Follow-up Questions

“Reply” Feature

The “Reply” functionality allows users to refine, clarify, or expand a previous question in context, without restarting the interaction flow.

Use Cases:

• Add new filters: “Only for California”

• Ask a follow-up: “Break that down by sales region”

• Refine a metric: “Use net revenue instead of gross”

How it Works:

• The reply inherits the context (intent, structure, results) of the original question.

• The system adjusts the previous query graph rather than reprocessing from scratch.

• The full conversation history is stored in the History panel for traceability.

This allows iterative exploration without losing track of prior insights.

Example from TPCH dataset

Topic	Original Metric	Follow-up Metric
Supplier analytics	Average fulfillment time for suppliers in Asia region by part type	Average fulfillment time by supplier and customer nation for these part types
Supplier analytics	Total revenue contribution by suppliers who shipped parts with discount over 5%	Gross margin per part category from these discounted shipments
Supplier analytics	Number of late shipments by suppliers grouped by nation and year	Late shipment rate by supplier region and part size category
Supplier analytics	Average discount offered by suppliers who supply parts used in high-value orders (above $10,000)	Total number of parts supplied by these suppliers segmented by part brand
Supplier analytics	Profit margin from parts supplied by top 10 suppliers in Europe	Profit margin split by customer segment for these parts
Customer analytics	Average order value for customers in the 'Automotive' segment who ordered parts from European suppliers	Average order value split by part category within this customer group
Customer analytics	Total number of orders per customer who only placed orders in the last 3 years	Total profit per supplier from these recent customers' orders
Customer analytics	Average shipping delay experienced by customers in Asia region on orders containing parts from Germany	Average order value for these delayed shipments segmented by part type
Customer analytics	Revenue growth per customer segment for orders that include discounted parts	Number of unique suppliers serving each customer segment in these orders
Customer analytics	Customer lifetime value estimated from total profit by customer across all orders	Lifetime discount received per customer grouped by region
Order analytics	Profit per order for orders shipped in 1995 involving suppliers from Japan and customers from Europe	Average line item count per part category in these orders
Order analytics	Average number of line items per order for orders exceeding $20,000 in total value	Total discount amount by supplier nation for these high-value orders
Order analytics	Cancellation rate per order when parts came from at least 3 different suppliers	Average part cost in these multi-supplier orders grouped by region
Order analytics	Average part cost in orders containing at least 5 distinct parts and shipped in less than 10 days	Supplier count per order for these fast, complex orders
Order analytics	Gross margin by order for orders with line items sourced from multiple regions	Gross margin segmented by part brand within these orders
First/last order analytics	Time between first and last order per customer who has been active for over 5 years	Total number of suppliers engaged by each such customer
First/last order analytics	Profit contribution from first orders per customer segment	Average line item discount in these first orders by supplier region
First/last order analytics	Discount rate on last orders for customers with decreasing order frequency	Total part cost in last orders grouped by part category
First/last order analytics	Average order value difference between first and last orders per supplier	Difference in gross margin between first and last orders segmented by customer segment
First/last order analytics	Average delivery time for first orders from new suppliers in each region	Average part discount in these first orders grouped by part type