Learning Experience Design (LXD) continues to evolve rapidly. In 2025, the right tools help designers create engaging, measurable, and effective learning experiences. From authoring platforms to AI-powered assistants, this guide covers the best tools for Learning Experience Designers in 2025, why they matter, and how they fit into a modern LXD workflow.
Why the right tools matter in Learning Experience Design
Learning Experience Design is not just about creating courses. It focuses on designing end-to-end learner journeys, improving engagement, and measuring real-world impact.
The right LXD tools help designers:
- Build interactive, learner-centered experiences
- Prototype and test learning flows
- Personalize learning at scale
- Measure engagement and outcomes
Authoring tools for structured learning
Articulate 360
Articulate 360 is widely used for building interactive eLearning modules. It supports responsive design, branching scenarios, and multimedia learning.
Common use cases
- Microlearning modules
- Scenario-based learning
- Compliance and corporate training
External link: https://articulate.com/360
Adobe Captivate
Adobe Captivate is commonly used for software simulations and system-based training. It allows Learning Experience Designers to create realistic, task-based learning environments.
Common use cases
- Software simulations
- System walkthroughs
- Process training
External link: https://www.adobe.com/products/captivate.html
Internal resource:
https://lxdguild.com/tools-resources/
Design and prototyping tools for LXD
Figma
Figma helps Learning Experience Designers prototype learner journeys and collaborate with stakeholders in real time.
Why LXD teams use it
- UX-driven learning design
- Rapid prototyping
- Collaboration with SMEs and developers
External link: https://www.figma.com
Canva
Canva is often used for creating quick visual assets such as infographics, job aids, and microlearning visuals.
Best for
- Learning visuals
- Infographics and job aids
- Internal learning communications
External link: https://www.canva.com
AI tools supporting Learning Experience Designers
AI tools are increasingly used to support designers by speeding up ideation and content creation.
ChatGPT
ChatGPT helps Learning Experience Designers draft learning objectives, scenarios, assessments, and outlines.
Typical applications
- Scenario drafting
- Knowledge checks
- Learning content outlines
External link: https://chat.openai.com
Synthesia
Synthesia enables the creation of AI-generated video content without traditional video production.
Where it fits
- Onboarding videos
- Product and process training
- Multilingual learning content
External link: https://www.synthesia.io
Internal resource:
https://lxdguild.com/lxd-verse/
Learning platforms and experience ecosystems
Moodle
Moodle remains a popular open-source learning platform. When enhanced with plugins and analytics, it can support experience-driven learning journeys.
Used for
- Custom learning ecosystems
- Blended learning programs
External link: https://moodle.org
Degreed
Degreed focuses on skills, pathways, and personalized learning rather than traditional course catalogs.
Used for
- Skill development
- Personalized learning journeys
External link: https://www.degreed.com
Analytics and feedback tools
Google Analytics
Google Analytics can be used to track learner behavior, engagement patterns, and drop-off points across learning platforms.
External link: https://analytics.google.com
SurveyMonkey
Survey tools help gather learner feedback and measure perceived learning effectiveness.
External link: https://www.surveymonkey.com
How to choose the right LXD tools in 2025
- Learner experience over features
- Integration with existing systems
- Scalability across programs
- Data and measurement capabilities
Choosing fewer, well-integrated tools often leads to better outcomes than managing multiple disconnected platforms.
Key takeaway
The best tools for Learning Experience Designers in 2025 are those that support experience-led learning, collaboration, and measurable impact. Tools should reduce production friction and allow designers to focus on what matters most—designing meaningful learning experiences.