Transcriptions allow you to import audio and video files from your device. Insights Hub transcribes the file and extracts insights. You can store and analyze the insights along with feedback from other sources.

The Insights Hub not only saves you time and the need to manually go through every call or interview, but also lets you know what issues or subjects customers talk about.

The maximum size of the uploaded file can be 2GB. Supported formats are .mpa, .mpeg, .mp4, .wave, .wav, .ogg.

The uploaded file will be transcribed in a matter of seconds - after a moment, you will see the transcription added to your Insights Hub as a piece of feedback.

By opening this piece of feedback, you'll be able to see insights we automatically extracted from the file, as well as switch to the Full content view to read the whole transcript with the conversation divided into Speakers (whose names you can edit):

Insights, automatically extracted from the transcription, will be assigned to Topics in the Hub.

Other columns of the imported file can include additional data, such as User traits, Response traits, and Topic names that you can map to your preferred fields in the Hub:

The first two fields in the pop-up window are mandatory to fill out. Here, you can specify which column of your CSV file is the feedback you wish to import, and what date should be assigned to the pieces of feedback.

Additionally, you can map data from the file's certain columns as user or feedback attributes, which will be visible next to each feedback piece in the Hub:

When importing a CSV file, you can choose a column that contains predefined Topic names. Insights Hub will automatically recognize the values in that column and create the Topics you uploaded. If you already have some Topics in your Hub, it will assign feedback pieces to those existing Topics.

Please note that there is a limit of 200 unique topics per file. If the file contains more than 200 topics, the column cannot be used for import.

At any point, you can add your own Topic, add a description which will help us assign correct feedback to this Topic, and enable or disable auto-assignment of feedback.

If you prefer to only assign feedback to this Topic manually, you can toggle off the Feedback auto-assignment option.

When new Topic recommendations are ready, you will see a green badge indicating new recommendations.

Remove the Topics you don't want to add to your list by clicking the ⊖ icon and add the remaining ones:

🚀 Using custom Topics will help you get the best possible Insights, not just the ones generated in more standard Topics.

You can share a chosen Topic with your Survicate teammates. Clicking on the Share topic button will generate a hyperlink that, when shared with your colleagues, will lead them to this Topic in the Insights Hub:

Both exports can be downloaded as XLS or CSV files, which you can share with colleagues who may not have access to Survicate.

The export will contain columns with data about the Feedback content, author, source, information about which Insights and Topics it's assigned to, and more.

You can pin an Insight to make sure that it won't disappear when new feedback causes Insights to be regenerated.

Additionally, a pinned Insight is placed on top of other Insights within a Topic, making it easier to find.

You can modify the name and the description of each Insight. Additionally, renaming an Insight or its description will cause the AI model to adjust the way it assigns new feedback in the future to this Insight:

Both exports can be downloaded as XLS or CSV files, which you can share with colleagues who may not have access to Survicate.

The export will contain columns with data about the Feedback content, author, source, information about which Insights and Topics it's assigned to, and more.

It also creates a list of Resolved Insights, where you can see insights that you've addressed:

By clicking on one of the feedback pieces, you will see information such as Feedback details and User attributes, and you will have the option to share a link to this note, delete it, or move to the previous or the next note:

💡 Tip: use O on your keyboard to see the previous note and P to see the next one.

The export will contain columns with data about the Feedback content, author, source, information about which Insights and Topics it's assigned to, and more.

Firstly, we use large language models (LLMs). We train the system to concentrate on genuinely important information rather than just what's popular in the dataset.

For example, when importing conversation data from Intercom we filter them, so that only relevant insights get into Survicate.

When chatting with the Research Assistant, it has the access to all your survey results, but when categorizing single pieces of feedback into topics and insights we focus only on survey responses that contain open-text feedback.

Finally, the UI and UX let you explore your feedback in a extremely efficient way, so that you can easily focus on what's relevant and quickly skip trends that are irrelevant to your inquiry.
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You can import data from various sources in any language. The feedback pieces will be visible in the Hub in their original language, while the Insights and Topics that feedback is categorized into, will be in English.

Insights in each Topic are regenerated when new data came in that influences the existing insights or can be used to generate new insights.

After you connect sources, feedback will appear in the Insights Hub in real time. Additionally, if you upload data via CSV files or manually, all the new feedback pieces will allow the Hub to reevaluate existing Insights, regenerate them, and/or create new ones.

Apart from automatically generated Topics and Insights, you also get to use the Research Assistant to make the most of your data.

You can analyze feedback stored in the Insights Hub and on your surveys with the Research Assistant.

Navigate to Research Assistant at the top of your Survicate Panel:

Here, thanks to AI, you can ask the Assistant to identify trends and key issues that the respondents report or to better understand customer opinions on your products, services, and business.

The answers are based on data from sources you connected to the Insights Hub, as well as feedback from the surveys on your Survicate account.

Feel free to ask follow-up questions if the first answer isn't clear or suitable enough.

You can even specify a timeframe to analyze, such as What was the most requested feature in the past 30 days?