Use case
Turn rates, jobs, prices, markets and public finance into sourced visual stories that can move from a historical explainer to a live recurring update.
Explain the last five years of interest-rate decisions and mark the turning points using Federal Reserve data
Working graphics, real data
Every example below is rendered from a shipped Storycards Visual Spec and a cited historical dataset. Hover, tap and use its controls here, then open the same structured template to adapt it.
Interactive historical example
Debt, the statutory limit and control of the White House and Congress share one honest historical frame.
Interactive historical example
A recurring labor release becomes a clean comparison that can update without losing the city context.
Interactive historical example
A distribution—not just an average—shows how households describe their financial position.
Why Storycards
Economic audiences need the latest value, the path that produced it and enough context to understand what changed. Storycards helps economics desks and financial publishers combine official releases, historical series, annotations and responsive publishing in one structured project.
What it helps you do
Put the latest jobs, inflation, rates or growth figure inside a meaningful historical range.
Keep units, baselines and source notes explicit across countries, sectors and time periods.
Connect recurring releases through a controlled source and refresh the published visual without rebuilding the article.
Reuse approved economic story structures, typography and annotation patterns across the newsroom.
One connected workflow
Research with AI, upload a table, sync Google Sheets or connect a Live API.
Choose the story structure, edit the data and control copy, chart, layout, interaction and motion.
Use Brand Kits, team templates and clear project ownership to make the work repeatable.
Ship a responsive Smart Embed with live updates, immutable versions and safe rollback.
Practical guide
Build financial-news charts and recurring economic trackers that show the latest release, the path to it and the correct source context. Working examples make the visual contract testable before the next release.
Place the latest value inside a meaningful historical range and annotate the turning points.
Make units, baselines, revisions and different scales explicit across places, sectors and indicators.
Refresh a validated data snapshot while keeping the embed URL and the published editorial record stable.
What else you can create
Questions
Yes. Build the structure against a historical fixture, validate the connection and change to the release source when the data is ready.
Yes. Use a clear multi-scale structure, explicit labels and annotations so the comparison remains honest.
Yes. Published work supports versioned snapshots and rollback rather than silently replacing the historical record.
Storycards Infographics
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