Ask Monty
Answer any questions about your feedback like magic
Delve deep into your feedback with “Ask Monty”, an advanced GPT-4 enabled analysis tool. Pose questions regarding your feedback data, and let Monty analyze, visualize and provide insightful answers.
Key Features
- Ask Monty: Directly ask Monty any query related to the feedback in your workspace.
- Save & Revisit: Save crucial questions for easy future reference. You can find them in your “History”.
- Share Insights: Generate a public link to share the question and its answer with others.
- Set Parameters: Customize the data Monty considers by adjusting parameters in the datasets such as date range, contract value, sources, category, and metadata.
- Citations: Quickly access the feedback used by Monty in generating the response.
- Request Visuals: Ask Monty to plot or visualize your requests to produce shareable visualizations and charts about your query. You can also chat with that visual later in your conversation!
Usage Guide
Ask Monty is Monterey AI’s LLM enabled chat tool designed to extract deep insights from your feedback data.
The conversation is started entering by inputting an initial query. This query will be used to generate the dataset(s) that will supply the entire message chain. The datasets will be constructed via filters extracted from your query, and may include filters on the feedback creation date, category/project labels and metadata values. If you’re query is applicable to multiple filter sets, you will turn recieve multiple datasets in response.
For example, the initial query: “compare the bug reports of the spelling bee game to crossword games over the past 6 months” could return the datasets:
You will have the opportunity to edit, add and remove datasets as needed at this step as well.
Once your datasets are confirmed, the Ask Monty engine determines the type of response most applicable to your query. At the time the support intent routes include:
- Text: a query that is best answered via a text response (summarizations, qualitative comparisons, example finding, etc.).
- Charts: a query that is best answered via a chart visualization.
- Themes: a query that is bested answered via clustering the data into a few key topics.
- Examples: a query that is best answered via listing example feedback.
- User Stories: a query that is best answered via a generated user story.
- PRDs: the a query that is best answered via a generated a draft product requirement document.
- Cohorts: a query that is best answered by created a cohort of customers all discussing the particular user query.
- Snippet Examples: a query that is best answer by creating and returning a list of relevant snippets to the user query.
Monty will then return a response using the most applicable intent to answer the user query.
After the initial response, the user may ask any number of follow ups or explanations to previous responses (including asking follow ups to chat based responses).
Chart Support
Ask Monty supports chart based responses when it is determined a figure would be the best way to answer a user query.
While the system is designed to determine the appropriate response type with any user query input, you can ensure a chart based response with keywords similar to “plot”, “show”, “visualize”, etc..
The values that can supply those charts include:
- Feedback source
- Sentiment
- Feedback dates
- Categories
- Project Labels (if enabled)
- Dataset groups from current conversation
- Metadata*
*_Metadata support is enabled for string-typed feedbcack, customer and account level metadata that is enabled in the metadata configuration settings.
Conversation Navigation
- Example Questions: Get inspired by example questions generated based on recent feedback. These are shown below the chat input on the main Ask Monty page.
- History: View your question history, where you will see the recent conversations you had with Ask Monty.
- Saved Questions: Keep important queries handy by saving them, so you can revisit or re-analyze them whenever you need.