LaunchDarkly Features

Configures and accurately measures an appropriate measure of engagement, such as average session length.

Accurately measures bounce rate.

Tracks user return rates and related metrics.

Tracks what proportion of users convert via a certain action.

Tracks metrics that provide insight into how a user interacts with any interface or product

Measure return on ad spend by tracking the actions people take such as sign up or download after engaging with ads

Identify the physical location of an individual, asset, device, etc.

Monitor conversion rates and analyze effectiveness and profitability of marketing efforts

Measures the retention rate and satisfaction of customers.

Track visitors and purpose of visits

Track visitors'/audience's responses across web pages and other optimized content

Identifies user demographics like gender or age.

Enables the view of analytic data based on user segment.

Identifies users locations.

Predict future data based on historical data sets

Enables you to define custom events for analysis.

Provides real-time reports.

Measures user acquisition analytics.

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Displays a users progress throughout specific paths in an application.

Displays a users activity history.

A set of rules that assigns credit for sales and revenue to touchpoints across the customer journey

Track user activities and events within an application.

Tracks where users are clicking on a web page.

Tracks mouse movement over a web page.

See where users experience the most difficulty on a web page.

Tracks sessions where users encountered errors and bugs.

Split web traffic to a page between two different URLs.

Offers insights into relationships between user information and user behavior.

Leave notes on sessions and bugs.

Collects user information (location, IP address, email, etc.).

Search sessions by keywords or IP address.

Ability to see analytics at the account level.

Ability to see analytics at the user level.

Ability to compare usage across segments such as role, company size, etc.

See how users move though a product via grouped page sequences

View analytics for multiple products in a single dashboard, including cross-product engagement

Breadth and functionality of integrations with third-party products.

Track and interpret metrics on the usage of company resources

Maintain, or facilitate maintenance of, tested and approved code in a deployment-ready state for manual pushes to production.

Integrate with other development and testing software, such as continuous integration or test automation tools.

Plug-in capable for added resources, features, and functions within the product itself.

Empowers users to smoothly deploy features in a variety of environments.

Allows teams to test features in production for select target groups without deploying.

Presents users with a low-code interface to build and maintain feature management systems.

Automatically adjusts resources base on application usage.

Monitors cloud microservices, containers, kubernetes, and other cloud native software.

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Designate the necessary tasks and workflows for a team's unique development cycle.

Generate visual dashboards and reports around development cycle progress.

Automate repository detection, version control, testing, and more.

Grants users a centralized dashboard for organized feature flag management.

Grants users granular control over feature rollouts and rollbacks.

Allows users to track the status of deployed features and application performance via automated alerts.

Give users in-app method of reporting bugs and leaving general performance feedback.

Give testers in-app method of reporting bugs and leaving general performance feedback.

Give team members method of reporting bugs and leaving comments on bug status.

Track history of bug status by application version, date, etc.

Store bug tracking data for an appropriate and useful amount of time.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Clearly notifies users with relevant information and anomalies in a timely manner.

Creates reports outlining log activity and relevant metrics.

Automatically allocates resources to address log anomalies.

Sets a standard performance baseline by which to compare log activity.

Constantly monitors logs to detect anomalies in real time.

Monitor or audit historical and current transactions to analyze customer account activities

Use AI to generate content in the form of text, images, videos, etc.

Analyze the performance of containers

Review data from past periods to reveal recurring tendencies and predict future performance

Graphical representation of data

Captures and analyzes each transaction by users of a website or application in real time.

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Provides reporting and analytics tools to quantify the results of the experiment.

Interact with data visualization elements, such as charts and graphs, to drill down into data

Allows for the testing of multiple variables at a time during a single test.

Conduct tests to compare performance across various versions of content (web pages, images, emails, etc.)

Allows mobile web pages to be tested during A/B experiments.

Uses AI to generate or suggest experiment variations to test website versions.

Uses AI or machine learning to automatically optimize traffic distribution between experiment variations.

Create many versions of emails, forms, or actions and gauge which is most effective

Use AI to generate content in the form of text, images, videos, etc.

Provides users with the ability to test and optimize prompts to improve LLM output quality and efficiency.

Offers tools for users to compare multiple LLMs side-by-side based on performance, speed, and accuracy metrics.

Gives users tools to integrate LLM functionality into their existing applications through SDKs and APIs, simplifying development.

