Hey friends,

If you’ve ever managed a product or a project in 2025, you probably know the feeling: you’re juggling 12 tasks, three deadlines, and two dozen Slack messages — all before lunch.

Product management today feels like living inside a browser with 47 tabs open. We’re constantly shifting between strategy, storytelling, spreadsheets, and people.

Some days, I catch myself thinking — this isn’t managing anymore, this is surviving.

That changed when I started using ChatGPT — not as a writing assistant or a research engine, but as a thinking partner.

At first, I treated it like a time-saver. Then, I realized it was a mirror. It reflected how I think, where I skip logic, and when I hide behind busywork.

Over time, it’s become a quiet co-pilot — the one tool that helps me slow down enough to see clearly.

In this edition, I want to show you exactly how I use ChatGPT in my work — the real prompts, the mental shifts, and even the mistakes.

If you’re a product manager (or a project manager) trying to find clarity in all this noise, this one’s for you.

Let’s dive in.

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One of the first things I learned: ChatGPT doesn’t just find information — it finds angles.

I used to spend hours digging through reports, spreadsheets, and competitor decks. Now, I ask one focused question and let ChatGPT connect the dots for me.

But here’s the catch — the real magic isn’t in what it tells you, it’s in how you ask.

When I was researching a new product category recently, I didn’t ask, “Who are our competitors?”

I asked, “What needs are these competitors failing to meet?”

That single word — failing — flipped the insight. Instead of listing players, it surfaced opportunities.

Traditional research gathers information. ChatGPT synthesizes it — but the real insight comes when you ask it to question what’s missing.

When a team at Spotify explored emerging behavior around short-form audio, they asked ChatGPT not just for competitors, but for what users weren’t finding anywhere else. That question led them toward developing personalized focus playlists — an entirely new listening behavior.

It’s not about speed. It’s about better questions.

Every PM knows the early stage chaos — a vague idea, a few notes, and a looming sense of “where do I start?”

Ideas usually start messy — part instinct, part possibility. ChatGPT forces you to externalize them, helping you define what you’re actually building and why.

Duolingo’s product team used GPT internally to simulate product scenarios when designing their AI tutors. By mapping features, risks, and milestones conversationally, they clarified their north star: learning that feels like dialogue, not drills.I dump everything into ChatGPT. Literally. Meeting notes, Slack quotes, scribbles. Then I ask it to help me see what I already have but haven’t yet noticed.

Prompts to use:

It’s like therapy for your product ideas — it listens, it clarifies, and it quietly tells you, “You already know where to start.”

Let me confess something: I used to hate writing PRDs.

They felt like admin work — long, structured, lifeless.

But once I started co-writing them with ChatGPT, I realized PRDs are less about documentation and more about discipline in thinking.

When I paste my raw notes into ChatGPT and say, “Turn this into a PRD,” it not only formats it — it flags the gaps I didn’t see. Things like: “You haven’t defined success metrics,” or “You’ve listed features but not the user benefit.”

Notion’s PMs began using GPT to turn unstructured notes into draft PRDs. The AI-generated questions — “What problem does this actually solve?” and “Who defines success?” — became prompts for team debate.

Prompts to use:

Now, I think of PRDs as my pre-mortem — a chance to find weak logic before it meets the real world.

There’s one dangerous habit we PMs all share — falling in love with our own ideas.

I’ve done it too. You start seeing every feature as genius, every prototype as “almost there.”

So now, before I pitch anything, I ask ChatGPT to play devil’s advocate.
“What’s wrong with this idea?” “Where will this fail?”

The answers are humbling — but that’s the point.

Once, I was preparing a feature launch and asked ChatGPT to critique it. It surfaced something I’d completely missed: accessibility issues that could alienate an entire user group.

That moment saved me weeks of rework — and a lot of embarrassment.

Prompts to use:

AI doesn’t have feelings. But it can teach you to manage yours better.

I’m a big believer that product management is just empathy, systemized.

When I prepare for interviews, I use ChatGPT to simulate user conversations — not to replace real users, but to refine how I ask.

It helps me spot bias, leading language, or gaps in logic.

I remember testing questions for a customer discovery sprint. I fed my list into ChatGPT and asked, “Which of these are too leading?” It highlighted half of them. I rewrote every one.

When I finally spoke to real users, the conversations were more open, honest, human.

Good AI makes you a better listener.

Pricing is one of those decisions that lives in the tension between intuition and math.

I used to rely purely on competitor analysis. Now, I start with ChatGPT — not for answers, but for structure.

It helps me map pricing logic against user psychology. Why does a $9 plan feel light, but a $12 plan feel “premium”? Why do users upgrade even when they don’t need more features?

ChatGPT won’t set the price for you, but it will give you the mental model to think like your customer.

Prompts to use:

Data informs pricing. Emotion decides it.

Before I green-light any feature, I write a press release — not for marketing, but for clarity.

