f(Ask Data)DEFINED SKILL
Answer a product data question in natural language.
- EVAL
- Source lineage, freshness, confidence, and data quality are visible.
- CONNECTORS
- GA4, Stripe, CSV, Google Sheets
- OUTPUT
- Evidence-linked answer or saved query
f(data) / SYSTEM ITEM
Data Intelligence
Ask product data questions in natural language, monitor KPI movement, and turn anomalies into a next-best action grounded in evidence.
WHAT IT TAKES IN
Context becomes useful when the inputs are named.
WHAT IT GIVES BACK
Outputs you can pick up and act on.
DEFINED SKILLS INSIDE F(DATA)
From a module name to work you can run.
Each function is a defined skill with its own purpose, evaluation boundary, connector context, and output artifact. That is what makes a module useful in practice.
f(Weekly Pulse)DEFINED SKILL
Generate a sourced weekly view of KPI movement and product signal.
- EVAL
- Baseline comparison, anomaly coverage, and recommendation usefulness.
- CONNECTORS
- GA4, Stripe, product analytics
- OUTPUT
- Weekly AI pulse report
f(Anomaly Investigation)DEFINED SKILL
Diagnose a spike or drop and propose the next-best action.
- EVAL
- Root-cause evidence, confidence score, and unresolved alternatives.
- CONNECTORS
- Analytics, revenue, retention sources
- OUTPUT
- Anomaly investigation brief
PRODUCTF PROMISE
Automation should make judgment easier to see.
Evidence before confidenceA recommendation always shows its sourceThe team owns the decision