MTTR: Mean Time To Recover (or Resolve) Definition: The average time it takes to restore a system or product to normal operation after a failure or incident has been detected How to Calculate: Sum of (Time to Recover for each incident) / Total number of incidents Scenario: An E-commerce Website (Continued from MTTD) Here’s how MTTR would […]

MTTD: Mean Time To Detect Definition: The average time it takes to identify a problem or incident from the moment it occurs How to Calculate: Sum of (Time to Detect for each incident) / Total number of incidents Scenario: An E-commerce Website Imagine an e-commerce website that sells electronics. One day, a critical bug is introduced during […]

Definition: The percentage of times an application or system unexpectedly stops functioning during a given period Typically you would find your app’s crash rate from firebase crashalytics or your google play store’s console. If you track your app’s crash rate using Google’s Firebase Crashalytics module, then you will get the data for both android and ios […]

ANR: Application Not Responding Definition: Occurs when a mobile application’s UI (main) thread is blocked for too long (typically 5 seconds for input events or longer for broadcast receivers/services), causing the app to freeze and often resulting in a system dialog prompting the user to close the app How to Calculate: Often tracked as an ANR Rate ANR […]

Definition: The percentage of users who return to your product or service after a specific period (e.g., day 1 retention, week 4 retention, monthly retention). How to Calculate:

Definition: The percentage of monthly active users who also engage daily. It indicates how “sticky” your product is – how frequently users return How to Calculate: Divide the Daily Active Users (DAU) by the Monthly Active Users (MAU) for the same period Formula: DAU/MAU Ratio=(DAU/MAU)×100%

PAU: Peak Active Users (or Concurrent Users) Definition: The maximum number of users actively using your product or service at the same single point in time. This is particularly relevant for real-time applications, games, or live events. How to Calculate: Continuously monitor and record the highest number of simultaneous active users within a given timeframe (e.g., per […]

WAU = Weekly Active Users Definition: The number of unique users who engage with your App or service within a seven-day week. How to Calculate: Count the number of unique users who performed a defined “active” action at least once within a rolling seven-day period Formula: WAU=Number of Unique Users Active in a Week

DAU: Daily Active Users DAU=Number of Unique Users Active in a Day Definition: The number of unique users who engage with your product or service within a 24-hour period. “Engage” typically means performing a specific action like logging in, opening the app, or interacting with a key feature. How to Calculate: Count the number of unique users who performed a defined “active” […]