
• Themes
• Sub-themes
• Theme sentiment
• Demographics (pulled through from your data)
• Questions (pulled through from your data)

Your Explore page displays a clear, concise visualization of the analysis Yabble has performed on your dataset. 

Your overall sentiment score sits at the top, next to a box displaying correlation between themes and sentiment. Click on the Gen icon in the top right corner to run a Gen chat straight from your counting results. 

Below your sentiment score, you’ll see two tabs marked Themes and Sub-themes. You’ll also see the Comments/Filters sidebar to the right. 

The Themes tab displays the top-level themes from your dataset, alongside percentage and sentiment scores for each. Percentage indicates the frequency with which that theme arose during analysis. 

If you click the arrow (>) next to a theme, your sub-themes will populate underneath, alongside their own percentage counts and sentiment (displayed as emoticons). 

The Sub-themes tab displays all your sub-themes in one list. They’re ordered from highest to lowest count, irrespective of their parent themes — but you can see the corresponding theme listed next to each in parentheses (i.e. Spacious parking spots (Parking)). Note: the order of sub-themes in the overall Sub-themes tab may differ from the order of sub-themes under each parent theme. 

Hovering over the emoticon next to a sub-theme will generate that sub-theme’s individual sentiment score (counts and percentages for positive, neutral, and negative). 

Definitely! The current release of Count allows for simple data export via an easily shareable CSV  and SPSS format. Later product releases will include more export formats. 

Summarize is designed specifically for analyzing in-depth interviews. Saving up to 80% of analysis time by synthesizing results into key challenges, opportunities, actions and conclusions.

Yes, once all interviews have been analyzed, an Executive Summary will provide all of the key areas of focus for the researcher to begin focusing on in their reporting.