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Find the common ground in what people write.

Hundreds or thousands of open answers, comments or interview turns. common ground helps you clean them, build a codebook and code them: with an AI that suggests, and researchers who decide.

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New here? Create an account with your work email address. Partners from other organizations join a project through an invitation from its owner.

Made for

Open-ended survey questions Comments and feedback Interview and workshop transcripts

From raw answers to findings, in four steps

The same path for every kind of text. You can stop, come back and change your mind at every step. Nothing is overwritten behind your back.

  1. 1 · Import

    Bring your data

    Drop a table exported from your survey tool or Excel and pick the columns that hold the answers. Columns with names or e-mail addresses can stay on your computer.

  2. 2 · Clean

    Set the noise aside

    Empty answers and non-answers like “keine Angabe” are flagged for you. Every decision stays visible and can be undone with one click.

  3. 3 · Code

    Build your codebook

    Write codes yourself, bring an existing codebook, or let the AI propose codes from your answers. Then code the answers by hand, or with AI help that you review.

  4. 4 · Analyze

    See the patterns

    How often does each theme come up, overall and by group? Take the results to ATLAS.ti or MAXQDA, or as tables.

AI that shows its work

The AI takes on the tedious part: reading thousands of answers, proposing codes, applying a codebook. It never gets the last word, and it never hides what it did.

  • Grounded in the text Every AI suggestion quotes the words it is based on. No quote, no suggestion.
  • You decide Suggestions stay suggestions until a person accepts them.
  • Honest numbers Codes the AI applied on its own are marked as automatic, in every count and every export.
  • Stays inside AIT The AI runs on ChatTE, AIT’s internal language-model service.

A look inside

Three screens do most of the work.

Clean Every answer gets one decision: keep it or set it aside.
Code Your codebook beside the answers; mark a passage, give it a code.
Analyze Which themes come up, how often, and for whom.

Good to know

Who can use it?
Colleagues at AIT, and the partners they invite to a project. It runs internally, and a project is visible only to its members.
What can I bring?
CSV or Excel files (.xlsx), up to 50 MB: survey exports, comment lists, interview or workshop transcripts with a speaker column.
Where does my data go?
Nowhere outside AIT. Columns you choose not to import never leave your computer; the rest is stored on AIT systems, and the AI runs on AIT’s own ChatTE.
Can I take my work elsewhere?
Yes. Export a coded text field for ATLAS.ti, MAXQDA and other tools that read the REFI-QDA standard (.qdpx), the codebook on its own (.qdc), and the tables as CSV.

Ideas, thoughts, bugs?

If something is missing, confusing or broken, or you want to try it on your own data, write to Michael Oppermann, tool owner and contact person: michael.oppermann@ait.ac.at