Summariser

This guide is covering Summariser and how to use it. 

In this article 

• About Summariser
• Prompts
• Summary
• Insights
• Verbatim 

About Summariser

Summariser uses AI to turn your dataset into clear, written insights.

It helps you quickly understand key findings, compare groups, and identify patterns across your data.

You work with prompts to generate summaries, question-level insights, and verbatim analysis.

Summariser respects the Headers and Filters you define in Tables and can reuse insights directly in Tables and Slides

1. Prompt 

Start by writing a prompt - either create your own, or get inspired by using one Norstat's predefined prompts. 

You can write in any language. Make sure to choose, which language you would like to receive the insights in. 

Default output language is English. 

You can at any time create a new prompt, to generate new insights. Previous prompts and results are saved in 'Chat history'. 

If you make changes to your Headers in Tables settings, you must re-run your prompt, in order to use Summariser insights in Tables or Slides. 

2. Summary

Summariser will give you a thorough Executive Summary of your dataset, based on your prompt. 

Summariser will use your Headers & Filters you are creating in Tables, when generating insights on your dataset. 

3. Insights

These are AI Insights broken down per questions. It will also take into account, if you have made any Headers or other Tables settings. 

4. Verbatim analysis 

Summariser turns your open-ended questions into actionable texts. 

• Summary: An overall summary of your question. 
• Themes: Based on the answers given, Summariser categorises your data into different themes. 
• Sentiment: Answers are coded as Positive, Neural & Negative. 
• Insights: Summariser gives you up to 5 Key Takeaways based on the answers. 
• Wordcloud: Based on the most-used open answers, a Wordcloud is created