Everyone is sharing their Spotify-style "Wrapped" of 2025, so here’s mine :)
Focused on how my role as a Product Manager has completely transformed over the last year, thanks to AI.
Here you go:
Before AI: I used to spend a lot of time creating docs - writing, formatting, editing, re-editing. It was a big chunk of my day.
After AI: Now I just give enough context and AI creates detailed documents for me. I get to focus on being a good editor instead of a full-time writer. The results are faster, clearer, and way more consistent.
Before: Taking notes during the meeting, or recording and then preparing questions, action items, and next steps, took time.
After: AI tools do it for you. Even if you're not using a paid meeting tool, you can just paste the transcript and get clean insights, tasks, and next steps extracted instantly.
Before: Manual wireframes in Draw.io, Balsamiq, etc. took forever.
After: Lovable, Balsamiq AI, Figma Make — all made me a pro in design. With good prompts, I can bring a wireframe idea to full-fledged design life based on brand guidelines.
It even makes a designer’s job easier because they can pick approved components and content directly from what I've generated.
Before: Simplifying research notes and survey feedback collected from multiple teammates used to take a huge amount of time.
Now: You dump your doc/sheet/notes into an AI tool, and it simplifies everything - highlights key observations, features, feedback, and patterns you might miss.
Before: I used to prepare long questionnaires to understand the requirements better, and after the call, I used to simplify the details manually.
Now: Ideation is easier and much more powerful. You can ask AI to answer those same questions before you even get on a call - after giving enough context, of course.
You get a mental map of what might come up, what problems could appear, and what solutions you can offer. You can even ask AI to generate detailed discovery questions.
Before: Creating project plans manually - timelines, Gantt charts, resource planning - everything took time.
After: Give context, write a strong prompt, and done. It's generated. You just refine and approve.
In the last year, the way I work as a Product Manager has completely changed. The speed, the results, the quality of ideation.
Prompt engineering has genuinely shifted how I handle both daily and long-term tasks.
My biggest highlight this year? Maximising the use of AI tools as a Product Manager.
PS: In the sea of AI tools available to us, you can use what suits you the best, hence the common terminology in the newsletter "AI tools" :)
And that's a wrap!