Proof-of-Work System
Internal Workflow Dashboard for a Small Operations Team
An internal workflow system designed around a realistic small-team workflow where tasks, SOPs, prompts, QA, delivery, and reporting are centralized.
Industry: Agency / Operations / Client DeliveryBuilt around a realistic business workflow to show how I map, structure, automate, document, and present operational systems.
Case Study Artifacts
A calm dashboard for messy internal work.
This proof-of-work system shows how I would structure, automate, document, and hand off this workflow for a real operating team.
Industry context
Small operations teams often move quickly across client delivery, internal admin, content, reporting, and ad hoc requests. The work needs enough structure to stay reliable without becoming heavy.
Workflow problem
Tasks live in one place, SOPs in another, prompts in chat history, QA in memory, and status updates in messages. That makes delivery dependent on whoever remembers the process best.
Starting point
The build starts with repeatable work categories, task states, standard operating steps, reusable prompts, output links, QA checks, owners, due dates, and reporting needs.
- Define the work types the team repeats weekly.
- Separate active tasks from operating knowledge.
- Make QA and delivery states visible before work is closed.
System architecture
The dashboard works as a central operating layer, not just a task list.
Automation map
Automation keeps the dashboard updated and reminds the team what needs action.
Database schema
The schema connects work, knowledge, prompts, output, and review.
SOP/checklist preview
- Create task with owner, due date, work type, and expected output.
- Link the relevant SOP and prompt before work starts.
- Move completed output into QA with source files attached.
- Check formatting, requirements, links, naming, and delivery notes.
- Log delivery and update the reporting fields before closing.
AI prompt library preview
Turn this request into scope, acceptance criteria, owner notes, and potential blockers.
Convert the completed workflow into clear steps, required inputs, checks, and handoff notes.
Review this output against requirements and return issues, missing inputs, and release readiness.
Dashboard mockup
The dashboard is designed for daily scanning: what is due, what is blocked, and what is ready.
QA controls
- Tasks require owner, due date, category, and expected output.
- QA state is separate from delivered state.
- Prompts include input requirements and quality guardrails.
- Reports surface overdue, blocked, and review-needed work.
Implementation notes
I would implement this with a Notion or Airtable base, role-specific views, reusable prompt records, file links, required QA fields, weekly reporting, and low-friction automation around status changes.
Proof
What this system proves
I can convert scattered internal work into a dashboard that combines tasks, knowledge, AI support, QA, and reporting without making the team operate inside a complicated tool.
Next Build
What I would build next
Role-based dashboards, workload capacity views, recurring task generation, QA scoring, and a weekly operations review that rolls up blockers and completed work.
Operating Value
Built for team adoption
The system gives a small team one place to see tasks, SOPs, prompts, QA, delivery status, and reporting without relying on memory or scattered messages.
Let’s Build Your System
Need a workflow dashboard your team can actually use?
Bring tasks, SOPs, prompts, QA, delivery, and reporting into one calmer operating system.