Publish — and the dashboard is there

In most tools the real work starts after fielding: export, recode, rebuild. In DataLion the dataset, codebook and live dashboard are created automatically on publish — answers become SPSS-style variables with value labels. With no recoding.

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DataLion dashboard with survey results, created automatically when the survey was published

Survey-to-dashboard means: the moment you publish a survey in DataLion, it automatically creates a project, a response dataset, a complete codebook and a live dashboard. Answers become SPSS-style variables with value labels — one column per single-choice question, one 0/1 column per multiple-choice option, one column per matrix row. With no recoding.

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Trusted by research, insights & media teams

  • YouGov
  • SevenOne Media
  • Mediengruppe RTL Deutschland
  • Nielsen Sports
  • mobile.de
  • 50+ interactive chart types
  • 20+ statistical methods (R)
  • 2 weeks release cadence
  • ISO 27001 certified data centers (Germany)

Between the last response and the first chart there are often days

  • You export the raw data and rebuild the entire data structure in Excel or SPSS.
  • Multiple choice has to be split into 0/1 columns by hand, Likert batteries broken out item by item.
  • Variable and value labels are missing or lost — "1" never automatically becomes "Very satisfied".
  • Only after all that does the first chart appear — and reporting starts from scratch again.

Project, dataset, codebook and dashboard — automatically

The moment you click Publish, DataLion builds the complete analysis environment in the background: a project, a response dataset, a complete codebook and a results dashboard as the project start page.

There is nothing to wire up. The first response that arrives lands in a dataset that is already ready for crosstabs, weighting and 50+ chart types.

  • Project with response dataset created on publish
  • Complete codebook with variable and value labels
  • Results dashboard as the project start page
  • No manual configuration, no separate analysis tool
DataLion survey editor with the Publish survey button

Answers become SPSS-style variables — with value labels

DataLion expands every question into the right data structure — exactly the way professional analysis expects it: one categorical column per single-choice question, one 0/1 column per multiple-choice option and one column per matrix/Likert row with the correct scale values.

Variable and value labels are generated automatically. nps_score = 9 becomes a labeled, immediately analyzable variable, not a bare number. There is nothing to recode.

  • One categorical column per single-choice question
  • One 0/1 column per multiple-choice option — no manual splitting
  • One column per matrix/Likert row with scale value labels
  • Variable and value labels generated automatically
DataLion question types that are turned into SPSS-style variables automatically on publish

The dashboard fills with every response

The auto-created results dashboard is not a snapshot: it updates live as responses arrive. You watch fieldwork in real time — and can add your own charts, crosstabs and filters at any point.

From the same project you then export natively editable PowerPoint in your layout, flexible Excel report books or a PDF — with no copy-and-paste.

Live dashboard in DataLion that updates with every new survey response

One structure, every wave

Because the dataset and codebook are created automatically and to a fixed scheme, every new wave of your study is instantly comparable. Editable variable codes like gender or nps_score stay stable across waves.

That is exactly what makes DataLion strong for tracking studies and NPS programs: set up cleanly once, every wave runs into the same dashboards.

From questionnaire to data prep — in one platform

Survey-to-dashboard is the bridge between collection and analysis. On the resulting dataset you weight, clean and cross-tabulate directly and run 20+ statistical procedures on an R engine — with no detour through SPSS or Excel.

More on collection on the Survey software page, more on reporting on the Dashboard software page.

See DataLion with your own data

Start a free trial or book a personal demo — from raw data to a finished dashboard.

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We now work much more efficiently, giving us more time to take care of the derivations and insights from the data for the customers.
Jens Falkenau, Vice President of Market Research · Nielsen Sports
Read the case study →

More survey features

Common questions about survey-to-dashboard

What happens when I publish a survey in DataLion?
DataLion automatically creates a project with a response dataset, a complete codebook and a results dashboard as the project start page. Answers become SPSS-style variables with value labels — with nothing for you to recode.
Do I have to recode survey data before analysis?
No. On publish, you get one categorical column per single-choice question, one 0/1 column per multiple-choice option and one column per matrix/Likert row with the correct scale values. Variable and value labels are generated automatically, so you can analyze straight away.
Does the dashboard update automatically with new responses?
Yes. The auto-created results dashboard is live: it updates as responses arrive. You can add your own charts, crosstabs and filters at any time.
How are multiple-choice and Likert questions represented in the dataset?
Multiple-choice questions expand into 0/1 columns per option, and Likert matrices into one column per row with the correct scale values — each with value labels. This happens automatically on publish, with no manual splitting.
Is survey-to-dashboard suitable for tracking studies?
Yes. Because the dataset and codebook follow a fixed scheme and variable codes like nps_score stay stable across waves, every new wave is instantly comparable — ideal for trackers and NPS programs.

Publish your survey — and watch the dashboard go live

Try DataLion free: build a questionnaire, publish it and watch the results dashboard go live instantly — with no recoding. Or book a personal demo.

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