Intermediate everything in Product Management, page 39
Notification Preference Center: Granular Control to Reduce Churn
A notification preference center gives users granular control, not just a global unsubscribe. It lets them choose what (updates vs. reminders), where (email vs. push), and how often (real-time vs.
Streaks: Engineering Identity Through Loss Aversion
Streaks convert effort into identity, making users fear losing progress more than they enjoy extending it. Apps like Duolingo use this for daily engagement, but the footgun is when the streak itself becomes the goal, trapping users in a loop of loss aversion.
Email Drip Campaigns: Automated User Nurturing
An email drip campaign is an automated conversation guiding a user from one state to another. It's used for onboarding new users or re-engaging inactive ones. The footgun is creating a rigid monologue that ignores user behavior instead of reacting to it.
In-App Messaging: A Guide Inside Your Product
Think of in-app messages as a helpful guide inside your app, not an interruption. They appear based on user actions to provide timely context, unlike push notifications. Use them for onboarding or feature announcements.
Interactive Walkthroughs: Learn by Doing, Not Just Seeing
An interactive walkthrough teaches by doing. Instead of clicking 'Next,' users must perform the actual task to advance. It's best for critical onboarding flows where learning a workflow is key to activation.
Progressive Disclosure: Show Less, Reveal More
Progressive disclosure manages complexity by showing only essential features upfront, like a "Read More" button for your UI. It's used in print dialogs and e-commerce specs to avoid overwhelming users.
Cost Per Mille (CPM): The Price of 1,000 Ad Impressions
CPM is the price for 1,000 ad impressions, a common metric for brand awareness campaigns. It's like buying billboard space online. The footgun is confusing low cost with high value; CPM measures exposure, not engagement or conversion.
App Store Optimization (ASO): SEO for Mobile Apps
ASO is SEO for app stores, aiming to get your app seen and downloaded organically. It involves optimizing keywords, screenshots, and reviews to rank higher in search and charts.
Display Advertising: Renting Billboards on the Web
Display advertising is like renting billboards on third-party websites, using banners and videos to reach users where they are. It's used for brand awareness and retargeting. The footgun: judging success by clicks alone ignores its value in brand lift.
Referral Marketing: Turning Customers into a Sales Force
Referral marketing turns happy customers into a trackable sales force. Instead of just hoping for word-of-mouth, you actively incentivize users to refer friends. The footgun is treating it as a passive process rather than an active, trackable campaign.
Affiliate Marketing: Your Extended, Commission-Only Sales Team
Affiliate marketing is like having a commission-only sales team. You pay partners for actual results—sales or signups—not just for ad views. It's used by e-commerce stores with bloggers or SaaS companies rewarding referrals.
Regression to the Mean: Why Outliers Settle Down
Extreme results are part skill, part luck. Regression to the mean is the principle that luck evens out, so a follow-up measurement will be closer to the average. This impacts A/B tests and performance analysis.
Novelty and Learning Effects in A/B Testing
The novelty effect is a temporary metrics lift from curious users exploring a new feature. The learning effect is the opposite: a dip as users struggle with a change. Both can mislead A/B tests if you don't run them long enough to see the true.
Chi-Squared Test: Are These Two Things Related?
A Chi-Squared test detects 'surprising' differences between what you observe and what you'd expect. It's used to check if two categorical variables, like a landing page variant and a user's sign-up action, are independent or related.
Student's t-test: Is This Difference Real or Just Noise?
A t-test tells you if the difference between two group averages is statistically significant, especially with small samples. It's used in A/B testing to see if a new feature actually improved a metric, or if the change is just noise.
The RICE Scoring Model: Prioritize with Data, Not Feelings
RICE is a formula—(Reach × Impact × Confidence) / Effort—for scoring competing features. It replaces gut feelings with a data-driven framework for prioritizing product roadmaps. The biggest footgun is treating the score as gospel, not a conversation starter.
The Paradox of Choice: Why More Options Can Hurt
The Paradox of Choice argues that more options can decrease user satisfaction. Instead of empowering users, an explosion of choices in pricing tiers or feature settings can lead to decision paralysis. The footgun is assuming users want maximum choice.
The Peak-End Rule: Design for Memory, Not Averages
Users don't remember the average of an experience; they remember its most intense moment and its end. This shapes recall of onboarding, support calls, or checkout. The footgun is optimizing for overall 'goodness' while ignoring a painful peak or weak ending.
Anchoring Bias: The First Number You See Matters Most
The first number you see acts like a mental anchor, warping all subsequent judgments. This is used in pricing, where a high "original" price makes a sale price seem better, and in negotiations.
The Hook Model: Designing for Repeat Engagement
The Hook Model engineers user habits with a 4-step loop: Trigger, Action, Variable Reward, and Investment. It's a framework for building products people return to on their own, common in social media and games.
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