Behavioral data

As explained in Automating API Delivery

A user action is an event representing an action performed by a user through a user interface.

To measure whether developers are joining an API program, capture what they do—not just the API requests they make. A user action is an event for an interaction through a user interface, such as submitting a form or clicking a button. A developer-portal sign-up that issues an API key is one such action. section 11.1.4

Send a Sign-Up user action event to Moesif when a developer registers, then chart daily new sign-ups as a time series. An increase in sign-ups might lead to more active users, but that is a hypothesis to test, not a result the chart establishes. section 11.1.4

Simulated sign-ups and API calls

A GitHub Actions workflow uses simulate-signups.js to create sign-ups and send Sign-Up events to Moesif. After a delay, simulate-apicalls.js makes sandbox and production requests; the Kong gateway sends separate API Call events. This distinguishes portal behavior from subsequent API use. section 11.1.4

Figure 11.7 The workflow file simulates user sign-ups to a developer portal and API calls to the gateway. It sends the associated user action events and API call events to Moesif.

The event-flow diagram shows where simulated sign-ups and gateway API calls enter Moesif. section 11.1.4

How Automating API Delivery covers it

How deep it goes

Defines user actions and walks through simulated capture and charting, rather than client-side integration code.

Examples

Uses simulated developer sign-ups, sandbox and production API calls, and a daily sign-up time series.

What it assumes

Assumes a developer portal and API gateway; provides a workflow to simulate their activity.

What you can do after

Operate/configure sign-up event capture and a Moesif time series to inspect daily acquisition trends.

How it connects

Connects user actions to API Call events, API keys, acquisition metrics, and active users.

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Also explained in

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  AI-Powered SearchUser behavior is the set of observable actions and interactions that people perform while using a search or information system.
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  Effective Data AnalysisUser behavior data is data recording the actions or interactions of users with a website, product, or service.
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  The Art of AI Product DevelopmentData recording users' actions and interactions with a product, such as listening, skipping, liking, and adding items to playlists.
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  First-Party Data ActivationObservable actions performed by users when interacting with a digital product or service, such as visiting pages or purchasing items.

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Related concepts

• clickstreamincludes · A clickstream is a chronological record of users’ interactions with a digital interface, such as clicks, page views, and navigation events.
• collaborative filteringused by · Collaborative filtering is a recommendation technique that infers preferences or associations from interaction patterns among users, items, or other entities.
• intentionmeasures · Intention is a goal or purpose attributed to an agent and expressed or implied by a request, action, plan, or desired outcome.
• ranking modelproduces · A ranking model is a predictive model that scores or orders candidate items according to their estimated relevance, preference, or utility.
• user engagementincludes · User engagement is a measure of the extent, frequency, or intensity of users' interactions with a product, service, system, or content.

This explainer was generated by Manning's knowledge graph from the text of Automating API Delivery. The section links point to the parts of the book it draws on.