Synthesize findings with summaries

In this demo video, Hien from our product team shows you how to use our Synthesize feature to quickly transform raw survey responses into organized findings and actionable insights.

Watch as Hien demonstrates both AI-generated and manual summary options that help you identify patterns and themes without spending hours analyzing data. Learn how to create summaries at the question, section, and test levels, edit AI-generated content to add your own observations, and organize your research findings in a way that's easy to share with stakeholders.

Transcript

Analyzing research results can be time consuming and overwhelming, especially for teams working at pace. I'm Hien, a product manager at Lyssna, and in this video I'll demonstrate our Synthesize feature, which helps teams quickly distill raw feedback into clear and organized findings and themes. We'll be exploring our AI generated summaries and manual summaries offerings.

Let's get started. Okay, let's head to the dashboard and select a survey with responses.

You'll find the Synthesize popover menu upon hovering over questions with responses on the results page.

Once you've clicked on the popover, a menu will appear with options to generate a summary using AI for eligible questions, or to write a summary manually. Let's explore AI generated summaries first. AI generated summaries are currently available [00:01:00] on text, linear scale ranking, single, and multi-select question types. This is great raw data, but time consuming to identify common themes and patterns.

I'll click on generate question summary and review the AI summary provided

I have the option to regenerate the summary if I'd like another version. Do us a favor and use thumbs up and thumbs down buttons to let us know about the quality of your summary and to help us improve.

I'm happy with this summary, so I'll choose to add it to my question where it'll display as a collapsible summary block that my team can see. I want to add some more notes into this summary. So I'll click edit to make my changes and save them.

I can also delete this summary if I decide I no longer need it later on. AI can make mistakes, so I'll check the accuracy of the content before sharing with my stakeholders.

I'll generate some more summaries on this linear scale question to save myself some time in my analysis.

I will also generate one on this multi-select question.

Let's explore manual summaries now. Manual summaries are available on text, linear scale ranking, single, and multi-select question types. Manual summaries can be also be created at a section level and test level.

We'll go to the Synthesize menu and select write question summary. Now I can write my findings and observations into the collapsible summary block. I can use markdown here for simple formatting.

This all looks good.

I can also write a manual summary for a test section. I'll go to the Synthesize popover menu and select write section summary. I'll write a bullet list of key insights from the questions in this test section and hit save to add the summary block to my results. This is a handy feature if you want to consolidate key insights across multiple questions within a test section.

I can also write a manual summary to consolidate my key insights across a whole test. I'll click on add summary, type in my key takeaways, and hit save to add the summary block to my results. As you can see, the AI generated a manual summary Synthesize features can help you organize and analyze raw feedback into clear editable insights quickly. To get started, I encourage you to explore the feature for yourself or check out our AI help articles and templates on lyssna.com, which are designed to help you hit the ground running.