Offers users the capability to deploy models quickly to production environments with minimal effort and configuration.

Provides users with live insights into model accuracy, latency, and user interaction, helping them identify and address issues promptly.

Offers users tools to set access permissions for different roles, ensuring only authorized personnel can interact with or modify LLM resources.

Ingests and processes multiple telemetry types, such as logs, metrics, and traces.

Supports ingestion and standardization of observability data via OpenTelemetry protocol.

Provides a consolidated view of system-wide telemetry in a single dashboard.

Allows users to explore and visualize distributed traces and span relationships.

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Correlates logs, metrics, and traces to surface performance patterns and root causes.

Identifies likely causes of issues using system insights and correlation logic.

Automatically alerts users to anomalies or critical events using contextual data.

Provides observability into containerized workloads and Kubernetes clusters.

Enables observability across public cloud, private cloud, and on-prem environments.

Active monitoring of systems, applications, or networks

Tracks and makes accessible data on the health of servers and other network components.

Analyze the performance of containers

Track and report on everything that happens within the system or network

Forecasts future system issues based on historical performance trends.

Use AI to generate content in the form of text, images, videos, etc.

Uses machine learning to detect unusual behavior across telemetry data.

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Assign issues and tasks based on availability or required skills

Arrange tasks based on the level of priority or urgency

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention

Set up connections to third-party platforms to improve business processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Enable businesses to implement machine learning algorithms on business data such as sales and revenue

Tracks changes to prompts over time.

Helps users run test outputs across different models.

Tracks execution time of prompts across models.

Helps in monitoring token consumption and API call frequency.

Identifies expensive prompts to help teams optimize for cost efficiency.

Helps in A/B testing of prompts across models.

Helps to plug into CI/CD for automated testing, validation, and deployment of prompts.

Helps generating reliable and consistent AI outputs.

Lets teams configure execution order and dependencies among AI components, ensuring workflows run smoothly and logically.

Streamlines the management of multiple AI models and agents by bringing them together into cohesive, automated workflows for complex business tasks.

Connects with a wide array of AI model APIs and external services, regardless of provider, within a single orchestration platform.

Enables the construction of sophisticated, multi-step AI workflows that combine specialized models for end-to-end process automation.

Integrates seamlessly with enterprise platforms such as CRMs, databases, and business applications for unified data and process flow.

Supports the setup of live data pipelines that move information instantly between AI components and enterprise systems.

Offers comprehensive dashboards to visualize KPIs and performance metrics for all orchestrated AI workflows.

Generates in-depth reports on workflow performance, resource consumption, and the overall business impact of AI orchestration.

Tracks and displays resource usage across all AI components, enabling proactive performance tuning and troubleshooting.

Dynamically manages and allocates computational resources, including GPU clusters, to maximize efficiency based on current workflow needs.

Scales AI workloads up or down automatically, adapting to fluctuations in processing demands and user traffic.

Provides insights into data flow, processing times, and success rates for each individual AI component within a workflow.

Ensures all AI workflows adhere to relevant regulatory standards and industry requirements.

Empowers organizations to enforce governance policies and compliance controls across orchestrated AI operations.

Facilitates the setup of role-based permissions and approval workflows for sensitive AI operations and deployments.

Maintains comprehensive logs and audit trails of workflow executions to support compliance and troubleshooting efforts.

Applies robust security protocols and policies to protect sensitive AI deployments and data flows.

Capability to perform complex tasks without constant human input

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Set up connections to third-party platforms to improve business processes

Engages in human-like conversation for task delegation

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Software program that continuously adjusts its behavior based on observed data

Set up connections to third-party platforms to improve business processes

View analytics for multiple products in a single dashboard, including cross-product engagement

Ability to see analytics at the user level.

Ability to see analytics at the account level.

Ability to compare usage across segments such as role, company size, etc.

See how users move though a product via grouped page sequences

Scores customers and visitors to identify at-risk or thriving accounts.

View analytics for multiple products in a single dashboard, including cross-product engagement

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Receive automated alerts and reports based on gains or losses in performance.

Breadth and functionality of integrations with third-party products.

Enables step-by-step inspection of agent reasoning, tool calls, and intermediate outputs to identify failure points.

Displays agent execution paths, decision trees, and tool call sequences in a visual, navigable format.

