Users frequently send ambiguous requests like "book a venue for the party" without specifying date, guest…

Question

Users frequently send ambiguous requests like "book a venue for the party" without specifying date, guest count, or budget. Your evaluation shows the assistant asks an average of 4 questions before taking any action, causing 35% of users to abandon mid-conversation. However, when you reduce questions, users sometimes receive recommendations that don't match their preferences. What's the most effective approach to improve this trade-off?

Accepted Answer

C. Instruct the assistant to state explicit assumptions based on conversation context, proceed with recommendations while inviting corrections, and reserve clarifying questions only for irreversible actions like confirming bookings.

Answer

A. Implement a structured intake form that collects all required parameters (date, guest count, budget, venue type) upfront before the assistant begins providing any recommendation

Answer

B. Configure the assistant to proceed with reasonable defaults (medium sized venue, next weekend, moderate budget) without explicitly stating these assumptions, allowing users to make corrections if results don't match expectations

Answer

D. Configure the assistant to consolidate all clarifying questions into a single compound question (e.g., "What date, guest count, and budget are you considering?") to reduce the total number of turns

Question 224