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Growth & Experimentation

A/B testing, growth loops, conversion, retention

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Test yourself: Top 30 Growth & Experimentation interview questionsMultiple choice, with the correct answer and why it is correct on every question. Free, no sign-in. No advanced set yet. This is the full Growth & Experimentation quiz.

Advanced everything in Growth & Experimentation, page 3

advanced2 min read

Customer Health Score: A Predictive Churn Signal

A Customer Health Score is like a credit score for customer loyalty, predicting churn risk. SaaS companies use it to focus retention efforts on at-risk accounts before they cancel. The footgun is using vanity metrics like logins over true value signals.

Negative Churn: When Losing Customers Still Means Growth
advanced2 min read

Negative Churn: When Losing Customers Still Means Growth

Negative churn means existing customers upgrade faster than others leave, growing your revenue even if you lose logos. It's a key SaaS metric for variable pricing models. The footgun: you can have negative revenue churn while still losing many customers.

advanced2 min read

Onboarding Gamification: Guiding Users with Game Mechanics

Onboarding gamification uses game-like elements to guide new users through key actions, turning a checklist into a challenge. It's used to boost activation by making initial setup feel rewarding, like earning a badge for completing your profile.

Personalized Onboarding: One Size Fits None
advanced2 min read

Personalized Onboarding: One Size Fits None

Personalized onboarding guides users based on their role or goal, not a generic script. It's key for apps with diverse user types, showing marketers and engineers different paths to value. The footgun is a one-size-fits-all tour that buries their "aha!"

advanced2 min read

Contextual Onboarding: Just-in-Time User Guidance

Contextual onboarding delivers guidance exactly when a user needs it, triggered by their actions. It introduces core features step-by-step as users explore, preventing overwhelm.

Real-Time Bidding (RTB): An Instant Auction for Every Ad
advanced2 min read

Real-Time Bidding (RTB): An Instant Auction for Every Ad

RTB treats every ad slot like a stock trade. The moment a page loads, an auction runs in milliseconds for advertisers to bid on showing their ad to you. It's how hyper-targeted ads appear instantly across different websites.

advanced2 min read

Lookalike Audiences: Find More of Your Best Customers

Lookalike audiences find new customers by algorithmically modeling your best existing ones. Ad platforms like Facebook use your "seed" list of high-value users to find a much larger group of statistically similar people to target with ads.

advanced1 min read

Demand-Side Platform (DSP): Your Ad-Buying Robot

A DSP is an automated bidding system for advertisers, like a stock trading bot but for ad space. It lets them buy impressions across many publisher sites from one interface, targeting users in real-time auctions.

advanced1 min read

Programmatic Advertising: A Stock Exchange for Ads

Think of programmatic advertising as a stock exchange for ad impressions. It automates buying ad space via real-time auctions, letting you target specific users across the web. The main footgun is paying for fraudulent bot traffic or appearing on unsafe sites.

advanced2 min read

Bonferroni Correction: Raising the Bar for Significance

The Bonferroni correction prevents finding false positives when running many tests by making your significance threshold stricter for each one. It's used in A/B tests with multiple variants.

advanced2 min read

Minimum Detectable Effect: How Small a Change Can You See?

Minimum Detectable Effect (MDE) is the smallest change your A/B test can reliably see. You calculate it *before* a test to determine the sample size needed.

advanced2 min read

The Endowment Effect: We Overvalue What We Already Own

We irrationally value things more simply because we own them. This appears in free trials that create a sense of ownership, making users less likely to cancel. The footgun is assuming users judge value objectively; they don't, and will resist switching.

The IKEA Effect: Why We Overvalue What We Build
advanced2 min read

The IKEA Effect: Why We Overvalue What We Build

The IKEA effect is our tendency to overvalue things we help build. It's used in products that let users customize profiles or dashboards, increasing their investment. The footgun: if the task is too hard or fails, users feel incompetent and abandon it.

Variable Rewards: The Engine of Habit
advanced2 min read

Variable Rewards: The Engine of Habit

Variable rewards make products sticky by creating unpredictable payoffs, like a slot machine. This drives repeat actions in social feeds or games. The footgun is that overuse can feel manipulative and lead to user burnout or accusations of addictive design.

advanced2 min read

Nudge Theory: Shaping Choices Without Forcing Them

Nudge theory influences behavior by subtly redesigning the environment where choices are made. It's used in product design to guide users toward desired actions, like setting smarter defaults.

Schema-on-Read vs. Write: Pay for Structure Now or Later?
advanced2 min read

Schema-on-Read vs. Write: Pay for Structure Now or Later?

Schema-on-Write pays to structure data upfront for fast, consistent reads. Schema-on-Read defers this cost to query time for flexible ingestion. This choice underpins relational databases (write) vs. data lakes (read). The footgun is creating a data swamp.

advanced2 min read

Attribution Modeling: Who Gets Credit for a Conversion?

Attribution modeling decides how to credit different marketing channels for a conversion. It's like splitting a sales commission: does the first call, the final meeting, or everyone involved get credit? The footgun is using a simplistic model like last-touch.

advanced2 min read

Identity Resolution: Stitching User Profiles Together

Identity resolution stitches together scattered user data into a single profile. It's like a detective matching a phone number from your CRM and a cookie from your website to the same person.

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.

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.

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