---
title: How to Use AiRA, Your AI Reporting Assistant
description: Curious how your data can work for you? Use AIRA to quickly transform your data into clear, easy-to-understand insights.
---

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# How to Use AiRA, Your AI Reporting Assistant

## Learn how to use AiRA to explore your organization’s data, ask questions, and generate reports and insights using conversational AI.

Curious how your data can work for you?

**AiRA** makes it easier to explore and understand your organization’s data by letting you ask questions in everyday language.

You can select a data source, ask questions about your data, generate charts and insights, and continue the conversation with follow-up questions to refine your results.

<iframe width="700px" height="400px" src="https://embed.app.guidde.com/playbooks/aFkzVbKeJ4rni8pgG5yWMW?mode=videoOnly" title="Access and Query Data Using AI Reporting Assistant" frameborder="0" referrerpolicy="unsafe-url" allowfullscreen="true" allow="clipboard-write" sandbox="allow-popups allow-popups-to-escape-sandbox allow-scripts allow-forms allow-same-origin allow-presentation" style="position: absolute; top: 0px; left: 0px; width: 100%; height: 100%; border: none;"></iframe>

00:05: In this guide, you'll learn how to use the AI Reporting Assistant in AfterSchool

00:08: HQ to explore your registration and attendance data.

00:13: We'll walk through how to select a data source and ask questions to quickly find the

00:17: information you need.

00:20: Click "AI Reporting Assistant (AIRA)" to open the reporting tool in AfterSchool HQ.

00:26: Click "Select a data source" to choose the dataset

00:29: you want to analyze.

00:27: Select "Registration Data" if you want to analyze student sign-ups and enrollment

00:32: information.

00:34: Select "Attendance Data" to explore check-ins, absences, and attendance trends.

00:40: Click the "Type your message…" field to start entering your question.

00:45: Type a question like, "How many students registered this month?" to generate

00:49: registration insights.

00:52: Press enter and review AIRA's response.

00:55: You can continue asking follow-up questions to refine your results.

01:00: You've now learned how to use the AI Reporting Assistant in AfterSchool HQ.

01:05: Thanks for watching!

 

 

### **1. What is AIRA?**

Meet **AiRA *(AI Reporting Assistant)*,** your built-in tool for understanding data in AfterSchool HQ.

**AiRA** allows you to ask questions in plain language and have a natural conversation about your data. It analyzes the selected data source and returns easy-to-understand reports, summaries, and visualizations—no spreadsheets required.

**For Example:**

- “How many students registered this month?”
- “Which programs had the most absences last week?”
- “Show attendance trends over the last 3 months”

AiRA will analyze your selected data and return clear, easy-to-read insights, no spreadsheets required.

 

### **2. Who Can Access AiRA?**

Currently, AiRA is available to:

- **Owner users**
- **Admin users**

**![Open AI Reporting Assistant](https://storage.app.guidde.com/v0/b/guidde-production.appspot.com/o/quickguiddeScreenshots%2FqYRUAwYcU3bXLuW84uJ30yacbVS2%2FaFkzVbKeJ4rni8pgG5yWMW%2FjfHGME6EwKmBe1vJtvHXBm_doc.png?alt=media&token=659f4dd3-c1bd-4971-8505-15e7ae486003&time=1774382805765)**

 

 

### **3. Ask Questions Naturally**

You can ask AiRA questions just like you would ask a person. There is no limit to the number of questions you can ask.

![Ask a Registration Question](https://storage.app.guidde.com/v0/b/guidde-production.appspot.com/o/quickguiddeScreenshots%2FqYRUAwYcU3bXLuW84uJ30yacbVS2%2FaFkzVbKeJ4rni8pgG5yWMW%2FeGwWL1kb7o9H2NVWoV7pa3_doc.png?alt=media&token=cce87bdf-c1ad-4860-ad8b-868adbbcb489&time=1774382805770)

![Review Results](https://storage.app.guidde.com/v0/b/guidde-production.appspot.com/o/quickguiddeScreenshots%2FqYRUAwYcU3bXLuW84uJ30yacbVS2%2FaFkzVbKeJ4rni8pgG5yWMW%2FjjX4nzkpPtpkkAMaLaUDKS_doc.png?alt=media&token=af752d87-a011-4309-8624-9d5ab05dd875&time=1774382805771)

> 💡 **Tip:** AiRA may take a few moments to process your data and generate responses.

 

### **4. Select a Data Source First**

Before asking a question, you must choose a ***data source***. This tells AiRA where to pull information from.

#### **Available data sources include:**

- **Attendance Data**  
  Student check-ins, absences, and attendance trends
- **Registration Data**  
  Student enrollments, sign-ups, and capacity
- **Survey Data**  
  Responses from forms and surveys
- **Custom CSV Upload**  
  Your own uploaded data (e.g., rosters, program lists, custom metrics)

![Select a Data Source](https://storage.app.guidde.com/v0/b/guidde-production.appspot.com/o/quickguiddeScreenshots%2FqYRUAwYcU3bXLuW84uJ30yacbVS2%2FaFkzVbKeJ4rni8pgG5yWMW%2Frb8BbvPrG22ZuhbkT7hgNk_doc.png?alt=media&token=f7688e46-e62e-485b-863f-d83ef01b05f4&time=1774382805766)

> 💡**Tip:** AiRA will only use the selected data source for that conversation. You can switch sources at any time. Always Select the Right Data Source First.

