This menu helps you engage with Storytell’s chat responses by digging deeper, tailoring explanations, or taking action.
@
symbol, you can mention existing Collections or Files directly within your prompts. This allows you to pinpoint the scope of your query and receive more relevant results.
@
followed by the name of an existing Collection in your prompt. This will allow you to focus your analysis on specific data sets that you’ve created or that have been shared with you.
For example, let’s say you want to compare customer data with competitor insights. You can type the following in your prompt:
@Customer Data
and @Competitor Target Market
are Collections that either you’ve created or have been shared with you.@
into the prompt input field will bring up a list of your Personal Collections and Shared Collections.@
enhances your ability to target specific data sets and generate more accurate results.Analyzing Customer Data
Market Analysis Across Multiple Data Points
Market Trends
and nested sub-Collections for specific industries. To ask Storytell a targeted question, you might write:Tech Industry
sub-Collection, giving you focused insights.Product Comparison Analysis
Product Features
and Competitor Products
. To ask a question comparing your product to a competitor, you might write:Tracking Portfolio Performance
My Portfolio
and use sub-Collections for each individual company. You might write:Customer Sentiment Analysis
Customer Feedback
. You could write a prompt like:@
symbol followed by the file name, similar to how you mention Collections. The more precise the file name you provide, the easier it will be for Storytell to locate the files you want to mention.
You can mention multiple files in your prompts, enabling you to specify which assets you want Storytell to draw insights from.
@
, a search box will appear showing your existing Collections and assets. If you’re not sure of the exact name, you can start typing and the list will filter in real-time based on your input.