# Discover

> AI-generated questions, insights, and chart suggestions for the dataset you just loaded.

Discover · 10 min read · Updated 2026-11-05

> **Note:** **Summary:** Discover is the first page you see after connecting data: the questions worth asking, the patterns Golden already found, ready-made charts, and a quality check, all before you build anything.

Discover reads your dataset and hands you a starting point. It's for anyone who just connected data and wants to know what's in it, and what's worth a closer look, in the first minute.

![The Discover page for an E-Commerce Sales dataset: a summary line of 10,194 rows, 11 dimensions, 4 geographic, 4 measures and 2 date fields, tags for Time-series, Geographic, Comparison and E-commerce, an Ask box, two Key questions cards, the first Quick insights, and the Data details panel on the right showing Quality as Reliable and a Profile of 21 fields](https://app.goldenanalytics.com/api/help/public-image?object=c354309b-381e-42db-aa74-c2030f048e2f%2F1793916658732-01-hero.png)

### When to use it

- **A new export lands on your desk.** A sales ops analyst uploads 10,000 order rows. Discover tells them Discount is the top driver of Profit / Sales before they've opened a chart.
- **Someone asks "anything interesting in here?"** A team lead skims **Quick insights**, finds that Texas Binders lose 162.6% on Profit / Sales, and clicks **Create dashboard** on that card.
- **You need a first dashboard fast.** A marketing manager ticks five **Suggested visualizations** and clicks **Create Dashboard**.
- **You don't trust the file yet.** The **Quality** check says whether insights from this data are reliable, and the **Profile** shows every field's unique values and range.

If you're staring at a fresh dataset and wondering where to start, start here.

### Getting started

1. Connect or upload data (or pick a sample from Home).
2. Open the analysis and click **Discover** in the left rail.
3. Read the summary, then scroll: **Key questions**, **Quick insights**, **Suggested visualizations**.

The left rail also links straight to **Key Questions**, **Insights** and **Suggested Visualizations**, each as a full page.

### The header

The top of the page names the dataset and counts its rows, dimensions, geographic fields, measures and date fields. Tags like **Time-series**, **Geographic** and **E-commerce** say what kind of data Golden thinks it is, with a one-line description underneath.

- **Chat with your data** opens the chat panel.
- **Refresh** reruns the analysis, for example after you change the data in Prepare.
- The **Ask** box takes a question, or a description of the dashboard you want.

### Key questions

Key questions are the questions your data can answer well. Each card tells you what kind it is:

| Card | What it does |
| --- | --- |
| **Recommended dashboard** | A ready analysis Golden can build for this data, like "What sells together?" for order data. |
| **Custom time analysis** | Finds the periods where a measure swung most and breaks each swing down. Pick the measure and the time grain. |
| **Custom geography analysis** | Shows where a measure is concentrated and how that shifts. Pick the measure, geography level and time grain. |
| **_N_ insights combined** | A question built from several insights, with the supporting numbers listed under it. |

Click **Explore** or **Explore the answer** to open the answer. Use the arrows to page through, or **See all key questions** for the full grid.

![The Key questions page with 7 cards: a Recommended dashboard card for What sells together?, a Custom time analysis card with Profit as the measure and quarter as the time grain, a Custom geography analysis card with Profit, Postcode and year, and three insights-combined cards such as Why does Furniture struggle to generate meaningful profit?](https://app.goldenanalytics.com/api/help/public-image?object=c354309b-381e-42db-aa74-c2030f048e2f%2F1793916671942-02-key-questions.png)

### Quick insights

Quick insights are patterns Golden found on its own: the top driver of a measure, a seasonal swing, a combination that's worse together than apart, a level that runs at a loss. Each card says what it found in plain numbers and shows a small chart or table to back it up.

Click **Create dashboard** on a card to turn that insight into a dashboard. **See all insights** opens the full list.

![Four Quick insights cards: Discount is the top driver of Profit / Sales with influence bars, Volume peaks in Nov and Dec with a monthly bar chart, State/Province Texas + Sub Category Binders compounds into the worst Profit / Sales with a table, and Discount 80% runs Profit/Sales at a loss with red bars](https://app.goldenanalytics.com/api/help/public-image?object=c354309b-381e-42db-aa74-c2030f048e2f%2F1793916677496-03-quick-insights.png)

### Suggested visualizations

Golden suggests a handful of charts for your data, each with the question it answers and the fields it puts on each axis.

![Suggested visualizations: Monthly Sales Trend, Top Sub-Categories by Sales, Profit by Region, Profit vs Sales by Category and Top States by Sales, each with a preview, its question and its fields](https://app.goldenanalytics.com/api/help/public-image?object=c354309b-381e-42db-aa74-c2030f048e2f%2F1793916682600-04-suggested-visualizations.png)

Tick the checkbox on the charts you want, or click **Select all**. A bar appears at the bottom:

- **Add to Analyze** adds each one as a sheet you can keep editing.
- **Create Dashboard** puts them all on a new dashboard.

![All five suggestions selected, with the bar at the bottom reading 5 visualizations selected, Add to Analyze and Create Dashboard](https://app.goldenanalytics.com/api/help/public-image?object=c354309b-381e-42db-aa74-c2030f048e2f%2F1793916689093-05-create-from-selection.png)

### Data details

The **Data details** panel on the right is your sanity check.

- **Quality** gives a verdict. **Reliable** means no issues were found and insights from this data are reliable.
- **Profile** counts rows, dimensions, measures, dates and geographic fields, then lists every field with its unique count.

Click a field to expand it. You'll see its **Field Type**, number format, a short description, **Total**, **Unique**, **Range** and sample values. Click the chart icon on a field to analyze it in a new sheet. Collapse the panel with the icon at its top right.

![The Data details panel: Quality marked Reliable, the Profile tiles, and the Discount field expanded to show Field Type Measure, Number Format Standard with 2 decimals, a description, Total 10,194, Unique 12, Range 0.00 to 0.80 and sample values](https://app.goldenanalytics.com/api/help/public-image?object=c354309b-381e-42db-aa74-c2030f048e2f%2F1793916695733-06-data-details.png)

### Do it from chat

The **Ask** box at the top of Discover goes to the same analyst as chat. Ask a question, or describe the dashboard you want:

```
Which regions lose money on discounted orders?
```

```
Build a dashboard of monthly sales and profit by category
```

### FAQ

**Does Discover change my data?** No. It only reads it. Changes happen in Prepare.

**Why did my key questions change?** Golden keeps looking while you're on the page ("Looking for more…"), and **Refresh** reruns the analysis. Questions and suggestions can differ between runs.

**Can I edit a suggested chart before using it?** Add it with **Add to Analyze**, then change anything on the sheet.

**What if Quality isn't Reliable?** The panel lists what it found. Fix those fields in Prepare, then click **Refresh**.

Source: https://goldenanalytics.com/docs/imported-mw43nkrp