Choose the task carefully
Specify what the model is allowed to summarize, extract, compare, or flag—and what should stay with the researcher.
03 / AI
Model evaluation workflows.
A practical approach to using language models for research support: compare outputs, retain context, and inspect how behavior changes over time.
Photo by Unsplash contributor on Unsplash.
The goal
Make AI assistance inspectable.
In market research, a fluent answer is not enough. A useful system captures the prompt, the source context, the output, and the evaluation criteria so that a person can review what happened.
Compare outputs systematically
Track useful qualities such as consistency, source grounding, and whether a result holds up under a different prompt or model.
Use feedback as evidence
Keep examples of failures and revisions so the workflow becomes more reliable instead of merely more automated.