Insights & Learnings
Field notes on product decisions, activation, metrics, evidence, and growth systems. How to keep product work connected to real user value.
The Prompt That Took Attention Without Changing the Outcome
A sticky prompt changed user behavior, but the headline interaction metric did not settle the decision. The real question was whether it created new value or mostly redirected existing intent.
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Activity Metrics Are Not Value Metrics
One of the most expensive mistakes in product analytics is optimizing for proxy metrics instead of actual value. A team improves: • clicks • screen views •...
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Tracking Everything Is Not an Analytics Strategy
“Let’s just track everything.” This sounds like a good analytics strategy until the system becomes impossible to maintain. Teams assume more events...
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Companies Optimize for Metrics They Do Not Trust
One of the biggest problems in product development is that companies often optimize for metrics they don’t actually trust. Or even worse – metrics they never...
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The Most Dangerous Analytics Bugs Are Invisible
The most dangerous bugs are often invisible. If a feature crashes — users notice quickly. If backend goes down — alerts fire immediately. But analytics...
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Modern PM Scope Is Too Broad for Analytics to Be a Side Task
Modern PMs are expected to do almost everything. Understand users. Define strategy. Prioritize roadmap. Coordinate teams. Analyze funnels. Run experiments....
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Funnels Look Objective, and That Is Why They Are Dangerous
Funnels look objective. That’s why they are dangerous. A dashboard shows: Step 1 → 1000 users Step 2 → 300 users And suddenly everyone believes: “we have 70%...
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The Cost of One Wrong Analytics Conclusion
One wrong analytics conclusion can easily cost a company thousands of dollars. And the most expensive part is often not the money. It’s the lost time. Imagine...
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Why Product Teams Lose Trust in Analytics
Most product teams trust their analytics. Until they discover they were making decisions based on broken tracking for months. One team believed they had a 70%...
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AI-Generated Tracking Can Quietly Change Product Semantics
A team had a tracking specification and a correct iOS implementation. They decided to generate the Android implementation by AI. What could go wrong? During...
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Analytics Implementation Needs End-to-End Ownership
Most companies don't actually have someone owning analytics implementation end-to-end. Product defines events. Engineering ships features. Data consumes...
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The Implementation Detail That Changed the Funnel
Data team built a great funnel. Product came up with hypotheses. Design prepared solutions. The numbers looked convincing. Everyone felt confident before...
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A 70 Percent Funnel Drop That Was Actually 12 Percent
An "unnamed" company was in panic mode because of a supposed 70% drop in one registration step. PMs were preparing hypotheses and experiments. Designers were...
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Tracking Almost Never Breaks in a Visible Way
Tracking almost never breaks in a visible way. It just slowly stops reflecting reality. Features get shipped. Screens get rewritten. Events drift. Dashboards...
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Most Teams Have a Tracking Debt Problem
Most teams have a "tracking debt" problem, even if they don't call it that. It works like technical debt: every refactor, every feature, every shortcut leaves...
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When Nobody Owns Analytics Tracking End to End
A team I worked with had a 30% drop in iOS reactions on social posts. Product blamed iOS. "Must be an iOS bug, the new update probably broke something."...
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MVPs Need Proper Tracking Earlier Than Teams Think
Almost every MVP I see ships without proper tracking. Founders are focused on features. Tracking feels like overhead. Engineers add a few obvious events and...
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Events Lost During Migration or Refactoring
The silent tracking failure almost nobody catches: events lost during migration or refactoring. You rewrite a screen. Or you refactor a component. Or a flow...
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iOS App Tracking Debt: Quietly Incomplete Data
Audited a production iOS app's tracking last week. 32 screens, 110 events across the codebase. A few of the findings: - One event accepted an optional...
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Why Short-Term Monetization Can Kill Long-Term Trust
A product analysis of Jumpspeak and the risks of optimizing for immediate metrics over user trust.
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What Is a Product Decision Framework?
Understand what you get and how it helps your business grow.
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Different Stages, Different Mindsets: How Founders Kill or Multiply Growth
Learn how your mindset must evolve as your product grows — from explorer to operator. Discover the key CEO traits for every stage of product growth.
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Prioritization That Drives Growth: How to Build a Roadmap That Actually Works
Stop shipping features for their own sake. Tie every item to a metric, use simple scoring, and build a roadmap that moves the business.
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The Power of Activation: Why the First 5 Minutes Decide Your Product’s Future
Define your activation moment, fix first‑time UX, and watch retention and monetization improve, without increasing ad spend.
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Why Your Product Isn’t Growing (and What to Do About It)
The real reasons growth stalls and a practical playbook to diagnose blockers and restart product growth without burning your budget.
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the problem.
An app that needs building. A migration that needs someone to own it. Numbers that don’t make sense. A product decision your team can’t resolve. Tell me what’s happening. I’ll tell you whether I’m the right person, how I’d approach it, and what the work would cost.
Email Alex ↗alex@x91tech.com