Good management is upskilling with intention.

“My job isn't to be the person who knows. It's to make sure the team does, and to write it down so the next person does too.”

1. 01

   Diagnose before you train

   Most training fails because it answers a question nobody asked. I watch the work first, then build for the gap I can see.

   Example

   I noticed program participants were listing AI tools on resumes without being able to prove they'd used them. I built a main-stage class on proving AI fluency, with a facilitator guide, in under two hours.

2. 02

   Teach on real tasks

   A demo exercise teaches the tool. A real task teaches the habit. Every workshop I run ends with homework that is someone's actual job.

   Example

   The first AI workshop's homework was "use one prompt from the handbook on your real inbox this week and tell me if it saved time."

3. 03

   Make it repeatable

   If a session only works when I run it, it isn't training, it's a performance. I write every session down so anyone can run it next time.

   Example

   The team training log now includes sessions led by specialists and partners, not just me.

4. 04

   Coach 1:1 when someone asks

   Group sessions build the floor. The 1:1 is where someone gets good. When a specialist asks for time, that's the signal the training worked.

   Example

   One deck-rebuilding session ended with the specialist running the workflow live, with correct fonts and colors on the first pass.

5. 05

   Advocate up

   A manager's job includes asking leadership for the tools the team needs, with a case they can say yes to.

   Example

   I built the business case for paid AI seats. Leadership committed to advocate for national-lead seats and asked for the full-team case next fiscal year.