Customer Knowledge Base

Chatting with Emma (How to Use)

Emma responds to free-text questions, can read data from the Product Performance board currently visible on screen, and formats its answers to make analysis fast and actionable. This article explains how to send messages, how context awareness works, what a typical response looks like, and what you can do with each response.

πŸ’‘ Tips for better results
Emma keeps the last 5 responses in its working memory during a conversation. If you want to re-request a report, KPI, or analysis, we recommend starting a new chat β€” this gives Emma a clean context and produces more accurate results.

Sending a Message

The message input field is located at the bottom of the Emma panel. It displays the placeholder text "Ask anything..." and accepts free-text questions, instructions, and Markdown.

To send a message:

  1. Click the input field and type your question or instruction.

  2. Press Enter or click the ↑ Send button (the blue arrow icon, which highlights once text is present).

04_emma_message_input-20260610-115344.png

To the left of the input field is the ⊞ Browse Skills button. Clicking it β€” or typing / in the input field β€” opens a skill shortcut picker.

Context Awareness β€” Using On-Screen Data

Emma has context awareness of the Product Performance board β€” the ASIN table, charts, and filters currently visible on screen. Emma reads this data automatically without any additional setup.

Context awareness is scoped to the Product Performance board. Emma reads whatever is displayed there β€” including Sales, Inventory, Advertising, Content Score, Buy Box, and Ratings data β€” depending on how the user has configured the view.

Example prompt:

Use the displayed product performance table on the screen and give me a recommendation on what to do next.

How a Conversation Works

Diagram showing the three ways to start a conversation with Emma, her response format, and the action buttons available

Response Format

Emma formats its responses for quick reading and analysis. Responses can include:

  • Markdown styling β€” headers, bold and italic text, bullet points, and numbered lists

  • Emojis for visual labelling

  • Tables for structured data such as marketplace performance or advertising metrics

  • Coloured status indicators β€” 🟒 green for positive signals, ⚠️ orange for areas requiring attention

At the end of each response, Emma proactively suggests follow-up actions.

Response Action Buttons

Button

Function

πŸ‘ Thumbs Up

Rate the response positively

πŸ‘Ž Thumbs Down

Rate the response negatively

β“˜ Info

Displays token usage: Input tokens, Output tokens, and Total tokens

πŸ“‹ Copy

Copies the response text to clipboard

Copy Markdown

Copies the response in raw Markdown format

⬇️ Download

Downloads the response content

πŸ“„ Download PDF

Downloads the full response as a formatted PDF document

πŸ“Š Download Excel

Exports individual tables as Excel files. Only available when the response contains structured table data.

Note: AI-generated content can be inaccurate. Always verify critical information before making business decisions.

πŸ’‘ Do you think the content on this page needs improvement? Let us know at support@emax-digital.com