> For the complete documentation index, see [llms.txt](https://support.doowii.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.doowii.io/getting-started/quickstart/refining-and-filtering-answers.md).

# Refining and Filtering Answers

After asking a question in Doowii, a typical response will include:

* **Summary**: A brief and specific response overview addressing your question and the resulting data query.
* **Methodology**: Details on how the data was processed, any filters applied, and any assumptions made.
* **Data Visualization**: The data table or chart displaying the data results.

You can refine and filter your results by asking followup questions, or using one of the generated follow-up questions.

#### Drilling Deeper with Follow-Up Questions: <a href="#drilling-deeper-with-follow-up-questions-3" id="drilling-deeper-with-follow-up-questions-3"></a>

* Review the summary, the data, and the reported methodology.&#x20;
* Ask Clarifying Questions: If you need more details, ask specific follow-up questions.
  * Explore Different Pivot Groups: “Break down the results by enrollment year?”
  * Explore Additional Data Points: “Include the average number of .
  * Drill-Down to Specific Years: “How does this compare to last year’s performance?”
* Understand Available Data: Knowing what data is accessible helps in applying appropriate filters.
* Iterate Your Queries: Don’t hesitate to refine your question if the initial results aren’t as expected.
* Use Comparative Terms: Words like “trend,” “increase,” or “decrease” can provide more dynamic insights.

<figure><img src="/files/Esbltf3QdozxpptcDp3K" alt="Doowii Suggestion Question Follow-Ups"><figcaption></figcaption></figure>

Using Suggested Next Questions:

* Select a generated Follow-Up Question: Click on the “Suggested Follow-ups” and select any follow-up question to delve deeper into the data.
* Doowii generates suggested questions based on your previous question and topic.&#x20;


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://support.doowii.io/getting-started/quickstart/refining-and-filtering-answers.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.