Value Prop Flashcards
What is Retention Analysis?
Used to understand if users are coming back to your application over time
Retention Analysis Value Prop
If you don’t retain users you have a leaky bucket and cannot grow over time
What is Lifecycle?
Used to measure where your growth and churn are coming from
Lifecycle value prop
If you aren’t growing more than churning users you are decreasing in size overall
What is Stickiness chart?
Used to measure the addictiveness of a feature, shows us the # of days a user performed a specific event in a weekly or monthly interval
Stickiness value prop
Helps you optimize a core feature of your app that you expect users to get a love of value from
What is Pathfinder?
Visualizes the most popular flows users are taking in your app
Pathfinder Value Prop
- Identify users flows so you can optimize conversion funnel
- allows product teams to validate their hypothesis about how people move through their products
What is Funnel Analysis?
Used to analyze conversion rates across a sequence of events, important to understanding your critical path
Funnel Analysis value prop
Understanding if users are converting is crucial for growth
What is Event Segmentation?
Allows you to dig deeper into your events, event properties, users and user properties
What is an event?
An action a user takes in your app
What is User Composition?
Shows the breakdown of users based on user properties
User Sessions
Our user sessions chart helps you analyze users through three session based metrics: 1. session length distribution 2. average session length 3. average sessions per user
What is max paths pathfinder shows?
5
Pathfinder Users
All events and paths that users take in your app at a specified time. I need to measure “x” without any steps in between
A/B testing
In funnel analysis, shows if variant performs better than your baseline
What does Amplitude help you do?
Amplitude focuses on helping you understand how your users are interacting with your product so you can build a better product
N-Day Retention
This person came back and performed the return event on that specific day
Usage Interval
Events that happened on multiple days, how long did it take for the user to come back and perform the event again, what is the average between those 2 days
Data Table
For every chart shows you the each data point at a more granular level
What 3 things do you always forget to show in Event Segmentation?
Grouped by, date picker, save/share chart/dashboard
Elevator pitch on reading points
In order to read this chart we literally just read it left to right like an English sentence
Grouped by
Shows me the breakdown distribution of event properties or user properties