Talk To Your Data Application
Talk To Your Data (TTYD) lets authorized Cleverbridge users analyze client performance data on supported AI platforms using natural language.
TTYD is a Cleverbridge analytics assistant for self-serve, insight-oriented data analysis. It gives authorized users natural-language access to Cleverbridge analytics data that they are already permitted to access through Cleverbridge reporting and analytics tools.
The application is designed for exploratory, multi-step, or insight-oriented analytics rather than simple one-off reporting. It can help users move from "what happened?" to "why did it happen?" and "what should we do next?" by combining relevant metrics, calculating derived fields, comparing periods, identifying unusual changes, and producing structured outputs such as tables, chart-ready datasets, bridge reports, subscription health reports, and action recommendations.
Users must access TTYD through an approved Cleverbridge AI workspace, connector, or integration and complete the applicable Cleverbridge authorization flow before using it.
Application usage
Target users
Primary users include:
- Customer Success and CSM teams
- Account management teams
- Revenue, subscription, and ecommerce analytics users
- Finance, ecommerce, marketing, sales, IT/engineering, and client-success stakeholders who need client-level performance analysis
When the application is used
AI platform will use the applicatoin if the users requests to analyze Cleverbridge client, revenue, subscription, product, country, payment, or performance data that is available to them through Cleverbridge analytics systems. Typical triggers include requests such as:
- Analyze revenue, MRR, ARR, churn, renewals, new business, subscriptions, active subscribers, ARPU, product performance, country performance, or payment performance for a specific Client ID.
- Create a revenue, subscription, payment, or financial report for a client over a specified period.
- Compare current-year results to last year, month-over-month performance, or other period-over-period changes.
- Identify trends, anomalies, spikes, drops, drivers, or likely causes in Cleverbridge performance metrics.
- Produce tables, chart-ready datasets, bridge reports, subscription health reports, or concise business summaries from Cleverbridge analytics data.
- Recommend concrete actions based on client performance data.
AI platform should not use the application if at least one of the following conditions are true:
- The user is asking a general analytics, finance, ecommerce, or subscription-business question that does not require Cleverbridge client data.
- The user does not provide enough information to identify the relevant client, period, metric, or dimension, unless the app can ask a clarifying question first.
- The requested data is outside the authenticated user's Cleverbridge permissions.
- The user asks for personal data, confidential client data, or restricted information they are not authorized to access.
- The request is better served by a quick standard report in existing Cleverbridge reporting tools and does not require deeper analysis, reconciliation, narrative explanation, or custom aggregation.
- The user asks the app to modify production data, trigger client-facing communication, or perform operational actions beyond analytics.
Primary use cases and expected outcomes
As a result of a request, the application can return:
- Concise natural-language answers
- Tables with one row per period or dimension
- Period-over-period and year-over-year comparisons
- Currency-aware outputs
- Chart-ready datasets
- Driver analysis
- Anomaly detection summaries
- Reconciliation checks where applicable
- Recommended actions based on findings
- Follow-up questions when the user request is underspecified
These are some of the primary use cases for the application.
Standard metric retrieval and comparison
Users can request reports that reproduce or summarize values otherwise available in existing analytics tools.
Possible prompt Create a Net Revenue monthly view for 2025 for Client nnn. Compare it with 2024 and output a table with one row per month, including Month, Net Revenue 2025, Net Revenue 2024, and YoY % change. Also create chart-ready data for a line chart with current year as a solid line and last year as a dashed line.
Expected results:
- Monthly net revenue table
- Year-over-year comparison
- Chart-ready data
- Short explanation of notable changes