Metrics
400 bites tagged Metrics — interview questions with model answers, and 60-second explainers.
Sessionization: Turning Raw Events into User Stories
Sessionization groups a user's raw clicks and page views into a single "visit." It's used to analyze conversion funnels and calculate metrics like time-on-site. The main footgun: your definition of a "session" is arbitrary and can skew results.
Marketing Attribution: Deciding Who Gets Credit for a Conversion
Attribution modeling decides which marketing touchpoint gets credit for a conversion. It's used to justify ad spend by assigning value to channels like email, social, or search. The biggest footgun is using a simple model that overvalues the final click.
The HEART Framework: Measuring User-Centric Success
The HEART framework measures user-centric success, not just clicks. It provides five categories (Happiness, Engagement, Adoption, Retention, Task Success) to track product health.
AARRR Framework: Pirate Metrics for Growth
The AARRR framework models your business as a five-stage customer funnel: Acquisition, Activation, Retention, Referral, Revenue. It's used to pinpoint leaks in your growth engine. The footgun is tracking raw counts instead of conversion rates between stages.
The North Star Metric: A Single Focus for Product Strategy
A North Star Metric is the one number that best captures the core value your product delivers to customers. It aligns entire teams on a single goal, simplifying prioritization and reducing wasted work. The footgun is mistaking revenue for a North Star.
Vanity vs. Actionable Metrics: Measure What Matters
Actionable metrics are levers that change business outcomes; vanity metrics are scoreboard numbers that feel good but don't inform decisions. Use this distinction when setting KPIs to avoid the footgun of celebrating 'total downloads' over actual retained…
Experimentation Culture: Data Over Opinions
An experimentation culture prioritizes data over intuition, treating business ideas as testable hypotheses. It's crucial in product development for A/B testing features and UI. The footgun is only testing minor tweaks instead of challenging core assumptions.
Self-Service Analytics: Let Teams Answer Their Own Data Questions
Self-service analytics gives business teams tools like Power BI to explore data and build reports without waiting for an analyst. This speeds up decision-making by giving teams direct data access.
HiPPO: Highest Paid Person's Opinion
HiPPO stands for "Highest Paid Person's Opinion," where a senior leader's gut feeling overrules data. This occurs when deciding on features without A/B tests. The footgun: a HiPPO's intuition can kill great ideas or greenlight costly failures.
Data Literacy: Reading the Story in the Numbers
Data literacy is reading comprehension for numbers. It's the ability to turn raw data into a coherent story, a crucial skill for anyone using dashboards or A/B test results. The biggest footgun is confusing correlation with causation.
Customer Resurrection Rate: Winning Back Lost Customers
Customer Resurrection Rate measures how many "lost" customers you win back. It's crucial for subscription or e-commerce businesses running re-engagement campaigns. The footgun is a vague definition of "churned"—without a clear line, the metric is meaningless.
Analyzing Feature Engagement: Breadth vs. Depth
Breadth vs. Depth analysis plots features on a 2x2 grid: how many people use a feature (breadth) vs. how often (depth). It helps decide where to invest, like improving a popular but seldom-used feature or boosting a niche power-user tool.
Conversion Rate Optimization (CRO): Get More Value from Existing Traffic
CRO is the science of getting more value from your existing users, not just acquiring new ones. It’s used to increase purchases on e-commerce sites or drive signups for a service.
User Journey Analysis: Finding Friction and Opportunity
User journey analysis is like watching a film of your customer's experience to find plot holes. It helps spot where a product fails to meet expectations or has redundant steps. The biggest footgun is analyzing without a clear persona in mind.
Google Analytics 4
Google Analytics is a service for tracking user activity across websites and mobile apps. It helps measure marketing performance by tracking traffic and user 'events'. The footgun is focusing on raw traffic instead of the events that signal valuable actions.
Workforce Analytics: Data-Driven People Decisions
Workforce Analytics applies systematic data analysis to people-related decisions, moving beyond gut feelings for hiring and promotions. It's used to predict turnover or measure training ROI.
Business Analytics vs. Business Intelligence
Business Analytics predicts the future and prescribes actions, while Business Intelligence describes the past. BI reports last month's sales; BA forecasts next month's demand.
Sales Velocity: How Fast Your Pipeline Makes Money
Think of sales velocity as the speedometer for your revenue engine, measuring how quickly your pipeline generates money. Sales leaders use it to forecast revenue and find bottlenecks.
Burn Rate: Your Startup's Financial Clock
Burn rate is your company's financial countdown timer, showing how fast you're spending cash before you run out. Startups use it to track monthly cash consumption and determine their runway.
Customer Lifetime Value (CLV): A Customer's Total Worth
Customer Lifetime Value (CLV) predicts the total net profit a customer will generate, not just a single sale's revenue. It's used to set acquisition budgets and guide retention efforts. The footgun is using revenue instead of profit, leading to overspending.
DAU/MAU Ratio: Measuring Product Stickiness
The DAU/MAU ratio measures product stickiness by comparing daily to monthly users. Social media apps aim for high ratios (50%+), while e-commerce expects lower ones. The footgun is comparing ratios without context; a 'good' number varies by product type.
Customer Retention Rate: Your Leaky Bucket Metric
Customer Retention Rate measures how many customers you keep over a period, showing how "leaky" your business's bucket is. It's vital for subscription services and e-commerce to gauge loyalty and predict revenue. A high overall rate can hide dangerous churn.
Net Promoter Score (NPS): A Snapshot of Customer Loyalty
NPS distills customer loyalty into one number by asking, "How likely are you to recommend us?" It's a quick pulse check for product teams. The footgun is treating the score as a diagnosis; it tells you *what* customers feel, but not *why*.
Exponential Smoothing: Weighting Recent Data More Heavily
Exponential smoothing creates forecasts from a weighted average of past data, where weights decay exponentially for older points. It's used for quick, reliable predictions like inventory demand. The footgun: simple versions ignore trends and seasonality.
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