George from 🕹prodmgmt.world Profile picture
Aug 2 11 tweets 2 min read Read on X
"Everyone can now vibe code features - CPO, customer success, data analysts."

PM's immediate reaction: "If everyone's building... what makes me irreplaceable?"

I watched this exact conversation unfold. The conclusion might surprise you: 🧵
The PM's fear is real:

• CPO has strategy vision AND can build
• CX has customer proximity AND can build
• Data analysts have insight depth AND can build
• Engineers have technical judgment AND can build

Where's the PM's unique value?
Standard advice: "Become an amplifier! Be the synthesizer! Orchestrate the chaos!"

But here's the brutal truth:

Engineers can orchestrate features.
AI can synthesize insights.
Anyone can "amplify" with the right tools.
So I asked: "What would have to be true for your fear to become reality?"

The PM started mapping it out:

If vibe coding + AI synthesis + basic project management = product success...

Then yeah, PMs become redundant.
The conditions for PM obsolescence:

✅ Building barriers removed (vibe coding)
✅ Information synthesis automated (AI)
✅ Customer feedback directly accessible (CX tools)
✅ Data insights democratized (analytics platforms)
✅ Strategic context transparent (company wikis)
When you map it out like this...

a) we're not there yet, but
b) the traditional PM skillset does start looking pretty replaceable.

"But I coordinate!" → Project managers do that
"But I prioritize!" → Anyone with frameworks can do that
"But I synthesize!" → AI does that faster
The PM realized something chilling:

"I'm becoming an account manager for features that other people build, prioritize, and improve."

That's not product management.
That's overpaid pencil-pushing.
Most "solutions" I hear are just delaying tactics:

"Build better relationships!"
"Get closer to customers!"
"Learn to code!"

But if your core value prop can be replicated...
You're just buying time until someone replicates it.
The real question isn't:
"How do I adapt to democratized building?"

It's:
"What is the one thing I do that nobody else can replicate - even with all these tools?"
Because here's what I realized:

Every other role has a core that's hard to replicate:
• Engineers: Complex system design
• Designers: Human-centered problem solving
• Data scientists: Statistical modeling

What's the PM equivalent?
I don't have the answer yet.

But I know it's not "coordination" or "synthesis" or "stakeholder management."

Those are table stakes now.

The question that keeps me up: What IS the irreplaceable PM superpower?

What do you think? 👇

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More from @nurijanian

Jul 30
You've got this brilliant feature idea.

You've done the research, talked to users, even built a prototype.

But when you pitch it to the team, you get:

- "We don't have time"
- "What about technical debt?"
- "How does this fit our roadmap?"

Here's what I learned after 50+ feature pitches that failed:
The biggest mistake I see PMs make:

They think "buy-in" means convincing people their idea is good.

Wrong.

You're not selling a feature. You're selling a story.

And the story isn't about your solution, it's about a problem everyone already agrees exists.
Think of it like chess.

You can't just move your queen and expect to win.

Every move affects the entire board. Every stakeholder has their own pieces to protect.

Engineering wants to maintain code quality.
Design wants UX consistency.
Business wants predictable delivery.

Your job: Show how your move helps everyone win.
Read 13 tweets
Jul 29
Your technical skills got you the PM role.

But your stakeholder skills will make or break you.

I lost multiple battles as a PM by being "right" but ineffective.

Here's what I’d do differently now:
1/ First, understand why smart people push back against good data:

• They have context you don't
• They're optimizing for different goals
• They see risks you haven't considered
• They have pressure from their stakeholders
• Past experiences are coloring their judgment
2/ The immediate urge is to:

- Gather more data
- Build stronger arguments
- Rally support

Stop.

Your goal isn't to win the argument.
It's to make the best decision for the product AND maintain relationships.
Read 15 tweets
Jul 29
Your engineering background is a superpower for writing PRDs.

But only if you know how to translate technical depth into business impact.

After reviewing probably about ~ 100 technical PRDs last year, here's what separates great ones from the rest 🧠 Image
1/ First, a hard truth:

Your technical expertise can actually work against you when writing PRDs for non-technical stakeholders.

The more you know, the harder it becomes to explain simply.

This is why senior engineers often struggle more than juniors when becoming PMs.
2/ The root cause isn't your technical knowledge.

It's approaching PRDs like technical specifications.

Engineering docs optimize for completeness.
Business docs optimize for decisions.

Different tools for different jobs.
Read 22 tweets
Jul 28
Most PMs burn out... Not from overwork, but misalignment.

They thought they'd build great products.
Instead: endless stakeholder alignment and decks.

After 100+ PM interviews and 200+ JD analyses, I decoded the hidden red flags.

I'll teach you in 5 minutes what took me years:
"Strategic thinking" isn't what you think it is

Most PMs assume strategic work means:
• Vision creation
• Market analysis
• Product direction
But in 70% of companies, "strategic" work actually means:

• Creating alignment decks
• Navigating organizational politics
• Endless stakeholder meetings
• Minimal building, maximum presenting

Test: Ask "What percentage of strategic work involves creating vs. communicating?"
Read 13 tweets
Jul 28
Product Management Maxims: Hard-earned wisdom for the daily work

A thread of practical rules that will save you years of painful lessons. ⚡
1. If you want good requirements, talk to five customers. If you want great requirements, watch five customers struggle with your product.

People lie about what they need. They never lie about what frustrates them.
2. If your product meetings are full of debate, you lack data. If they're silent, you lack trust.

Good teams argue about interpretations, not facts. Silent teams hide disagreement.
Read 17 tweets
Jul 27
How To Get Rid Of Analysis Paralysis Forever, Even If You’ve Tried Everything: 👇 Image
1. Stop using good outcomes to validate your process.

A successful feature ≠ good decision
Failed experiment ≠ bad decision

Track your decisions BEFORE knowing outcomes. Compare your expected probability of success vs actual.

This exposes your true hit rate.
2. Your "high-impact vs low-impact" framework is wrong.

Real framework:
- Is it reversible?
- Does it repeat?
- Are options similar?
- Outside your control?

These determine speed vs quality tradeoff, not just "impact"
Read 11 tweets

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