George from 🕹prodmgmt.world Profile picture
Aug 26 17 tweets 3 min read Read on X
I've never seen a roadmap survive contact with reality.

Not once. In 15+ years of product work.

Yet we spend weeks building beautiful charts and quarter-by-quarter feature lists like we can predict the future.

🧵
1/16 Watch any PM in December:

Frantically building next year's roadmap like they can predict customer behavior, market shifts, and technical challenges 12 months out.

Same energy as checking your horoscope for investment advice.
2/16 Roadmaps promise something impossible: certainty in an uncertain world.

They make us feel like we have control. Like we're strategic. Like we know what we're doing.

But they're really just elaborate fiction dressed as planning.
3/16 Companies spend more time planning roadmaps than questioning if roadmaps work.

It's like elaborate rain dancing. Nobody wants to admit it doesn't control the weather.
4/16 Built the exact feature customers asked for?

They don't use it.

Built something completely different?

"This is exactly what we needed!"

Customer interviews don't predict customer behavior.
5/16 The dirty secret about roadmap planning:

We start with what we want to build, then work backwards to justify the timeline.

"This should take 2 months" becomes "This will take 2 months" in the slide deck.
6/16 Roadmaps fail because they assume static context:

Market stays the same (it doesn't)
Competition stays the same (it doesn't)
Team stays the same (it doesn't)
Company priorities stay the same (they don't)

Yet we plan like none of this will change.
7/16 We roadmap the known unknowns but ignore the unknown unknowns:

Known: "This integration might be complex"
Unknown: "The vendor will change their API twice"
Unknown: "Our biggest customer will threaten to leave"
Unknown: "Legal will block the launch"
8/16 Roadmaps assume perfect execution:

No one gets sick
No one quits
No technical debt blocks progress
No urgent bugs derail the team
No scope creep happens

Have you met humans?
9/16 My favorite roadmap lie: "accurate" time estimates.

"This will take 6 weeks"
(Based on what? The last time we built something completely different?)

We estimate like we have historical data for novel work.
10/16 Stakeholders treat roadmaps like contracts:

"You said Q3, it's now Q4"
"The roadmap shows mobile first"
"This wasn't on the original plan"

But they were built on assumptions that expired months ago.
11/16 What works better than detailed roadmaps:

Clear principles for decision-making
Outcome goals instead of feature lists
Quarterly themes, not monthly commitments
Options, not promises
12/16 The best "roadmaps" I've seen:

3 months: Specific commitments
6 months: General direction
12 months: Strategic themes

The further out, the vaguer it gets. That's honest planning.
13/16 Instead of defending the roadmap, constantly question it:

What changed since we made this plan?
What did we learn that invalidates our assumptions?
What would we do differently if we started today?

Plans should evolve, not persist.
14/16 Stop saying: "Here's what we're building next year"
Start saying: "Here's how we'll decide what to build"

Stop promising features.
Start promising good judgment.
15/16 Many PMs struggle with roadmap pressure due to lacking systems to convey uncertainty while maintaining credibility.

I've built 120+ prompts for these exact situations - stakeholder communication, planning under uncertainty, priority frameworks.

prodmgmt.world/products/ai-pr…
16/16 Your roadmap isn't a plan - it's a starting point for conversation.

Stop defending fiction. Start embracing reality.

Complete PM system for planning in uncertainty (frameworks, communication templates, decision tools):
prodmgmt.world/products/produ…

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More from @nurijanian

Aug 26
Confession: I've never seen a PM framework actually work in real life.

RICE, ICE, Value vs Effort - they're all just ways to make gut decisions look scientific.

But we keep pretending they're magic because it makes us feel less like frauds.

🧵
1/17 Product decisions are fucking terrifying. You're betting the company's future on incomplete information.

Frameworks give us the illusion of control. "I used RICE, so if this fails, it's not my fault - the system failed."
2/17 We're addicted to frameworks because they promise something impossible:

Perfect decisions from imperfect data.

It's like horoscopes for PMs. Vague enough to feel right, specific enough to feel scientific.
Read 18 tweets
Aug 22
You're not bad at decisions. You're drowning in them.

