Training & Continuous Optimization

Our staff skews older — can they learn to use it? How do we keep using it after launch?

← Back to Getting Started

Three Learning Methods

Method 1: Self-Paced Learning

A fully self-guided course that requires no instructor.

Design features:

• Single-page layout — just scroll down, you won't get lost
• Opens with automatic guidance to the next step
• Coach-style encouragement: real-time progress feedback in the sidebar
• Gray-to-color certificate progress bar that keeps you motivated to finish

Video tutorial channels:

• Botrun AI Platform Tutorial
• Government AI Platform Tutorial

Method 2: On-Site Training (Instructor-Led)

Best for deploying across an entire department.

Real example — Ministry of Interior training plan:

• Schedule: Late March to early April, 4 half-day sessions
• Participants: 26 people
• Content: AI Play platform operations + data analysis hands-on (using real CSV data)
• Approach: Not a lecture — everyone opens their laptop and follows along

Method 3: Three Required Courses

For teams that have already started using the platform, ensuring everyone reaches baseline competency.

1. Mindset Course: What can AI do and not do? How to collaborate with AI?
2. Hands-on Course: Four practical exercises (everyone must pass)
3. Advanced Course: How to build and maintain a Quality Question Bank

Assessment mechanism: Employees upload screen recordings, and AI automatically scores them. This ensures people don't just "attend the class" but actually "know how to use it."

Continuous Optimization

Preventing Usage Decline

Lesson from CPC Corporation: An 8M TWD project with 200 users saw noticeable usage decline three months after launch. The cause was a lack of ongoing usage monitoring after deployment.

Botrun's "Human-Centered Ambassador" mechanism:

• Each deployment client is assigned a "Human-Centered Ambassador"
• The ambassador's focus isn't cost control, but rather: "Do users enjoy using it? What difficulties are they facing?"
• Regular usage data tracking with proactive issue detection

Continuous Question Bank Optimization

The Quality Question Bank is not a one-and-done effort. As your business evolves, you need to:

• Regularly add new business scenarios
• Refine answer quality based on user feedback
• Update evaluation criteria (regulatory changes, process adjustments)

Scaling from One Department to the Entire Organization

Successful organizational scaling typically follows this path:

1. Pilot with a single department — Choose a department with clear pain points for a POC, quickly validate results
2. Quantify results — Present concrete numbers showing time and cost savings, let the results speak for themselves
3. Develop internal champions — Have people from the successful department help onboard other departments, lowering the adoption barrier
4. Secure resources from leadership — Present results at management meetings, drive cross-department budget allocation

Next Steps

• ← Back to Getting Started
• Haven't built your question bank? — See Quality Question Bank
• Want to hold a hackathon? — See Hackathon Validation