Scope the reasoning task
Select the notes relevant to the study and describe the kind of thematic interpretation the research team wants to investigate.
Scientist / Data & AI
Bring model-assisted reasoning into the investigation.
Scientist brings generative AI and agents into research workflows. Researchers can use model-assisted reasoning on analytical material, placing that work within a visible process where collaborators can examine its inputs and assess the interpretations it produces.
Generative AI & agentsScientist
Propose a thematic coding scheme for cancellation notes and prepare examples for researcher review.
In the workspace
Research input
Cancellation notes selected for qualitative analysis
Model-assisted step
Suggest themes and associate supporting excerpts
Researcher review
Inspect ambiguous notes and revise theme definitions
Treat suggested themes as research material to examine.
How it works in Scientist
The team gets a starting point for qualitative coding, with source excerpts available to help researchers assess whether each proposed theme fits the underlying material.
Connect the model-assisted step
Bring the reasoning task into the workflow so its source material and proposed interpretation remain part of the analytical process.
Review before using the interpretation
Inspect supporting excerpts and ambiguous cases, then refine the coding scheme before treating the proposed themes as research findings.
Bring Scientist to your team.
Explore generative ai & agents around your company’s workflows.