# Insights ## Introduction to Insights {% hint style="success" %} In this tutorial you will learn how to generate and qualify insights from customer feedback. {% endhint %} Insights are **key observations** and **finding** distilled from customer feedback such as [interviews](https://help.timebook.ai/hc/get-started/discovery/interviews). Instead of analyzing the feedback manually which can be very time-consuming, Timebook equips you with a powerful AI engine which captures and prints the key points in just a couple of minutes. ## Data entry points Timebook provides three entry points for customer feedback: 1. [Interviews](https://help.timebook.ai/hc/get-started/discovery/interviews) 2. [Email tickets](https://help.timebook.ai/hc/get-started/feedback#email-inbox) 3. [Surveys](https://help.timebook.ai/hc/get-started/discovery/surveys) Each item is available from the top navigation bar of a team:

{% hint style="warning" %} If you don't see the tabs in your team, it means they need to be activated by the workplace administrator in the **team settings** ⚙️. {% endhint %} ## Generating insights Insights are generated with from feedback items with a designated button. Below you can find the location for each type of feedback data. {% tabs %} {% tab title="Interview" %}

{% endtab %} {% tab title="Survey" %}

{% endtab %} {% tab title="Feedback ticket" %}

{% endtab %} {% endtabs %} Once you click the generation button, Timebook will need a minute or two to analyze the data and compose the insight list. You can close the window and continue to work in other areas of Timebook – you'll receive a notification when everything's ready.

Interview details during insight generation

## Browsing insights All generated insights can be browsed from the **Insights** tab of your team. {% hint style="success" %} You can use the 'Manage view' tab to group and filter insights to your liking. For example, grouping by **source** will split them to blocks depending on the type of feedback they were created from (interviews, tickets, surveys, unassigned). {% endhint %}

## Qualifying insights Each insight needs to be manually qualified as valid or invalid before you can further work on it. * accepted (👍) insights can be transformed into opportunities, dedicated objects designed to highlight areas for improvement and innovation * rejected (👎) insights stay on the list in case you'd like to pick them up later on In the example below, you can see one accepted and one rejected insight

Insight details with qualification options

{% hint style="info" %} In the [next tutorial](https://help.timebook.ai/hc/get-started/discovery/opportunities), you'll learn how to map insights onto opportunities and carry on with your Product Discovery journey. {% endhint %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://help.timebook.ai/hc/get-started/discovery/insights.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.