Data summary
textareaRequired input
Noderan MarketplaceData & Intelligence
Demo ReadyLive E2E verifiedLLM-backed~25s
Data Narrative Generator
Returns an executive-ready narrative with caveats and next actions.
Turn metric summaries into a concise business narrative.
Before you run
Workflow summary
Turn metric summaries into a concise business narrative.
What is Data Narrative Generator?
Data Narrative Generator is a ready-to-run Noderan marketplace workflow for data & intelligence teams. It helps users move from a manual process to a repeatable automation with visible credit cost and app-based execution.
- Who is it for?
- Leadership and analytics teams
- What problem does it solve?
- Turn metric summaries into a concise business narrative.
- How does it work?
- Turn metric summaries into a concise business narrative.
- How does pricing work?
- 2 credits per run.
- What is the next action?
- Open the app marketplace to activate this workflow, or review credit pricing.
Data Narrative Generator FAQ
Short answers for activation, pricing, inputs, and execution review.
Returns an executive-ready narrative with caveats and next actions.
Expected inputs
Audience
textRequired input
Business question
textRequired input
Demo input
{
"dataSummary": "Trial signups rose from 120 to 164, activation improved from 32% to 41%, paid conversion stayed flat at 7%.",
"audience": "leadership",
"businessQuestion": "What changed in the funnel this week?"
}Output highlights
- headline
- key insights
- recommended actions
Example result
{
"headline": "Activation improved while paid conversion held steady.",
"narrative": "The funnel gained more qualified trial activity, but monetization has not moved yet.",
"keyInsights": [
"Trial signups grew",
"Activation rate improved"
],
"caveats": [
"Paid conversion may lag activation"
],
"recommendedActions": [
"Review checkout friction"
]
}Use cases
- Explain KPI movement without manual analyst writeups.
Integrations
Noderan LLM Gateway
Step 1
Review the workflow and expected credit cost.
Step 2
Connect the tools or inputs required for execution.
Step 3
Run the workflow and inspect outputs in the app history.