AI Data Studio
📊 What Is AI Data Studio?
AI Data Studio is a reporting dashboard inside Applauz that lets you explore your organization's engagement data — recognition activity, points, badge trends, team activity, and more. It's designed for managers and admins who want data-driven insights without needing to export spreadsheets.
There are two ways to use it:
- Pre-Built Reports — a library of ready-made reports you can run instantly with adjustable filters.
- AI Chat Assistant — ask questions in plain language and get visual charts back. (SOON TO BE PAID FEATURE)
🔑How to Access It
- Log in to the Applauz Hub
- In the left sidebar, expand Reports
- Click AI Data Studio
📋Pre-Built Reports FREE
Pre-built reports give you instant access to common views of your organization's data. Click a report card from the main page to open it.
Available Reports
| Report | What It Shows |
|---|---|
| Activity Breakdown | Monthly breakdown of platform activity by type: recognitions, reactions, comments, and posts |
| Activity Share by Department | Proportion of total platform activity contributed by each department |
| Department Engagement Scorecard | Per-department engagement score weighted by recognitions, comments, reactions, and unique participants |
| Monthly Active Recognizers | Unique recognition givers and receivers per month over the last year — tracks adoption |
| Most Popular Badges | Badges awarded most often and how many different employees have given them |
| Points Awarded Over Time | Total points given per day over time |
| Recognition Between Departments | Cross-department recognition patterns — which departments recognize each other |
| Recognition Trend | Daily recognition count over time, with unique givers and receivers |
| Top Recipients | Leaderboard of employees who received the most recognitions in the specified period |
| Top Recognizers | Leaderboard of employees who gave the most recognitions in the specified period |
Running a Report
- Click a report card from the AI Data Studio main page
- Adjust the filters as needed (see below)
- Results load automatically as a chart or table
Adjusting Filters
Each report shows its active filters at the top of the results panel. Click Edit to modify them.
| Filter | What It Does |
|---|---|
| Start / End Date | Filter results to a specific time range |
| Limit | Cap the number of results (e.g. "Top 10") |
| User | Narrow results to specific users |
| Group | Narrow results to a specific group |
| Department | Narrow results to a specific department |
Viewing Results
Most reports support three view modes. Toggle between them using the tabs at the top of the results panel:
- 📊Bar — great for comparing categories side by side
- 🥧Pie — shows proportions of a whole at a glance
- 📄Table — full detail view with sortable columns
Exporting Data
Every report includes an Export CSV button in the top-right corner. This downloads the raw data as a spreadsheet you can open in Excel or Google Sheets.
💬AI Chat Assistant PAID FEATURE
The AI Chat Assistant lets you ask questions in plain English. The assistant understands your question, generates a query against your data, and returns a visual chart — no SQL required.
To access it, go to Reports › AI Data Studio and type your question in the chat box at the top of the page.
What You Can Ask
Here are some examples, organized by topic:
How many recognitions were given last month?Who received the most recognitions this quarter?Recognition trends by week in Q1 2024
Tips for Better Results
- ✓Be specific about time — "last month", "Q1 2024", "last 30 days"
- ✓Name the metric — "count", "total points", "average"
- ✓Mention grouping — "by team", "by department", "per week"
- ✓Use "my team" to automatically filter to your direct reports
- ✗Avoid vague questions like "show me the data" or "activity report"
The assistant automatically picks the most appropriate visualization for your question:
| Chart Type | Best For |
|---|---|
| Bar | Comparing categories (top users, by team, by department) |
| Line | Trends over time (weekly, monthly patterns) |
| Pie | Proportions of a whole (badge distribution) |
| Table | Detailed data with multiple columns |