Skip to content
StorycardsInfographics

Solutions for teams

Make rigorous findings easier to see — and trust.

Find credible data, keep citations close and turn complex analysis into a visual explanation for decision-makers and the public.

ASK STORYCARDS

Research how renewable electricity changed since 2010 and keep the official sources

Finding the dataChecking sourcesBuilding an editable draft
READY TO REFINEStructured chart + sourcesOpen in Studio →

Working graphics, real data

Try the finished story here.

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.

Loading interactive graphic…
2022Attainment pyramid

Interactive historical example

More than a third did not go past high school

A documented population estimate becomes a clear, inspectable policy graphic.

SourceU.S. Census Bureau, A.C.S. S1501Use this template
Loading interactive graphic…
2024Diverging sentiment

Interactive historical example

Expectations versus financial reality

Survey categories remain visible while the visual emphasizes the gap a decision-maker needs to understand.

SourceFederal Reserve S.H.E.D., published 2025Use this template

Why Storycards

Evidence in, understanding out

Ask a research question or bring your own analysis. Storycards helps assemble a sourced dataset, preserve its provenance and build a visual story that readers can inspect without oversimplifying the work behind it.

What it helps you do

From task to outcome.

01

Start from a question

Research public sources and preserve publisher-level evidence alongside the dataset.

02

Show the method

Keep units, labels, notes and citations visible and editable throughout the project.

03

Clarify the finding

Use comparisons, timelines, maps and annotations to guide attention to what changed.

04

Publish new releases

Connect recurring sources and update a live visual without rebuilding the page.

One connected workflow

Ask. Build. Refine. Publish.

  1. 1
    Start with a question or data

    Research with AI, upload a table, sync Google Sheets or connect a Live API.

  2. 2
    Shape the complete visual

    Choose the story structure, edit the data and control copy, chart, layout, interaction and motion.

  3. 3
    Apply the system

    Use Brand Kits, team templates and clear project ownership to make the work repeatable.

  4. 4
    Publish and keep it current

    Ship a responsive Smart Embed with live updates, immutable versions and safe rollback.

Practical guide

Research data visualization that shows its work

Translate a rigorous finding into a clear visual explanation without separating it from its methodology and provenance. Readers see the story; authors retain the structured evidence behind it.

01

Preserve provenance

Keep publisher-level citations, definitions, units and notes attached to the dataset used by the visual.

02

Explain the finding honestly

Use comparisons and annotations to guide attention while keeping categories and uncertainty visible.

03

Prepare for the next release

Reuse the visual structure for recurring indicators and publish reviewed snapshots when new data arrives.

Questions

What teams need to know.

Do I need data to start?

No. Start with a research question, upload a table or connect a supported live source.

Is the result still editable?

Yes. Data, text, charts, layout, interaction and motion remain structured and editable.

How do we publish it?

Use a responsive Smart Embed or share link, with version history and safe rollback for published work.

Storycards Infographics

Turn the next question into a visual people can use.

Start free with your data — or simply ask the question.

Create freeNo credit card required.