 

### **5. Using Survey Data**

When using a ***survey*** as your data source:

- AiRA pulls the***latest available data at the time of selection***
- It does ***not automatically refresh*** as new responses come in
- To analyze newly submitted responses, simply ***reselect the survey data source*** to load the latest available data.

 

### **6. Why AiRA Needs Training & How it Learns**

AIRA improves over time as it learns from how you interact with it.

Think of AiRA like a new team member who's great at identifying patterns and answering questions but is still learning your organization's data and reporting preferences.

**AiRA improves over time by:**

- Learning from the types of questions you ask.
- Adapting to your organization's data structure and naming conventions.
- Improving based on your feedback and follow-up questions.
- Becoming more effective as it analyzes real-world data and interactions.

***![](https://storage.app.guidde.com/v0/b/guidde-production.appspot.com/o/quickguiddeScreenshots%2FqYRUAwYcU3bXLuW84uJ30yacbVS2%2FaFkzVbKeJ4rni8pgG5yWMW%2FeGwWL1kb7o9H2NVWoV7pa3_doc.png?alt=media&token=cce87bdf-c1ad-4860-ad8b-868adbbcb489&time=1774382805770)***

> 💡 **Tip:** If a response isn't quite what you expected, let **AiRA** know by rephrasing your request or providing additional context. Every interaction helps improve future responses.

 

### **7. How You Can Improve Results**

- ***Be specific***  
  Clear questions lead to better answers
- ***Try different phrasing***  
  Reword your question if needed
- ***Ask follow-up questions***  
  Example: “Can you show this as a pie chart?”
- ***Give feedback***  
  Let **AIRA** know if something isn’t correct

> **💡Tip:** Use specific dates instead of vague terms like ***“recent.”***

AiRA supports conversational follow-up questions. For example, after generating a report or chart.

#### **You can ask:**

- "Can you show this as a pie chart?"
- "Can you re-run the data?"
- "Break this down by grade level."
- "Add totals to the top of each column."
- "Group the results by school."

> 💡 **Tip:** You don't need to start over each time. AiRA remembers the current conversation and can build upon previous responses.

 

### **8. Troubleshooting**

If AiRA’s response isn’t accurate, try the following:

#### **Check Your Data Source**

Make sure you selected the correct data source.

**If using a CSV:**

- Ensure headers are clear
- Use consistent naming

#### **Be Specific**

- ✅ “How many new students registered in March 2025?”  
  🚫 “How’s registration?”
- ✅ “How many male students enrolled between September 2024 and May 2025?”  
  🚫 “How many this school year?”

**Avoid vague terms like:**

- “recent”
- “a lot”
- “good”

 

### **9. Rephrase Your Question**

If AiRA doesn't return the information you're looking for, try asking the same question differently.

**For example:**

- Use complete words instead of abbreviations (write ***January*** instead of ***Jan***, or ***Wednesday*** instead of ***Wed***).
- Add more detail or context.
- Tell **AiRA** what wasn't correct and ask it to try again.

**Examples:**

- "That isn't what I was looking for. Show registrations by school instead."
- "Can you group these results by grade level?"
- "Re-run the report using attendance data."

> 💡 **Tip:** Small wording changes often produce better results.

 

### **10. Ask Follow-Up Questions**

You can refine AiRA's responses based on what you ask.

**For Example:**

- “Can you show this as a pie chart?”
- “Can you re-run the data with totals?”
- “Can you break this down by grade level?”

 

---

### **New AiRA Updates ⭐**

AiRA continues to improve with new capabilities designed to make it easier to explore your data, ask follow-up questions, and get more useful insights from your reports.

**⏱️ Ask About Time Spent in Programs**

You can now use AiRA to understand ***how much time students spend in programs***, not just whether they were present or absent.

**You can ask questions about:**

- Total time spent in a program
- Average time per visit
- Check-in and check-out times
- Who checked a student in or out

**For example:**

> “How many total hours did students spend in the program last month?”

> “What was the average time each student spent in the program?”

> “Who checked this student in?”

> “What time did this student check out?”

This feature is available for programs that use **Check-In/Check-Out**.

---

#### **Missing Check-Outs**

If some visits do not have a recorded check-out time, AiRA will distinguish between **confirmed** and **estimated** information.

**AiRA will:**

1. Provide the confirmed total based on visits with recorded check-in and check-out times.
2. Tell you how many visits are missing a check-out time.
3. Provide an estimate for the missing time when possible.
4. Clearly label which information is **confirmed** and which is **estimated**.

