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📊Product Management

Product strategy, growth, and delivery

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Test yourself: Top 30 Product Management concepts questionsMultiple choice, with the correct answer and why it is correct on every question. Free, no sign-in.

Concepts in Product Management, page 2

User Activation: Engineering the 'Aha' Moment
intermediate2 min read

User Activation: Engineering the 'Aha' Moment

User activation engineers the 'aha' moment when a new user first experiences your product's value. It's measured by a key action, like sending a message in Slack, that predicts retention.

intermediate1 min read

Customer Segmentation: Treat Different Customers Differently

Instead of treating all customers the same, segmentation groups them by shared behaviors or traits. This helps tailor marketing campaigns or manage relationships.

advanced1 min read

Toyota Production System (TPS): The Original Lean

The Toyota Production System (TPS) is a complete socio-technical system, not just a toolkit. It organizes manufacturing and logistics from suppliers to customers.

Porter's Five Forces: Is This Industry Worth Entering?
advanced1 min read

Porter's Five Forces: Is This Industry Worth Entering?

Porter's Five Forces is a framework for analyzing an industry's profit potential. It assesses the competitive environment to determine if a market is attractive or if its structure will drive all profits down to a baseline, like in pure competition.

intermediate2 min read

Churn Rate: How Fast Your Business is Leaking

Churn rate is your business's leak rate—the percentage of customers lost over a period. It's a vital health metric for subscription services like SaaS or streaming. The footgun?

advanced2 min read

Balanced Scorecard: Beyond Financial Metrics

A Balanced Scorecard connects daily actions to long-term strategy by measuring more than just financial results. It's used to align department goals with company objectives, ensuring work supports customer satisfaction.

advanced2 min read

Empirical Process Control: Steer by Observing, Not by Plan

Empirical process control means steering by observation, not by a rigid upfront plan. Scrum uses this to tackle complex problems, inspecting real work in Sprints to adapt. The footgun is fake transparency—if artifacts hide problems, you're steering blind.

advanced2 min read

Go-to-Market (GTM): Your Plan to Enter a Market

A Go-to-Market (GTM) strategy is the complete plan for connecting a product with customers to achieve a competitive advantage. It defines the target market, pricing, and distribution channels. The footgun is treating GTM as just a marketing or sales plan.

advanced2 min read

Customer Lifetime Value (LTV): A Customer's Future Net Profit

LTV predicts the total net profit a customer will generate over their entire relationship. It's used to set marketing budgets and prioritize features for high-value users.

advanced2 min read

Data-Driven vs. Data-Informed: Let Data Guide, Not Dictate

Data-driven means the data makes the call, like in an A/B test. Data-informed means a human makes the call, using data as one key input for strategic choices like setting a budget. The footgun is saying 'data-driven' when you mean 'data-informed'.

Value Stream Mapping: Find the Waste in Your Process
advanced2 min read

Value Stream Mapping: Find the Waste in Your Process

Value Stream Mapping visualizes your entire process, from request to delivery, to separate value-adding work from wasteful delays. It's used to find bottlenecks in manufacturing or software, like code waiting for review.

TAM, SAM, SOM: Sizing Your Market Opportunity
easy2 min read

TAM, SAM, SOM: Sizing Your Market Opportunity

TAM, SAM, and SOM are nested filters for market size. TAM is the total demand, SAM is the segment you can serve, and SOM is what you can realistically capture. It's how you go from 'everyone' to 'our first 1,000 users'.

advanced2 min read

RARRA Framework: Retention Over Acquisition

The RARRA framework flips the classic AARRR funnel, prioritizing Retention over Acquisition. In crowded markets, it's cheaper to keep a user than to find a new one. Use it when acquisition costs are high.

Event Tracking: Measuring What Users Do
easy2 min read

Event Tracking: Measuring What Users Do

Event tracking turns user actions like clicks and purchases into analyzable data. Analytics platforms use this data to report on engagement and conversions. The biggest footgun is inconsistent naming, which pollutes your data and breaks reports.

PESTLE Analysis: Mapping Your Business's External World
easy2 min read

PESTLE Analysis: Mapping Your Business's External World

PESTLE analysis is a strategic checklist for scanning the external world for threats and opportunities you can't control but must react to. It's used for market entry strategy and product development.

Event-based Analytics: Tracking User Actions, Not Page Views
easy2 min read

Event-based Analytics: Tracking User Actions, Not Page Views

Event-based analytics tracks specific user actions—clicks, purchases, signups—not just page views. This model powers product analytics tools to map user journeys and measure feature adoption. The footgun is tracking everything, creating noisy, unusable data.

easy2 min read

UTM Parameters: Know Exactly Where Your Traffic Comes From

UTM parameters are like labels on your website visitors, telling you which marketing campaign brought them. They're added to URLs in ads or emails to measure channel effectiveness. The footgun is inconsistent naming, which splits data and ruins analysis.

The Sprint: A Timeboxed Rhythm for Work
easy2 min read

The Sprint: A Timeboxed Rhythm for Work

A sprint is a fixed-length container, typically 1-4 weeks, where a team turns ideas into a valuable product increment. Sprints give a predictable rhythm to software teams and marketing campaigns. The footgun is treating a sprint as a mini-waterfall project.

User Personas: Build for a 'Who', Not a 'What'
easy2 min read

User Personas: Build for a 'Who', Not a 'What'

Personas are fictional character sheets for your ideal users, grounding product decisions in human needs, not just features. They guide choices from UI to marketing by asking "What would our user do?".

The Data Layer: A Central Hub for Website Events
intermediate2 min read

The Data Layer: A Central Hub for Website Events

A data layer is a central JavaScript object acting as a message bus between your site and analytics tags. It passes event data, like button clicks or purchase values, in a structured way. The key footgun: never overwrite it; always use dataLayer.push().

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