Diagnostic Scorecard

Is your genAI workflow caught in the “Skip-Thinking” trap? 

5-Question Diagnostic Scorecard

The 5-Question Scorecard

1. Output Quality: First-Draft-to-Final-Draft Ratio

How much "heavy lifting" (strategic thinking, value-add) is required after the first AI draft?

2. Workflow Efficiency: Strategy vs. Revision

Where does your team spend the majority of its time?

3. Team Role: "Director" vs. "Reviewer"

What is the primary role your experienced team members play in the AI content process?

4. Business Risk: Confidence & Accuracy

How much human review is required to trust the output for accuracy and authority?

5. System Scalability: Process vs. People

How dependent is your AI workflow on a few "hero" employees?

Clears your selections and hides the results.

Your Results

How scoring works

[The "Scoring" Logic] (You would add up their 5 scores, for a total possible score of 25 points.)

If Score is 5-11: You are in the "Skip-Thinking Trap" Your score indicates that your team's workflow is heavily back-loaded, spending the majority of its time on low-value revisions. This is a massive (but common) efficiency leak where your most talented people are stuck acting as reviewers, not directors. This is a direct result of a "prompt and pray" system.

If Score is 12-19: You are in the "Efficiency Gap" Your score is the most common. You are seeing some AI benefits, but your system is still a 50/50 mix of strategic work and backend revision. Your "time-to-final-draft" is likely stalled, and your output quality is inconsistent. You have a clear opportunity to shift your workflow from "AI-assisted" to "human-led."

If Score is 20-25: You are a "Think-First" Leader Your high score shows you already have a strong, "human-led" system. Your team operates as directors, focusing their time on high-value strategy, not low-value revisions. You have successfully avoided the "Skip-Thinking Trap."

Next Steps: From Diagnostic to Implementation

Your diagnostic is complete. This score gives you an objective baseline for the efficiency of your current AI workflow.

Whether it's identified critical efficiency leaks or validated your team's existing strengths, the next step is to ensure your process is repeatable, scalable, and best-in-class.

The next move isn’t to add more tools or “use AI better.” It’s to rebuild the system that connects human reasoning to machine efficiency.

That’s what my Custom AI Content System does. It’s a full solution that combines:

  1. A Tailored “Think-First” Workflow
    A workflow built around your team’s real process — not a template. It restores structure, saves time, and ensures every draft starts with strategy, not guesswork.
  2. A Brand-Trained ChatGPT System
    An AI model fine-tuned on your company’s voice, data, and expertise. It writes with your judgment baked in.

When the right process meets the right model, your team stops editing generic output and starts directing intelligent content.

If you’re ready to turn this diagnostic into a real system, let’s design it.