Traceable coding for real research

Qualitative Coding Workbench

Code interview and survey text, keep a codebook and themes, compare two reviewers, and export reports where every quote traces back to its source. You can anonymise exports too.

  • Codebook & themes
  • Reviewer agreement
  • Anonymised exports
  1. Add sourcesPaste text or open .txt files
  2. Code excerptsSelect text, press a number
  3. Compare & reportMatrix, kappa, theme report

Select text, then click a code or press its number.

Ready.Text stays in your browser unless you export it

Traceable by design

Every excerpt stores its source and character positions. When you edit a source, later excerpts move with the text. Any excerpt touching the edit is flagged for you to check.

Limits

Plain text only. Anonymising replaces the names you list plus detected emails, phone numbers and links. It cannot find every identifying detail, so read exports before sharing. Counts and κ describe coding; they are not findings.

Using Qualitative Coding Workbench

Code interview and survey text, keep a codebook and themes, compare two reviewers, and export reports where every quote traces back to its source. You can anonymise exports too.

  1. Choose Try example, or paste text or open .txt files as sources, and add your codes with a theme and definition.
  2. Choose who you are coding as, select text in a source, then click a code or press its number. Add memos to excerpts as you go.
  3. Open Theme matrix to see codes by source, and Reviewers to compare two coders by code, with agreement, Cohen’s kappa and each difference listed.
  4. In Export, list names and pseudonyms, keep Anonymise on if you plan to share, and download the report, excerpts, codebook or matrix.

Example

The fictional library example has two short interviews coded by two reviewers, so you can see transport and staff themes, differences between coders and how names and an email are replaced in exports.

Questions & answers

What happens to coded excerpts if I edit a source?

Excerpts after the edit move with the text. An excerpt that touches the changed text keeps its place in the list and is flagged so you can check it.

How is agreement measured?

By character, per code, across all sources, between the two reviewers you pick. Text neither coded counts as agreement, so read Cohen’s kappa alongside the counts shown.

How reliable is anonymising?

It replaces the names you list and detected emails, phone numbers and links, and renames sources and reviewers. It cannot recognise every identifying detail, so read exports before sharing. It is not a guarantee of de-identification.

Does it analyse the data for me?

No. It stores and organises the coding you enter and does not invent themes or conclusions. Counts show how often a code was used, not how important it is. Your study’s consent and ethics rules still apply.

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