Part 7/9:
Throughout the process, prompt engineering plays a critical role. The speaker experiments with wording—using adjectives like "thorough" or "list"—to influence the level of detail and format of responses. Clearer instructions lead to more structured, consistent outputs, which are vital for integrating this system into professional workflows.
Practical Applications and Future Potential
The entire methodology demonstrates how a handful of GPT-3 API calls—often just 10 to 15—can yield substantive, multi-faceted insights from massive review datasets at low cost. These insights are invaluable for product teams, marketing, or customer support, providing:
Rapid identification of product strengths and pain points.
Data-driven basis for feature prioritization.