The 3pm panic when every choice feels equally critical signals decision fatigue, not poor judgment.

Confident PMs don't make better decisions. They make fewer decisions.

This validation framework reduces decision load: ↓
🔴 LEVEL 1: Irreversible (product direction, team structure)
🟡 LEVEL 2: Expensive to reverse (major features, partnerships)
🟢 LEVEL 3: Cheap to reverse (copy changes, small experiments)
⚪ LEVEL 4: No decision needed (delegate or automate)

Most PMs who naturally sort decisions by reversibility already operate at a senior level.
Level 1 decisions:
- Maximum 1 per day
- Fresh morning brain only
- Written analysis required
- Sleep on it rule (24hr minimum)
- Stakeholder alignment needed

Examples: Product strategy, market positioning, core architecture
Read 9 tweets
Aug 17
After studying high-performing PMs for years, I noticed something strange:

The most impactful product managers often do LESS than their peers.

They write shorter docs. Hold fewer meetings. Create simpler processes.

They've mastered making impact look effortless.

Here's how:
I spent my first 3 years as a PM writing 30-page PRDs no one read and creating complex processes no one followed.

I thought "good product work = hard product work."

But what if the opposite is true? What if making it harder actually reduces your impact?
Greg McKeown in his book Effortless suggests we ask: "Why is this so hard?" followed by "What if this could be easy?"

This simple inversion challenges everything in product culture.

Every time you feel you're pushing a boulder uphill, that's your cue: there's probably an easier path.Image
Read 20 tweets
Aug 16
99% of PMs complain about their managers.

1% of PMs turn their manager into a career accelerator.

The 1% stopped "managing up" and started creating mutual leverage.

Here's the exact playbook ↓
Your manager spends 2-3 hours/week thinking about your work.
You spend 40+ hours executing it.

This 20:1 asymmetry creates most PM-manager tensions.

The solution isn't more meetings or better updates.
It's creating *mutual leverage*.
Stop thinking "How do I manage my manager?"
Start thinking "How do we multiply each other's impact?"

When PMs make this shift:
• Autonomy increases
• Micromanagement disappears
• Career velocity accelerates

Let me show you the system.
Read 15 tweets
Aug 14
78% of organizations now use AI in at least one business function (McKinsey 2024).

But most product leaders are still using it for basic tasks like writing PRDs.

Here's how to leverage AI for strategic advantage (with actual prompts that work): 🧵
McKinsey found only 1% of companies believe they're at AI maturity.

Meanwhile, 43% of professionals use AI tools without telling their bosses (2024 survey).

The gap? Most PMs don't know HOW to prompt AI for strategic work vs. documentation.
From my AI prompt collection - Transform competitive analysis:

"Analyze the spreadsheet thoroughly. Pay attention to:
- Features unique to your company
- Areas where you outperform competitors
- Gaps in market not addressed by competitors"

Real PMs report 40% productivity gains with strategic prompting.
Read 7 tweets
Aug 13
The real impact of AI on PM work:

PRDs: 8 hours → 45 minutes
Interview analysis: Full day → 30 minutes
Strategy decks: 2 days → 3 hours
Requirements docs: 5 meetings → 1 async session

Here's exactly how the workflow changes 🧵
BEFORE AI:
- Monday: Gather scattered inputs (2 hrs)
- Tuesday: Blank page to first draft (3 hrs)
- Wednesday: Stakeholder feedback rounds (2 hrs)
- Thursday: Endless revisions (1+ hr)
- Friday: "Actually, can we add..." (∞)

WITH AI:
- Dump all context into structured prompt (5 min)
- Review generated draft (20 min)
- Customize for specific needs (20 min)
- Ship
The old way:
- 10 interviews = 10 hours recording
- Manual transcription = 3+ hours
- Finding patterns = 4 hours staring at notes
- Writing insights = 2 hours
- Total: 19 hours across 2 weeks

The AI way:
- Recording time unchanged (10 hrs)
- Auto-transcription (instant)
- Pattern extraction (30 min)
- Insights with supporting quotes (automated)
- Total: 10.5 hours in a few days
Read 9 tweets

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