Complex Use Cases (High Complexity)
Description
Advanced analytical or exploratory queries that involve deeper reasoning or more nuanced interpretation.
|
Persona |
Intent |
Sample Prompt |
|
CSM |
Awareness of at-risk accounts to take proactive action. |
Identify churn risk patterns based on usage decline and entitlement changes over the past six months. |
|
Product Manager |
Analysis of a feature adoption to determine strategy. |
Evaluate adoption of feature “X” across accounts over the past six months. Analyze which accounts demonstrate strong engagement and the average monthly usage per account and how is it trending over time. |
|
Renewals |
Identify cross-sell and up-sell opportunities. |
From entitlements expiring in the next quarter, identify accounts where licenses have been utilized by over 95% of their entitlement. Provide related product and feature details as well. |
|
Finance |
Understand revenue trends using cross-system and cross-domain queries. |
Analyze revenue decline in Europe during the last quarter using available data sources and provide a root cause. |
Examples
| • | Identify churn risk patterns based on usage decline and entitlement changes. |
| • | Analyze revenue decline in Europe last quarter. |
| • | Find customers similar to ACME based on usage and renewal behavior. |
| • | Perform cross-system queries across usage, billing, and CRM data. |
Characteristics
| • | Multi-step reasoning. |
| • | Derived metrics and nested logic. |
| • | High ambiguity or business context interpretation. |
Recommended Models
High-accuracy models, such as GPT 5.x, Claude Sonnet 4.6, and Claude Opus 4.7.
Why
| • | Superior natural language understanding. |
| • | Better handling of ambiguity and reasoning. |
| • | Higher query correctness and reliability. |