Intermediate everything in Growth & Experimentation, page 5
Bayesian vs. Frequentist A/B Testing
Frequentist testing asks how surprising a result is if nothing changed; Bayesian asks probability B is better. Frequentist fixes sample size to control false positives, while Bayesian lets you peek.
Framing Effect: Presentation Rewires Decisions
The same fact hits differently depending on its wrapper. In growth, framing decides whether users see "90% uptime" or "10% downtime," swinging conversions without changing the product. Teams obsess over the offer yet ship copy that frames value as a loss.
Commitment and Consistency: The Identity Ratchet
People follow through on what they already said yes to. Use it to turn a tiny user action into sustained engagement, or to get a team to ship by making a public deadline. A coerced yes creates resentment, not consistency.
Scarcity Principle: Limit Availability to Drive Action
People want what they might lose. In growth, scarcity amplifies conversion by framing offers as limited in time, quantity, or access. The footgun is fake scarcity: invented limits destroy trust and backfire permanently.
Sessionization: Bounding Events into Visits
Sessionization groups raw user events into visits using idle timeouts. Teams use it to measure engagement and attribute conversions per sitting. The footgun is treating sessions as users, which inflates counts and wrecks retention analysis.
HEART Framework: Five Metrics for Product Health
HEART is a vital-signs panel for product health, not a single score. Use it to pick metrics for feature launches so you track user value, not vanity numbers. Measuring all five dimensions when only one matters creates dashboard bloat and analysis paralysis.
PPC: Buying Intent, Not Attention
PPC buys intent, not attention: you bid to appear when someone searches for what you sell, paying only if they click. Use it for high-intent offers like B2B software where organic reach is slow.
Dunning Management: Recovering Failed Subscription Payments
Dunning is the automated process of chasing failed subscription payments. It's how you recover revenue from expired cards or insufficient funds, which is crucial for any SaaS or subscription business.
Vanity vs. Actionable Metrics: Measure What Matters
Actionable metrics explain *why* and guide your next move, while vanity metrics just look good on a chart. Use actionable metrics for setting KPIs to understand user behavior and business health.
Quantitative Growth Model: The Spreadsheet That Runs Your Business
A quantitative growth model is a spreadsheet that maps your business, showing how inputs like ad spend turn into revenue. It's used to forecast growth, simulate strategy changes, and set goals. The footgun: your model is only as good as its assumptions.
What a Head of Growth Actually Does
A Head of Growth is a systems architect for revenue, deciding where to place strategic bets, not just a campaign manager. They align product, engineering, and marketing around shared metrics and build the experimentation engine.
Growth Engineer: The Entrepreneur Inside the Company
A growth engineer is an entrepreneurial developer using code to directly drive business metrics. They work across the product, optimizing onboarding or running experiments to boost activation.
Holdback Groups: Measure Your True Cumulative Impact
A holdback group is your product's long-term control, shielding a small set of users from all new features. Use it to measure the cumulative impact of many small changes over months or years, beyond what individual A/B tests can show.
User Bucketing: The Engine of A/B Testing
User bucketing is a deterministic hash that assigns users to experiment groups. It ensures a user sees the same variation every time, which is critical for valid A/B tests. The main footgun is using an unstable user ID, which can re-bucket users and ruin your.
Product-Led Sales: Your Product is Your Best Salesperson
Product-Led Sales (PLS) treats your product as the primary lead generator. Instead of cold calls, sales teams engage users who show buying intent through their product usage, guiding them to a natural upgrade.
Product-Led Growth (PLG): Let Your Product Sell Itself
Product-Led Growth (PLG) makes the product the primary engine for acquiring and converting users. It relies on a mix of free features, virality, and a smooth upgrade path to paying tiers, letting users experience value before they buy.
Expansion MRR: Growing Revenue from Existing Customers
Expansion MRR measures new monthly recurring revenue from your existing customers. It's how you grow through upgrades, add-ons, or cross-sells, not just new signups. The footgun is mixing it with new business MRR, which hides your product's retention power.
Empty State
An empty state is the screen a user sees before any data exists, like a new account with no projects or a search with no results, and treating it as a real design surface rather than a blank gap is a high leverage move for activation.
Time to Value (TTV): From Signup to 'Aha!'
TTV measures the time from signup to a user's first "aha!" moment. Product teams track it to reduce early churn, as faster value builds trust. The footgun is defining "value" as completing setup, not a real user win.
Guardrail Metrics: Don't Win the Battle to Lose the War
Guardrail metrics are your experiment's safety net, ensuring a win in one area doesn't cause a loss elsewhere. During A/B tests, you monitor them to catch negative side effects on site speed or revenue.
We are hiring for this. Every open role lists the topics its interview covers, so you can prepare for the real thing rather than guessing.
See open roles