Traces multi-step AI agent workflows including LLM calls, tool invocations, retrieval steps, and intermediate reasoning states.

Detects behavioral regressions by comparing agent performance across model versions, prompt changes, or configuration updates.

Identifies instances where the agent generates factually incorrect or unsupported content.

Assesses agent output quality using methods such as LLM-as-judge, rule-based checks, or custom evaluators.

Notifies teams of quality degradations, error spikes, or anomalous agent behavior in production.

Tracks response times across agent steps, LLM calls, and tool invocations to identify performance bottlenecks.

Monitors token consumption and attributes costs across models, agents, and workflows.

Maintains comprehensive logs of agent actions, decisions, and data access for compliance and governance purposes.

Automatically identifies and inventories AI agents deployed across environments, including their configurations and dependencies.

Monitors agent behavior against defined organizational policies, guardrails, and regulatory requirements.

Application programming interface that allows for integration with other systems/databases

A record of all activities within the system, including user access, changes made, etc.

Assemble applications and processes by dragging over and arranging pre-built components

Estimate or forecast of a future scenario based on the study of present trends

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.

Track, manage, or resolve user requests and IT incidents/issues

Observe and track the demand, usage, progress or quality of a system, product, or user

Track the status over time for a request, process, asset, or transaction

Reporting on how each user, task or process has advanced since its initiation

Create, design and manage workflows for repetitive tasks

Measure time to completion or hours worked for projects

Record and follow the progress of every issue

Configure existing workflows to meet your organization's needs

Provides a channel for team members to share media files, communicate, and work together

Iterative project Management approach that involves technologies such as Kanban, Scrum, XP, APF, XPM and more

Customize data fields to support various needs and use cases

The process of evaluating, scheduling, and assigning tasks that have been put on the back burner in favor of higher priority items.

Receive system updates as soon as any changes are made

Allow users to access multiple services after entering their login credentials once

Use AI to generate content in the form of text, images, videos, etc.

Track and manage the scheduling of tasks

Track and document all activities across devices, networks, and other systems

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Create, manage and track all task activities and progression

Plan and coordinate all the resources, costs and time needed to execute assignments

Organize and schedule projects

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Connect to code repositories (e.g., Git or SVN) to import a project or automate the scanning of source code

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Manage, store and organize emails within the system or via third-party apps

Manage a repository of information that includes articles, FAQs, or tutorials used for self-service support

Ability to handle several projects simultaneously

Attach digital tags to documents and assets for identification, search, or monitoring purposes

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Create, save, and store files

Identify and respond to unexpected problems or failures (ie. "negative events")

Graphical representation of data

The creation of a bug/issue ticket, submitted by a team member, customer or end user

Monitor and track bugs and issues in the system.

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Leave comments and notes on documents for others to view

An @mention is a way to tag or notify a specific person about a message/post

Set up connections to third-party platforms to improve business processes

Pre-designed layouts that can be customized to match preferences and requirements

Track the status and progress of tasks

Notifications that are delivered to users as soon as an event occurs

Define levels of authorization for access to specific files or systems

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Gauge satisfaction and receive information for improvement and success

Access software remotely via mobile devices

Pre-designed layouts that can be customized to match preferences and requirements

Create, design and manage workflows for repetitive tasks

Alter the layout and content of reports

Program to edit text files that renders the content in accordance with embedded markup code such as HTML

Improving user journey to boost the percentage of visitors who take a desired action (sign-ups or purchases)

Define levels of authorization for access to specific files or systems

Group campaigns by project, client, or campaign for better management.

An extended application or connector that enables users to perform additional services with their current set of tools

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Method of analysis that visualizes the series of events that lead towards a defined goal.

