Why “Great Job” Was Never Enough (And What Is)

A few weeks ago, one of my team members handed me a launch plan I hadn't asked for. I was honestly planning to wing the whole marketing side of a new program: social, email, podcast promo, all the pieces. Instead, there it was, mapped out with actual due dates next to each item.

My first reaction was easy: “Oh my gosh, this is amazing. Thank you so much.” I meant every word of it. Then, after the meeting ended, a quieter thought showed up. Is that all I've got to say?

The Gap Between Knowing and Doing, Even for the Expert

Here's the uncomfortable thing to admit. I've spent years studying what good management looks like, appreciation included. I know the research. I know the frameworks. I coach other managers on exactly this skill. And in the moment, with genuinely great work sitting in front of me, my brain produced one sentence any manager could say about any piece of work. It didn't name anything true or specific about what my teammate had actually done, even thought I know better.

Why Vague Praise Is an Expensive Habit

“Great job” doesn't cost the person who says it much of anything. It costs the person who hears it more than you might realize. My team member doesn't walk away with an understanding of what I noticed and why I valued it. She walks away thinking I liked it, which is a smaller and much less useful thing.

Do that enough times on work that's just good enough, and your best people quietly recalibrate. They stop reaching beyond what was asked, because reaching beyond just gets the same good job as everything else gets. You lose the exact behavior you most wanted to encourage.

Then I Turned to AI for Help

Right after that meeting, I went to Claude. I didn’t ask it to “write me a thank-you note.” I gave it the real situation: my team member built a full launch plan across social, email, and the podcast, with due dates, without me asking. I was honestly planning to wing that part myself. I asked it to help me name specifically what she'd done and why it mattered, not just to tell her I liked it.

It came back with my own thoughts, more precicely stated that I could use as a starting point for a message: “I want to call out the launch plan you put together. I was honestly just going to wing the marketing side of this, and instead, we have a real plan across social, email, and the podcast with actual due dates. You did that without me asking. That's exactly the kind of thing that makes a launch not fall apart.”

I didn't hand her that verbatim. That would have been insincere, and it would have shown. I took it, put it into my own words, and said it to her the next day. What the draft gave me wasn't the final product. It was the specificity I couldn't locate on my own in the moment: the contrast between what I was going to do and what she did, and the consequence of why that specific behavior mattered.

The Right Way to Use AI Here

This is exactly the kind of idea that flattens into “have AI write your feedback for you,” and I want to be careful, because that's not what I'm describing and it's not something I'd stand behind. Hand your team AI-generated language and they will feel it. People are shockingly good at detecting a message that came from AI.

So don't outsource the appreciation. Use AI the way you'd use a colleague who happens to be available at nine at night when you're prepping for tomorrow's one-on-one: ask it to help you unpack the situation and find the words. It can ask you what actually happened and hand you back a first draft, which you then translate into something that sounds like you, because it has to be yours or it doesn't work.

You're not asking AI to feel the appreciation for you. You're asking it to help you find words for something you already feel but can't always put into words on your own.

The Modern Manager is a leadership podcast for rockstar managers who want to close the gap between knowing what good management is and actually doing it.

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