First-Use-Case Ideas by Role
First-Use-Case Ideas by Role
Ready first moves for Owner, Ops, Marketing, and Finance.
What’s in it
- Sixteen ready-to-use prompts organized by role (Owner, Ops, Marketing, Finance)
- Owner prompts for decisions, meeting prep, business messages, and weekly management signals
- Ops prompts for SOPs, request triage, handovers, and spotting recurring friction
- Marketing prompts for content repurposing, campaign briefs, customer language, and content backlogs
- Finance prompts for report explanations, expense coding, cash views, and monthly commentary
- A four-step method to pick the right role, adapt the prompt, and measure human effort before and after
- A "Make the Pick" worksheet to shortlist candidates and commit to one experiment
How to use it
Pick the role closest to your work, then choose one prompt that matches a recurring task in your week (not the most exciting one, the most repetitive one). Adapt the bracketed text, paste only the information the task needs, and keep a human check where the outcome matters. Measure current human effort before running the prompt and again after. If the realistic saving reaches five hours in your chosen review period, it passes the 5-Hour Effort Saving Rule and you've found a strong first use case. Use the "Make the Pick" worksheet at the end to commit to one experiment instead of leaving with sixteen ideas.
The best first AI use case isn’t the most impressive one, it’s the one that removes enough repetitive effort to matter. This prompt pack helps you find it fast, without over-engineering. It’s designed to sit beside the 5HESAR worksheet (the 5-Hour Effort Saving Rule) and is organized into three parts:
- Sixteen ready-to-use prompts across four roles (Owner, Ops, Marketing, Finance), each targeting recurring work already visible in your week.
- A four-step method for picking the right role, adapting the prompt, and measuring human effort before and after.
- A “Make the Pick” worksheet to shortlist candidates, commit to one experiment, and define what will tell you it worked.
The goal is to leave with one experiment, not sixteen ideas, and to prove real time savings before scaling.