Yabble Count

Count is a key feature of our revolutionary AI-powered insights generator. 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 Hey Yabble 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. 

Hey Yabble Count is currently in limited early release with customers. 

Future releases will include the ability for you to quickly and easily upload your data, select the open-text columns you want Hey Yabble to count, and import that data into the platform ready for analysis. You’ll also be able to enable this on new surveys you create within Yabble. 

Interested in signing up for Count once it’s in wider release? Get in touch at hello@yabble.com. 

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 -1 to 1. 

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. 
• Comment sentiment. You’ll also be able to view sentiment on an individual comment level, indicating at a glance whether a particular comment is positive, neutral, or negative. 

Sentiment score is based on a scale of -1 to 1 and is calculated using Google algorithms. The thresholds are: 

• Positive = 0.15 < x ≤ 1 
• Neutral = -0.15 ≤ x ≤ 0.1 
• Negative = -1 ≤ x < -0.15 

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 
• Theme sentiment
• Demographics (pulled through from your data)
• Questions (pulled through from your data) 

Future releases will include the ability to filter by sub-themes as well. 

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. This box links to our Query feature, enabling you to run a Query 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). 

You can, although we highly recommend running a count first so you can see where your money will be best spent on querying. 

Count enables you to identify the areas of your dataset that are worth diving deeper into. With that knowledge, you can run summarizations on highly relevant areas that are likely to deliver the best value for you and your business. 

But if you already know where you’d like to focus a summarization query, here’s the process: 

• From the Yabble homepage, launch a new Query. 
• Select your project and question, and give your Query a name. 
• Add your filters (we highly recommend doing this before running your Query). 
• Input your open-ended question into the assigned field. 
• Click “Check.” From here, the engine will run your query on a sample of your data. This will allow you to check that the test summary is what you expect.
• If you’re happy with the test summary, complete your insight by selecting the number of comments you want to run your query on and confirming payment.
• View summarization results for your entire Query. 

Yep, and we recommend you do! To ensure Yabble is analyzing the relevant data and that you’re getting the results you’re looking for, we enable you to run a free test on your dataset prior to running your full query. 

Tip: make sure you set your filters before running the test! 

You can create a new query in one of two ways: 1) by creating a new tab at the top of your screen (you’ll need to select your project and question) or 2) by going straight from your Explore page. The second option will pre-fill your project and question for you. 

To run your test, follow these instructions: 

• Give your Query a name. 
• Add your filters (we highly recommend doing this before running your Query). 
• Input your open-ended question into the assigned field.
• Click “Check.” From here, the engine will display your test summary. 

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