> 💡 **Tip:** When reviewing time-based attendance results, pay attention to whether AiRA identifies any estimated data. Estimated totals should not be treated as confirmed attendance time.

---

#### **🔄 Query Registration and Attendance Data Together**

AiRA can now analyze **Registration and Attendance data together**.

This allows you to ask questions that compare who is registered with who is actually attending without switching between data sources.

**For example:**

> “How many students are registered for the program, and how many of them attended last week?”
> 
> “Which students are registered but have not attended?”
> 
> “Compare enrollment with attendance for this program.”

> 💡 **Tip:** Be specific about the program, date range, and information you want to compare. Clear questions help AiRA return more useful results.

---

#### **💬 Continue the Conversation**

AiRA can now maintain context throughout a conversation, allowing you to ask follow-up questions without starting over.

**You can:**

- Ask a follow-up question.
- Ask AiRA to refine a previous result.
- Request a different chart or format.
- Ask AiRA to explain how it reached an answer.
- Agree to or modify a suggested next step.

**For example:**

> “Show that as a pie chart.”

**Then:**

> “Now break it down by grade level.”

AiRA carries the context from the previous question into the next response.

AiRA may also explain the **assumptions it made, how it interpreted your question, and which data source it used**. This can help you understand and correct a result if it doesn't match what you expected.

---

#### **🕘 Access Your Chat History**

Your previous AiRA conversations are now saved and will reload when you reopen the assistant.

Instead of starting with a blank conversation, you can return to previous questions and answers.

**You can:**

- Scroll up to load older messages.
- Click a previous chat bubble to return to an earlier question.
- Reload the data table associated with a previous answer.

> 💡 **Tip:** Chat history makes it easier to continue working with a report or analysis without having to ask the same questions again.

---

#### **👤 Real Participant Names When Reloading Answers**

When reopening previous AiRA answers, participant names will now display correctly instead of showing placeholders such as `name_1` or `name_2`.

This applies to questions asked **from this release onward**.

> **🗒️Note:** Answers saved before this update may still display placeholder names when reopened.

---

#### **📊 Better Charts and Visualizations**

AiRA now supports additional chart options to help you visualize your data.

**You can create:**

- Grouped bar charts
- Multi-series bar charts
- Multi-series line charts
- Combination bar and line charts

You can also **copy a chart directly to your clipboard** so you can paste it into a document, email, Slack message, or other location.

> 💡 **Tip:** If you're not sure which chart type would best represent your data, ask AiRA to recommend or create a chart based on the information you're reviewing.

---

#### **⚡ Faster Responses**

AiRA has been rebuilt to provide faster responses.

Answers that previously took approximately **30–60 seconds** can now return in approximately **10–20 seconds**, depending on the request and dataset.

> 💡 **Tip:** AiRA may still take some time to process larger or more complex questions.

---

#### **📖 Create Your Own Glossary**

You can now create a **custom glossary of terms** for your account.

This allows you to teach AiRA the terminology your organization uses.

For example, if your organization refers to students as **“wizards,”** AiRA may not know what that term means automatically. You can add a glossary definition such as:

> **Students = Wizards**

Once saved, you can use **“wizards”** in future questions and AiRA will understand that you're referring to students.

> 💡 **Tip:** Use your glossary to define organization-specific names, terminology, or abbreviations that AiRA may not understand automatically.

---

#### **🔐 Security, Privacy, and Accessibility**

AiRA also includes ongoing improvements to **security, privacy, and accessibility** across the platform's backend and frontend.

These improvements help provide a more secure, reliable, and accessible experience when working with your data.

---

#### **Frequently Asked Questions**

**Q: Is there a limit to how many questions I can ask?**  
**A:** No. You can ask AiRA as many questions as needed while exploring your data.

**Q: Can I ask follow-up questions?**  
**A:** Yes. AiRA supports conversational reporting, so you can continue asking questions about the same data without starting over. For example, you can ask AiRA to change a chart type, regroup the data, or provide additional details based on a previous response.

**Q: Why is AiRA taking time to respond?**  
**A:** AiRA processes and analyzes your selected data before responding. Depending on the dataset and your question, it may take a few moments to generate a response.

**Q: Can I switch data sources?**  
**A:** Yes. You can change the selected data source at any time to ask questions about different information.

**Q: Does AiRA automatically update survey data?**  
**A:** No. Survey data reflects the latest available information at the time it is selected and does not automatically refresh.

**Q: Can I upload my own data?**  
**A:** Yes. You can upload a **CSV file** to AiRA to analyze your own custom data.

**Q: What should I do if AiRA gives me incorrect or unexpected results?**  
**A:** First, confirm that you have the correct data source selected. You can also try ***rephrasing*** your question, adding more specific ***details***, or asking a ***follow-up*** question to help AiRA better understand the information you’re looking for.

 

💡If you experience any issues or have further questions with **“Intro to Your AI Reporting Assistant (AiRA)”**, don't hesitate to get in touch with our support team at [***support@afterschoolhq.com.***](mailto:support@afterschoolhq.com)

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