This trick came from Amazon. If I can’t write a one-page story that makes people care, it’s not ready to build.

ChatGPT makes this process painless. I feed it the idea and ask it to draft a release. Sometimes it nails the message. Sometimes it falls flat — and that’s a sign the feature does too.

Prompts to use:

If you can’t explain it simply, the problem isn’t your writing — it’s your reasoning.

Every metric tells a story, but not every story matters.

When I analyze product data, I use ChatGPT to interpret the “why” behind the numbers.
It helps translate analytics into behaviors, not dashboards.

Once, I asked it to explain a drop in engagement. Instead of generic answers, it pointed out that the decline aligned with a UX update I’d forgotten we made. That insight reframed our entire post-mortem.

Metrics make sense when they sound like people again.

The best onboarding doesn’t teach users everything — it just helps them believe, I can do this.

For one project, I used ChatGPT to design onboarding sequences for three user segments. It pointed out where confusion could spike — tiny things like button labels and email timing — details I would’ve missed otherwise.

We changed the flow. Completion rates jumped 18%.

Prompts to use:

AI helps you design not just for usability — but for emotion.

I once heard someone say, “Data doesn’t speak — it whispers.”

And that’s exactly where ChatGPT helps: it amplifies the whispers.

When I analyze performance or feedback data, I often upload tables and ask, “What patterns do you notice that might not be obvious?”

It surfaces hidden correlations that sometimes change my entire roadmap.

That doesn’t mean I trust it blindly. It’s not the truth — it’s the starting point for curiosity.

Prompts to use:

ChatGPT won’t tell you what’s right. But it will help you see what you’ve stopped noticing.

Whenever I have to pitch a new initiative, I use ChatGPT to sanity-check my story.

I’ll write my messy narrative, then ask: “Make this simpler without losing conviction.”
Sometimes the AI gives me one line that feels so clear I wish I’d written it myself.

That’s how I realized — a good pitch isn’t persuasion. It’s clarity.

A great deck doesn’t convince people — it makes them remember why the idea matters.

I use ChatGPT constantly for communication — not to sound like someone else, but to rediscover how I sound when I’m clear.

When I’m writing internal updates or product announcements, I’ll often generate a few versions and ask, “Which of these feels most authentic?”

It’s amazing how often the answer is: the one that sounds like a human wrote it, not a marketer.

Prompts to use:

AI can imitate tone. But it can also reveal what your real tone has been missing.

Every PM has blind spots — I have plenty.

So when I make a big decision, I’ll paste my reasoning into ChatGPT and ask it to argue against me. It’s not perfect, but it’s brutally fair.

Sometimes it catches logical fallacies. Other times it exposes assumptions I didn’t realize I’d made.

That’s what I love most — it’s not there to flatter you. It’s there to make you think better.

At Microsoft, one PM routinely feeds their product decisions into GPT and asks it to argue from multiple angles — investor, user, and competitor. The counterarguments often expose blind spots before they turn into failures.

Prompts to use:

Good PMs have answers. Great PMs have curiosity.

Project management today looks very different from even a few years ago.

AI is quietly reshaping how we plan, organize, and deliver work. What once consumed hours — scheduling, progress tracking, reporting — is now automated by intelligent systems that streamline coordination and reduce administrative load.

This shift is freeing project managers to focus on what truly matters: people, not paperwork.

Despite its growing capabilities, AI still lacks one defining trait — empathy.
It cannot sense when a teammate is overwhelmed, resolve tensions within a team, or comfort a client when things don’t go as planned.

Great project managers bring emotional intelligence to the table. They turn uncertainty into structure, conflict into collaboration, and data into shared purpose. These human skills remain irreplaceable — and they will define what leadership means in the AI era.

The future of project management isn’t about competition between humans and technology.
It’s about collaboration.

AI will handle the operational complexity — automating tasks, analyzing risks, and optimizing workflows.

Humans will continue to handle leadership — setting vision, inspiring creativity, and building relationships that no algorithm can replicate.

When we combine AI’s efficiency with human empathy and judgment, we don’t just manage projects better — we lead them with purpose.

Here’s the part I learned the hard way — not everything ChatGPT writes should be used.

AI saves time, yes. But that time only matters if you use it to think better, not cut corners.

So here’s what I’ve trained myself (and my team) to avoid:

ChatGPT is a co-pilot, not a ghostwriter.
You’re still the one responsible for steering the plane.

If you’ve made it this far, here’s what I hope you remember:

AI won’t make us less human. It’ll give us back the time to act more like one.

If you’re already using ChatGPT in your workflow — tell me how.

I’d love to feature real prompts and reflections from PMs who are experimenting thoughtfully with AI.

Reply to this or drop me a message — let’s learn from each other.

It’s time to build with clarity, question with courage, and never forget: the best product decisions still come from people who care.

Until next time — stay curious, stay human.

– Naseema