Blog
Frameworks, teardowns, and ideas for product managers who want to build what matters.
Guides & frameworks
Feature factories run on fake conviction, not bad processes
Feature factories don't happen because teams lack discipline — they happen because teams lack ground truth. Your RICE scores are fine. The problem is you're scoring made-up numbers based on scattered feedback, selective memory, and manufactured conviction.
Your PM tool is solving the wrong problem
Jira and Linear help you build faster. Productboard helps you organize requests. But none of them help with the actual hard part: figuring out what's worth building in the first place.
Your prioritization framework is fine. Your inputs are garbage.
RICE, ICE, Value/Effort—every prioritization framework fails the same way. Not because the math is wrong, but because you're scoring guesses instead of evidence. When your research is scattered across seventeen tools, even the best framework just gives you confident-sounding fiction.
You're documenting insights, not making decisions
Most teams don't have a research problem—they have a synthesis problem. They interview users, collect feedback, and file everything away. What they don't do is argue about what it means until they have conviction. Here's why that gap exists and how to close it.
Stop building features nobody asked for
Feature factories ship fast and learn nothing. Here's how to break the cycle of building features that technically work but nobody actually uses.
Your first 30 days as a new PM (what actually matters)
Most new PM onboarding advice is generic. Here's what actually matters in your first month: building customer intuition fast, establishing your evidence system, and learning to ask the right questions.
What your PM is actually doing all day
Most PM time goes to meetings, status updates, and ticket grooming. Almost none goes to the work that actually determines whether you build the right product. Here's the math.
How to say no to feature requests without burning bridges
Saying no to feature requests is the most important skill in product management. Here's how to do it without making enemies — and how to make your no more persuasive than most people's yes.
Company teardowns
View all →Carbon3.ai is solving the hardest problem in enterprise AI
How UK sovereignty and zero-cost pilot programs are removing the friction between AI proof-of-concept and production deployment.
What Gecko gets right about student engagement (and where they could go next)
A look at how Gecko consolidates messy enrollment data and what it means for small admissions teams trying to compete with bigger schools.
How Vienna AI is solving the dealership overwhelm problem
LISA automates the chaos of automotive retail — but adoption reveals an interesting discovery gap worth closing.
What Staff9's deployment errors reveal about building trust in infrastructure tools
When a deployment returns 404, it's not just a broken link—it's a trust issue. Here's what Staff9 can learn from these errors.
What Xpresso.ae gets right about AI consulting (and what could make it even stronger)
Most AI consultants talk strategy. Xpresso delivers actual implementation — here's what makes their approach work, and how they could scale it.
Softech's real-time sales platform shows strong outcomes but hides its best onboarding content
Strong customer results and modular design, but tutorial accessibility creates unnecessary friction during the critical first week.
What Solution Design Group gets right about consulting (and where the real opportunity is)
A look at SDG's collaborative model and the hidden patterns in what their clients actually need most.
When developers know you exist but still don't use your product
Teabush Consulting's GTM expertise reveals a common trap: high awareness doesn't guarantee activation without the right structural support.
Perceptyx is solving the right problem — and proving it with numbers
When your platform can point to $2M in hiring cost savings and a 40% reduction in top talent turnover, you've moved past vague promises about 'engagement.'
What Anthropic's product decisions reveal about scaling AI safely
A look at how Claude's polish creates unexpected safety challenges, and what that means for enterprise AI deployment.
What Ada's customer evidence reveals about scaling AI agents
Ada's got the receipts on AI ROI, but there's a gap between their proof and how prospects actually experience it.
What Clio's benchmark data reveals about untapped revenue in law firms
A look at how Clio's platform helps law firms optimize pricing, streamline lead intake, and automate billing workflows.
What Gadget got right building a full-stack platform for Shopify developers
A look at how Gadget consolidated the development stack and what comes next for platform growth.
What 1Password's developer tools reveal about their Extended Access Management bet
Looking at how 1Password moved beyond password management into developer secrets, SaaS governance, and AI agent security.
What Stardex gets right about AI in executive search (and where there's room to grow)
A look at how Stardex built an ATS that executive search firms actually want to use, and three ways to make it even stickier.
What Cinder gets right about trust & safety (and where they could go next)
A look at how Cinder built one of the most trusted platforms in content moderation, and three ways they could make it even better.
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