# METRICS ## Data Analysis The collected data will primarily be used to answer the following questions. Images are used for visualization and are not composed of actual data. ### Do users install and run this? What is the overall engagement of the Containers experiment? **This is the standard Daily Active User (DAU) and Monthly Active User (MAU) analysis.** This captures data from the users who have the add-on installed, regardless of whether they are actively interacting with it. ![](kpi-1.png) ### Immediate Questions * Do people use the containers feature & how do people create new container tabs? * Click to create new container tab * \+ `entry-point` value: "tab-bar" or "pop-up" * Do people who use the containers feature continue to use it? * Retention: opening a second container tab (second tab in the same container, or a tab in a second container?) * What containers do people use? * userContextId * \+ Number of tabs in the container (when should we measure this? on every tab open?) * Do people edit their containers? * Click on "Edit Containers" * Click to edit a single container * Click "OK" * Click to delete a single container * Click "OK" * Click to add a container * Click "OK" * Do people sort the tabs? * Click sort * \+ Number of tabs when clicked * Average number of container tabs when sort was clicked * Do users show and hide container tabs? * Click hide * \+ Number of tabs when clicked * \+ Number of hidden containers when clicked * Click show * \+ Number of tabs when clicked * \+ Number of shown containers when clicked * Do users move container tabs to new windows? * Click move * \+ Number of tabs when clicked * Average number of container tabs when new window was clicked * How many containers do users have hidden at the same time? (when should we measure this? each time a container is hidden?) * Do users pin container tabs? (do we have existing Telemetry for pinning?) * Do users change URLs in a container tab? (sounds like it could be a flood unless we only record the first URL change?) ### Follow-up Questions What are some follow-up questions we anticipate we will ask based on any of the above answers/data? * What is the average lifespan of a container tab? Is that longer or shorter than a regular tab? (if we don't have data on the latter, the former probably isn't worth gathering data on since we will have nothing to compare it to). ## Data Collection ### Server Side There is currently no server side component to Containers. ### Client Side Containers will use Test Pilot Telemetry with no batching of data. Details of when pings are sent are below, along with examples of the `payload` portion of a `testpilottest` telemetry ping for each scenario. * The user clicks on a container name to open a tab in that container ```js { "uuid": , "userContextId": , "clickedContainerTabCount": , "event": "open-tab", "eventSource": ["tab-bar"|"pop-up"] } ``` * The user clicks "Edit Containers" in the pop-up ```js { "uuid": , "event": "edit-containers" } ``` * The user clicks OK after clicking on a container edit icon in the pop-up ```js { "uuid": , "userContextId": , "event": "edit-container" } ``` * The user clicks OK after clicking on a container delete icon in the pop-up ```js { "uuid": , "userContextId": , "event": "delete-container" } ``` * The user clicks OK after clicking to add a container in the pop-up ```js { "uuid": , "userContextId": , "event": "add-container" } ``` * The user clicks the sort button/icon in the pop-up ```js { "uuid": , "event": "sort-tabs", "totalContainerTabsCount": "totalNonContainerTabsCount": } ``` * The user clicks "Hide these container tabs" in the popup ```js { "uuid": , "userContextId": , "clickedContainerTabCount": , "event": "hide-tabs", "hiddenContainersCount": } ``` * The user clicks "Show these container tabs" in the popup ```js { "uuid": , "userContextId": , "clickedContainerTabCount": , "event": "show-tabs" } ``` * The user clicks "Move tabs to a new window" in the popup ```js { "uuid": , "userContextId": , "clickedContainerTabCount": , "event": "move-tabs-to-window" } ``` ### A Redshift schema for the payload: ```lua local schema = { -- column name field type length attributes field name {"uuid", "VARCHAR", 255, nil, "Fields[payload.uuid]"}, {"userContextId", "INTEGER", 255, nil, "Fields[payload.userContextId]"}, {"clickedContainerTabCount", "INTEGER", 255, nil, "Fields[payload.clickedContainerTabCount]"}, {"eventSource", "VARCHAR", 255, nil, "Fields[payload.eventSource]"}, {"event", "VARCHAR", 255, nil, "Fields[payload.event]"}, {"hiddenContainersCount", "INTEGER", 255, nil, "Fields[payload.hiddenContainersCount]"}, {"totalContainerTabsCount", "INTEGER", 255, nil, "Fields[payload.totalContainerTabsCount]"}, {"totalNonContainerTabsCount", "INTEGER", 255, nil, "Fields[payload.totalNonContainerTabsCount]"} } ``` ### Valid data should be enforced on the server side: * `eventSource` should be one of `tab-bar` or `pop-up`. 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