Turn unstructured responses into structured intelligence, at scale.
Open-ended responses often contain the most valuable insights in any research project. The challenge isn't collecting them — it's organizing them into a clear, consistent coding structure that supports meaningful analysis. Tagger makes that simple.
Designed around the natural workflow of researchers.
Tagger combines artificial intelligence with researcher oversight, transforming large volumes of open-ended responses into structured coding outputs — while you remain in control of every important decision.
- Select & analyzeChoose the open-ended questions that require coding. Tagger analyzes all responses, identifies recurring themes, and generates an initial AI-assisted coding framework based on what respondents actually said.
- Edit everythingRename codes, merge or separate categories, create new ones, remove noise, or reorganize the entire structure — directly in the platform, or download the guide, revise it externally, and upload it back. No forced workflow, no locked file format.
- Apply & deliverOnce finalized, Tagger applies the approved framework across all responses and delivers the completed coding output in your preferred format — spreadsheets, customized reporting templates, or any structured format your workflow needs.
Collaborative by design. AI-assisted automation plus researcher expertise — a workflow that is both efficient and fully adaptable to the needs of each project, without compromising flexibility or methodological quality.
More time interpreting findings. Less time on repetitive coding.
Scale without friction
Process large volumes of open-ended responses efficiently — for projects of any size.
Consistency across projects
Create consistent coding structures and reduce time spent on repetitive activities.
Faster reporting
Accelerate analysis workflows and adapt outputs to different reporting requirements.
If your project includes open-ended questions, Tagger adapts to you.
Market research, academic studies, public opinion research, healthcare surveys, employee feedback, policy evaluations, media research — a flexible coding workflow for every discipline.
- Market research agencies
- Consumer insights teams
- Brand & innovation teams
- CX professionals
- Universities & research institutes
- Thesis & dissertation projects
- Government & public policy institutions
- Political & election research teams
- Healthcare & pharma organizations
- HR & corporate research departments
- Consulting firms & non-profits
- Independent researchers
High-volume qualitative analysis, at a low-cost subscription.
Tagger's pricing is kept intentionally accessible to support continuous use — especially for large-scale text coding and analysis workflows.