> ## Documentation Index
> Fetch the complete documentation index at: https://support.lilt.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Explore Analytics with Assist
LILT Assist provides real-time visibility into your global content program. By analyzing complex data through a conversational interface, Assist helps you track quality trends, monitor AI performance, and evaluate budget and delivery metrics to make data-driven decisions about your translation strategy.
### Key Features
* **Quality Trend Tracking:** Monitor how translation quality scores evolve over time across different language pairs and content types.
* **AI Accuracy Monitoring:** Evaluate the performance of your company’s trained models against human-vetted benchmarks to identify where automation is most effective.
* **Delivery Performance:** Analyze turnaround times, project velocity, and deadline compliance to ensure global content stays on schedule.
* **Customizable Visualization:** Request specific data views, such as bar charts or tables, and download findings as CSVs or images for internal presentations.
* **Data Portability:** Quickly generate and download reports in CSV format or export charts for use in internal stakeholder presentations.
### How to Use
1. To get started, use a prompt (e.g., *"What was the AI accuracy for my english-dutch model from last month"*) or click the Analytics card.
2. Tell the agent exactly what data you are looking for. (Note: You can only access data that your user role is permitted to see on the [Analytics page](https://support.lilt.com/kb/lilt-analytics-v2#analytics) in LILT).
* **Metric:** Specify your interest (e.g., *model accuracy, delivery reports, OTD trends, or budget information*).
* **Segment:** Define the focus (e.g., *specific language pairs, connectors, or projects*).
* **Timeframe:** State the period (e.g., *past quarter, last 30 days, or year-to-date*).
* **Format:** Choose the presentation (e.g., *table, bar chart, or CSV*).
3. Review the Agent’s proposed plan and confirm to begin.
4. Assist will generate the visualization directly in the chat. You can ask for further filters or request a download link for the CSV or image file.
### Best Practices for Analytics Prompts
To get the most accurate insights, be **clear and direct**. Since the agent draws from the same data pool as the platform's reports, specific commands work best. Use these four details to build a strong prompt:
* **Action:** What should the agent do? (*Analyze, compare, list, generate*)
* **Object:** What specific data is being looked at? (*WPA metrics, invoices, OTD rates*)
* **Parameters:** What filters apply? (*Language pairs, connectors, or specific linguists*)
* **Context:** Any special requirements? (*Time period, data format*)
### Quick-Start Prompts
**Performance and Quality**
* *Show me on-time delivery by language pair for all projects completed this month.*
* *Can you generate a bar chart with our AI accuracy for english-german for the past six months?*
**Financial and Operational Data**
* *Provide a pricing breakdown by language pair for all invoices processed in March 2026.*
* *Show me the error rates and job statistics for our Contentful connector over the last 30 days.*
### Sample Agent Interactions
```text theme={null}
User: "Can you provide AI accuracy data by language pairs?"
Assist: "To pull this data for you, I need a few details:
- Time Period: What date range would you like to analyze?
- Domain: Are you looking at data from a specific domain, or all domains?
- Model Type: Would you like to see Unadapted AI (baseline) and Adapted AI (fine-tuned)?
- Format Preference: Would you prefer a data table with all language pairs or a visual chart/graph?
Once you provide these details, I can generate the analysis for you."
User: "Please provide data on adapted AI over the last six months for all domains in a table."
Assist: "Perfect! I'll help you analyze Adapted AI accuracy by language pair over the last six months. Let me set up the plan for you."
```
```text theme={null}
User: "Can you give me a pricing breakdown for our projects last month?"
Assist: "I've pulled your financial data for March 2026. I can break this down by language pair, invoice total, or monthly trend. Which view would be most helpful for your review?"
User: "Break it down by language pair and download as a CSV."
Assist: "Understood. I have generated a pricing breakdown by language pair for March 2026. You can download the CSV file here: [File Download Link]."
```