We have a team member who is an initiating Fact Finder trying to write AI prompts for our customer service drafts, but the outputs are overly verbose. How do we pair them with a Quick Start to optimize our AI prompt library?

Question

Tyler Smith · Accepted Answer

An initiating Fact Finder instinctively gathers exhaustive data and research before taking action. When they write AI prompts, they often create overly complex, highly detailed instructions that cause the AI to generate long, academic, and dry customer service responses.

To resolve this operational bottleneck, leverage the conative strengths of your team. You need to pair your high Fact Finder with a team member who has an initiating Quick Start instinct. A Quick Start naturally experiments, takes risks, and seeks to simplify and iterate rapidly.

This pairing creates a powerful operational synergy:
- The Fact Finder is responsible for defining the exact parameters, compliance rules, and source data that the AI must reference. They ensure the information is accurate and complete.
- The Quick Start is responsible for drafting the core prompt and rapidly iterating on the tone, format, and style. They will test wild variations to find what sounds the most natural and direct.
- Together, they refine the prompt library until the output matches your brand voice and meets your operational standards.

By aligning their natural problem-solving instincts, you avoid conative stress and speed up your implementation. The Fact Finder guarantees accuracy, while the Quick Start ensures speed and simplicity. This collaborative approach turns prompt engineering into a repeatable process rather than a frustrating chore.