Assemble applications and processes by dragging over and arranging pre-built components

Application programming interface that allows for integration with other systems/databases

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

Track visitors'/audience's responses across web pages and other optimized content

Create landing pages or online forms designed to capture new leads and prospects

Tracks metrics that provide insight into how a user interacts with any interface or product

Geographic location of visitors determines behavior of the software

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Observe and track the demand, usage, progress or quality of a system, product, or user

Measure return on ad spend by tracking the actions people take such as sign up or download after engaging with ads

Add customized logos and colors to align with company branding

Receive data and information in real time

Creation, administration, and evaluation of assessments or tests

Search and filter data across systems to locate required information by entering keywords or certain criteria

Graphical representation of data

Apply statistical/mathematical models to sets of data

Detect (and block) vulnerabilities and threats in your applications based on vulnerability information

Process of distributing a set of tasks over a set of resources, with the aim of making their overall processing more efficient

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Receive data and information in real time

Report and update incidents related to health or workplace injuries that occur on a job or en route to a job site

Analyze and gain insights into data in real-time

Identifying, analyzing, and mitigating security issues and taking appropriate action to protect systems and data from potential harm

Information to prevent, understand and identify cyber threats

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Track and manage adherence to policies for any service, product, process, or supplier

Create, design and manage workflows for repetitive tasks

Identify component attributes like servers, hardware, software, and manage relationships across all services

Record and follow the progress of every issue

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Collects and aggregates data from various systems within the IT environment

Take actions to troubleshoot issues for networks, devices, etc.

Manage and track all disruptions and incidents

Identify and analyse the reasons behind accidents

Arrange tasks based on the level of priority or urgency

Quantifiable metrics to track objectives, gauge milestones, and evaluate the success of a particular activity

Observe and track the demand, usage, progress or quality of a system, product, or user

Trigger clickable pop-up messages

Define levels of authorization for access to specific files or systems

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Conceptual model of how data items relate to each other

Method of analysis that visualizes the series of events that lead towards a defined goal.

For the intention to be used by marketing teams

Allow users to access multiple services after entering their login credentials once

Create, design and manage workflows for repetitive tasks

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Review data from past periods to reveal recurring tendencies and predict future performance

Access software remotely via mobile devices

Set up connections to third-party platforms to improve business processes

System alerts about the need to escalate an issue or request

Import and export data to and from software applications

Provides a channel for team members to share media files, communicate, and work together

Record active support and chat sessions for auditing and training

Graphical representation of data

Identify and analyse the reasons behind accidents

Assemble applications and processes by dragging over and arranging pre-built components

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Use AI to generate content in the form of text, images, videos, etc.

Analytics that breaks the data in a data set into related groups/categories.

Identify and respond to unexpected problems or failures (ie. "negative events")

Track and manage adherence to policies for any service, product, process, or supplier

A visual display that uses a color spectrum to show how visitors interact with areas of a web page

Add customized logos and colors to align with company branding

Search and filter data across systems to locate required information by entering keywords or certain criteria

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Predefined actions automatically performed on the occurance of specific events

Application programming interface that allows for integration with other systems/databases

View and track pertinent metrics to find patterns and gain insights from data

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Measure return on ad spend by tracking the actions people take such as sign up or download after engaging with ads

Method of analysis that visualizes the series of events that lead towards a defined goal.

Capture, organize and track product-specific data and information in a centralized location

Tracks metrics that provide insight into how a user interacts with any interface or product

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Analytics that breaks the data in a data set into related groups/categories.

Record active support and chat sessions for auditing and training

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Graphical representation of data

Visualize and analyze customer experience across all touchpoints and channels

Use AI to generate content in the form of text, images, videos, etc.

Edit and personalize data view as needed

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Receive data and information in real time

Receive and/or send email notifications for urgent updates, requests, or other information

Detect areas where test errors occur

Application programming interface that allows for integration with other systems/databases

Track the availability time for a designated network or website over a given period of time

Process of planning, scheduling and executing the optimal and effective use of human capital across projects

Creation and customization of dashboards

Import and export data to and from software applications

Define network parameters and threshold settings to monitor network health and take necessary precautions

Record and follow the progress of every issue

Assemble applications and processes by dragging over and arranging pre-built components

View and track pertinent metrics to find patterns and gain insights from data

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Arrange tasks based on the level of priority or urgency

Provides a channel for team members to share media files, communicate, and work together

Active reporting of data and metrics

Track, manage and store the applications of potential future members, customers or candidates

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Manage and track all disruptions and incidents

Define levels of authorization for access to specific files or systems

Track the status over time for a request, process, asset, or transaction

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

Alter the layout and content of reports

Access client's system information, including hardware and software configuration, to perform diagnostics

Allow users to access multiple services after entering their login credentials once

Create, design and manage workflows for repetitive tasks

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Track and document all activities across devices, networks, and other systems

A chronological record of actions or occurrences within a network, software, or process